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    Status and prospect of automobile lightweight technology
    XU Shiwei, JI Zhikang, XIAO Peijie, YUAN Quan, YUAN Qiuqi, LIU Yu, LI Junhong, LI Kewei, LI Jianyu, ZENG Zhuoran, XIAO Zhi, HE Cong
    Journal of Automotive Safety and Energy    2025, 16 (1): 16-31.   doi:10.3969/j.issn.1674-8484.2025.01.002
    Abstract1464)   HTML334)    PDF (4843KB)(362)      

    With the rapid advancement of China's automobile industry and the swift increase in car ownership, the challenges posed by energy crisis, environmental pollution and traffic safety have become increasingly pronounced. Automobile lightweight technology is one of the most effective solutions to these issues. This paper reviews the current research status of automobile lightweight technology, and explores its future development prospects. Three primary approaches to achieving automotive lightweighting are identified: the utilization of lightweight materials, structural design optimization and advanced manufacturing processes. Lightweight materials mainly encompass ultra-high strength steel, aluminum alloy, magnesium alloy and other metallic materials, as well as polymer materials, composite materials, and other non-metallic materials. Structural design optimization involves topology optimization, shape optimization, size optimization and multidisciplinary design optimization for both whole vehicles and individual components. Advanced manufacturing processes include welding, riveting, similar/dissimilar material joining techniques and integrated die casting and other material forming technologies. The progression of lightweight technology is of great significance to the sustainable development of China's automobile transportation industry.

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    Research and prospect of intelligent and connected vehicles standard system and key standards
    SUN Hang, ZHANG Lu, JI Guotian
    Journal of Automotive Safety and Energy    2024, 15 (6): 795-812.   doi:10.3969/j.issn.1674-8484.2024.06.001
    Abstract810)   HTML1977)    PDF (1482KB)(2005)      

    Based on the National Vehicle Networking Industry Standard System Construction Guide (Intelligent Connected Vehicle) (2023 Edition), and following a thorough analysis of the intelligent connected vehicle standards system, this paper proposes a development pathway for standards in the intelligent networking domain and directions for coordinating international standard regulations, with a focus on automotive intelligence, network connectivity, automotive electronics, and comprehensive safety. Through an in-depth study of the technical system of driving automation, representative products, and application scenarios, a systematic framework and standardization route for advanced driving assistance systems (ADAS) and autonomous driving systems (ADS) have been established. By analyzing the technological and application scenarios of vehicular network communications, a standard system for network functions and applications, along with a standardization route, has been proposed. The current research status of automotive electromagnetic compatibility, electronic environmental and reliability assessment, automotive chips, and automotive electronics subfields has been reviewed, leading to the proposal of a standardization route for automotive electronics. Considering comprehensive safety, a four-dimensional safety concept for intelligent connected vehicles (ICVs) has been introduced, encompassing functional safety, anticipated functional safety, cybersecurity, and data security. The key components of each safety standard system have been discussed, and the standardization routes for these safety standards have been outlined. Finally, the paper explores the development of international standards and regulations for ICVs and the collaborative relationship between Chinese standards and international standards and regulations. In alignment with the developmental requirements of China’s intelligent connected vehicle (ICV) technology and standards, as well as the harmonization trends in international standards and regulations, this paper offers strategic insights and recommendations for the establishment of China’s ICV standard system and the development of key standards.

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    Research progress and prospect on safety of all-solid-state batteries
    GUO Chunli, TANG Shengkai, CUI Yu, MAO Yuqiong
    Journal of Automotive Safety and Energy    2025, 16 (5): 657-678.   doi:10.3969/j.issn.1674-8484.2025.05.001
    Abstract782)   HTML840)    PDF (3718KB)(3429)      

    All-solid-state batteries (ASSBs) possess potential performance advantages, such as high safety and high energy density, making them a strategic frontier in global power battery technology competition, which has been incorporated into the development strategies of major countries including China, the United States, Japan, South Korea, etc. Currently, the research & development of ASSBs has entered a critical breakthrough phase, with the leading enterprises such as Toyota, BYD, and CATL expecting to initiate the applications of ASSBs in electric vehicles around 2027. However, before large-scale application, comprehensive performance evaluation and failure analysis of ASSBs are still required to ensure their safe and reliable operation under complex working conditions in electric vehicles. Notably, existing research indicates that ASSBs still suffer from risks of thermal runaway and are not absolute safe, as their failure mechanisms under complex operating conditions remain inadequately understood. In light of this, this paper systematically reviews the potential safety issues of ASSBs from the perspectives of materials, interfaces, and cell design, including the intrinsic thermal stability of key materials such as cathodes, anodes, and solid state electrolytes; high-temperature thermochemical reactions at the cathode/anode-electrolyte interfaces; lithium dendrite growth and the resulting internal short circuits; and toxic gas production and environmental hazards during battery failure. Building on this analysis, the paper further outlines future research strategies for the safety of ASSBs from the perspectives of in-depth failure-mechanism analysis, optimization of key materials and interfacial stability, and system-level gas management and thermal protection, thereby offering systematic theoretical support and practical guidance for their safety assessment and engineering deployment.

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    Review on the integrated capacity of transportation and power networks
    WU Tong, HUANG Kai, LIU Zhiyuan, JIANG Wei
    Journal of Automotive Safety and Energy    2024, 15 (5): 634-649.   doi:10.3969/j.issn.1674-8484.2024.05.002
    Abstract767)   HTML57)    PDF (1700KB)(408)      

    Electric vehicles, as the core of transportation electrification, play an active role in reducing greenhouse gas emissions and improving energy efficiency. The significant growth in electric vehicle ownership and market share has impacted charging infrastructure, highlighting issues such as inadequate charging facilities and fluctuations in grid load. This paper provides a comprehensive review of the fundamental concepts, calculation methods, and assessment metrics related to transportation network capacity and power network capacity. It analyses the evaluation methods for the integration of transportation and energy networks and the resilience of their convergence. The paper explores potential challenges and strategies for transportation-power integration systems. It identifies urgent research gaps and outlines future research directions, aiming to optimize the efficiency of charging infrastructure, alleviate traffic congestion, and ensure the stable operation of the power grid.

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    Modeling and simulation of solenoid valve for one box electro-hydraulic braking system
    ZHAO Xinyu, XIONG Lu, ZHUO Guirong, LI Jing, SHU Qiang, PAN Guangliang
    Journal of Automotive Safety and Energy    2025, 16 (4): 521-528.   doi:10.3969/j.issn.1674-8484.2025.04.002
    Abstract743)   HTML297)    PDF (2684KB)(100)      

    In order to explore the working characteristics of the pressure boosting valves and pressure reducing valves of the One Box Electro-Hydraulic Braking System (EHB), multi-field-coupled modeling and simulating methods of pressure boosting valves and pressure reducing valves were proposed, and results were verified by innovative testing bench. The structures and working principals of pressure boosting valves and pressure reducing valves were introduced. Each physical characteristic of pressure boosting valves and pressure reducing valves were precisely modeled. Multi-field coupling simulations, including electromagnetic field, flow field, and motion field, and experimental verifications for the pressure boosting valve were conducted. Simulations and experimental verifications were performed for the pressure reducing valve, including electric circuit, electromagnetic field, and motion field. The results show that the simulation error of the flow rate of pressure boosting valve is lower than 1.5 mL/s, the open delay response error of pressure reducing valve is smaller than 1.3 ms, and the close delay response error smaller than 0.3 ms, indicating that the proposed simulation method has a high accuracy, and providing a guidance for the control of the valves.

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    Review on testing and evaluation of cognitive abilities for autonomous vehicles
    YANG Lan, ZHAO Xiangmo, WANG Runmin, WANG Zhen, FANG Shan, QU Guangyue
    Journal of Automotive Safety and Energy    2025, 16 (1): 1-15.   doi:10.3969/j.issn.1674-8484.2025.01.001
    Abstract648)   HTML801)    PDF (1433KB)(1732)      

    Accurate understanding of dynamic traffic scenarios is a crucial manifestation of the intelligence in autonomous vehicle (AV). Therefore, it is essential to validate its effectiveness through comprehensive, rational, and efficient testing and evaluation methods. To keep abreast of the research progress in test and evaluation on the cognitive capabilities of autonomous driving, this paper first delves the core issues existing in the field of AV test from macro, meso and micro perspectives. It explores in depth the cognitive correlations between AV and human driver. Secondly, based on the “pyramid” model architecture for AV test, it comprehensively reviews the latest research findings in key test scenario generation, virtual simulation test, hybrid virtual-real test, real-road test and cognitive capability evaluation. Finally, it highlights the challenges faced in the field of test and evaluation for AV cognitive capabilities and outlines future development trends. This comprehensive review will provide an important reference for the iterative evolution and functional validation of AV technology.

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    Review on the emission characteristics and near-zero emission control for ammonia-hydrogen internal combustion engines
    LI Liguang, SHANG Quanbo, TANG Yongjian, DENG Jun
    Journal of Automotive Safety and Energy    2025, 16 (3): 345-366.   doi:10.3969/j.issn.1674-8484.2025.03.001
    Abstract470)   HTML1337)    PDF (3877KB)(3251)      

    Facing to the background of global efforts to reduce carbon emissions and transition toward low- and zero-carbon energy systems in response to climate change, ammonia-hydrogen internal combustion engines have emerged as a promising and increasingly studied solution in the transportation sector due to their potential for zero carbon emissions. Ammonia offers several advantages as a fuel, including high hydrogen energy density, ease of storage and transport, and excellent anti-knock properties. However, its inherently slow combustion characteristics and nitrogen-containing nature bring significant challenges, particularly in terms of high nitrogen oxide (NOx), unburned ammonia (NH3), and nitrous oxide (N2O) emissions. Optimizing the combustion process of ammonia-hydrogen fuels and achieving near-zero emissions in internal combustion engines (ICEs) are relatively new research areas that presents formidable technical challenges.

    This paper reviews the latest research developments in the emission characteristics and near-zero emission control strategies for ammonia-hydrogen fueled ICEs. First, in terms of emission mechanisms, NOx formation during ammonia combustion is governed by complex pathways and is highly sensitive to equivalence ratio, pressure, and temperature. Earlier mechanistic studies focused primarily on low-pressure and medium-to-high temperature conditions, which differ significantly from the high-pressure, high-temperature environments of modern engines, highlighting a current gap in research. Second, in-cylinder pollutant formation and control remain key to emission reduction. In-cylinder control techniques, including optimization of fuel injection strategies, ignition timing, and intake conditions can effectively balance the relationship between emissions and thermal efficiency. Studies have shown that hydrogen enrichment can improve combustion efficiency and reduce NH3 and N2O emissions, though it may increase NOx formation. Lastly, aftertreatment technologies are critical to achieving near-zero emissions. Due to the unique characteristic of emissions from ammonia-hydrogen combustion, new dedicated aftertreatment systems are required. These include selective catalytic reduction (SCR) for NOx, ammonia slip catalysts (ASC), and strategies for addressing high global warming potential gases such as N2O. Additionally, hydrogen-selective catalytic reduction (H2-SCR) offers a novel pathway for mitigating hydrogen-related emissions in such engines. Future researches should focus on the synergistic optimization of in-cylinder combustion and specific aftertreatment systems, the development of low-temperature, high-efficiency catalysts, and the exploration of integrated aftertreatment solutions to meet increasingly stringent emission regulations and approach near-zero emissions. While ammonia-hydrogen dual-fuel ICEs hold significant promise in achieving carbon neutrality, their widespread adoption will require overcoming several technical challenges, particularly in emission control.

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    Future of autonomous driving: Single autonomous driving and intelligent vehicle-infrastructure collaboration systems
    LIU Yang, ZHAN Jiahao, LI Shen, LI Xiaopeng, CHEN Jun
    Journal of Automotive Safety and Energy    2024, 15 (5): 611-633.   doi:10.3969/j.issn.1674-8484.2024.05.001
    Abstract426)   HTML1122)    PDF (2377KB)(4483)      

    As global traffic congestion and safety concerns become increasingly prominent, the widespread application of autonomous driving technology is considered a vital solution. Two prominent areas of research in autonomous driving are single autonomous driving (SAD) and intelligent vehicle-infrastructure collaboration systems (i-VICS). This paper explores the fundamental concepts and critical technologies of both. In terms of SAD, the focus is on perception, localization, decision-making, planning, and control execution, while i-VICS is centered on cooperative perception, collaborative localization, vehicle-to-infrastructure communication, and hierarchical cloud control. Furthermore, it reviews the progress of research in these technologies and summarizes the development paths chosen by China, the United States, Germany, and Japan. The transformative impact of these technologies on the commercial and industrial supply chains is also examined. Finally, the paper analyzes the technical challenges faced by both SAD and i-VICS, along with the social and legal challenges of autonomous driving, offering insights into future development directions, and providing a reference for the innovation and application of autonomous driving technology.

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    Progress of mobile charging robot for photovoltaic energy storage and charging
    LI Shunming, WANG Changrong, SHI Wenbei
    Journal of Automotive Safety and Energy    2025, 16 (4): 505-520.   doi:10.3969/j.issn.1674-8484.2025.04.001
    Abstract397)   HTML875)    PDF (2064KB)(1137)      

    To address the rapidly growing charging demands of new energy vehicles, mobile charging robots integrated with photovoltaic energy storage and charging systems have emerged as a crucial direction in research and development. This paper outlines the necessity and significance of developing photovoltaic energy storage systems and mobile charging robots for new energy vehicles, along with their fundamental operational modes. It presents the structural framework and core advantages of the photovoltaic energy storage and charging system, as well as the classification and scenario-specific adaptability of mobile charging robots. Furthermore, the economic viability, safety, and reliability of photovoltaic energy storage and charging mobile robots are analyzed. The study reviews the current research status of three key technologies—autonomous charging, path planning, and charging port recognition and insertion—and evaluates their respective strengths and limitations. This paper also summarizes the development of a new system for application-oriented research on photovoltaic energy storage and mobile charging robots, along with its key enabling technologies, and explores various specialized application scenarios. Finally, the paper identifies the challenges faced by photovoltaic energy storage and charging technologies in areas such as energy transmission efficiency, safety and stability, dynamic programming, charging port identification and insertion, advanced energy storage solutions, and the expansion of application domains. It also provides insights into the future development trends of mobile charging robots.

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    Review on driving risk monitoring and intervention technologies
    LI Guofa, OUYANG Delin, CHEN Chen, NIE Binging, ZHANG Wei, YU Huili, Liu Bin, ZHANG Qiang, WANG Wenjun, CHENG Bo, LI Shengbo
    Journal of Automotive Safety and Energy    2025, 16 (2): 181-196.   doi:10.3969/j.issn.1674-8484.2025.02.001
    Abstract391)   HTML949)    PDF (1621KB)(246)      

    Safety has always been a critical concern in road transportation, serving as a fundamental pillar for ensuring traffic efficiency and supporting economic development. Driving risk monitoring and intervention are key technologies for enhancing vehicle safety, particularly with advancements in perception and information technology, which provide a robust data foundation and new avenues for implementation. This paper systematically reviews the research progress of driving risk monitoring and intervention techniques. Firstly, it examines the current state of driving risk monitoring from both of in-vehicle and external perspectives. Secondly, it reviews intervention strategies from both offline and online approaches. Studies have shown that interventions integrating visual, auditory, and haptic feedback can significantly improve driver response times, while haptic warning systems can help reduce the rate of driver errors. Then it is explored that the integration of risk monitoring and intervention technologies into Advanced Driver Assistance Systems (ADAS), autonomous driving systems, connected vehicle systems, and automated driving platforms. Studies have shown that intelligent systems based on vehicle-road-cloud collaboration can improve the real-time performance of risk warnings. The application of ADAS has been proven effective in reducing traffic accident rates and lowering Usage-Based Insurance (UBI) loss ratios. Finally, future research directions are discussed, including model optimization for lightweight deployment, big data applications, cloud-based control platforms, and the role of large-scale autonomous driving models in advancing risk monitoring and intervention technologies.

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    Economic analysis of recycling retired power batteries
    DU Shilong, HAO Han
    Journal of Automotive Safety and Energy    2025, 16 (1): 86-96.   doi:10.3969/j.issn.1674-8484.2025.01.009
    Abstract388)   HTML16)    PDF (1443KB)(110)      

    Recycling power batteries from electric vehicles is an important means of resource regeneration and pollution prevention. This paper constructed a techno-economic model and proposed the concept of “ideal discount coefficient” to evaluate the shock resistance of the recycling pricing system. 10 key components of recycling costs were quantified based on the recycling process of retired power batteries. The cost and benefits of hydrometallurgical recycling of lithium nickel cobalt manganese oxide (NCM) batteries and lithium iron phosphate (LFP) batteries were quantitatively analyzed to discuss the impact of market, policy, technology and other factors on the economic efficiency of recycling. The results show that at the baseline metal price level, the net profit of hydrometallurgical recycling of NCM 811 batteries is 3 493 CNY/t; The hydrometallurgical recycling of LFP batteries is not profitable, unless there is a rise in lithium prices. Therefore, incorporating lithium into base metals for recycling pricing can mitigate the sensitivity of the recycling discount coefficient to fluctuations in key battery raw material prices.

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    Safety and protection technologies for intelligent vehicles with strongly coupled structural, functional and information domains
    ZHAO Jian, GONG Jue, FAN Kefeng, LIU Pengbo, LI Linhui, WANG Xiang, XU Zheng, DONG Zeyuan, YAO Nianmin
    Journal of Automotive Safety and Energy    2025, 16 (6): 813-831.   doi:10.3969/j.issn.1674-8484.2025.06.001
    Abstract370)   HTML1620)    PDF (3355KB)(216)      

    Intelligent-vehicle structures are highly integrated with sensors, electronic systems, in-vehicle networks, communications, and cloud services, and these components interact strongly with each other. Such integration results in a pronounced fusion between physical structure and vehicle functions. Accordingly, the associated safety technologies have evolved into a strongly coupled framework that integrates structural safety, functional safety, and information security. This trend may have profound impacts on individuals, industries, and even national strategic interests. With data-flow transmission and interaction taken as the main thread, a comprehensive safety architecture with strong coupling across the structural, functional, and information domains is systematically reviewed. Major gaps are identified, including insufficient adaptability to extreme scenarios, an incomplete understanding of cross-domain coupling mechanisms, and inadequate full life-cycle safety assurance. The coupling between structural dynamic responses under multi-source disturbances and abnormal behaviors in electronic subsystems (perception, control, and connectivity) is further examined. On this basis, a strongly coupled structure-function-information safety and protection approach is proposed, and a safety detection and evaluation mechanism is established by explicitly considering cross-domain parameter interactions. The proposed mechanism supports multi-source risk linkage analysis, coordinated strategy management and control, and quantitative safety assessment. These results can serve as a technical reference for the large-scale deployment of intelligent vehicles and the improvement of related safety standards.

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    Robust model prediction based clamping force control for electro-mechanical braking systems
    ZHANG Rongyu, ZHAO Xuan, WANG Shu, LI Meiying
    Journal of Automotive Safety and Energy    2025, 16 (6): 832-842.   doi:10.3969/j.issn.1674-8484.2025.06.002
    Abstract339)   HTML247)    PDF (2170KB)(142)      

    A robust model predictive control (RMPC) strategy based on an active disturbance rejection extend state observer (ESO) was proposed to improve the robustness and tracking accuracy of clamping force control in an electro-mechanical brake (EMB) system. Firstly, electrical disturbances, mechanical disturbances, and environmental disturbances inherent in the EMB system were analyzed, and a mathematical model incorporating a lumped disturbance term was established. Secondly, an EMB clamping force control strategy based on RMPC was formulated, introducing an active disturbance rejection ESO to estimate and compensate for disturbances. Finally, a hardware-in-the-loop (HIL) experimental platform was developed to validate the proposed method. The results show that the EMB clamping force controlled solely by MPC exhibits significant fluctuation under load disturbance, with a maximum error of 228 N and a maximum error rate of 5.7%; In contrast, the clamping force under the combined RMPC with ESO action shows a maximum steady-state tracking error of only 38 N, with a maximum error rate of 1.52%, indicating that the proposed control strategy effectively suppresses disturbance effects, which can achieve high clamping force tracking precision and strong anti-disturbance capability.

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    Trajectory generation algorithm for simulated vehicles based on trajectory prediction models
    WANG Zhenyu, YU Zhuoping, TIAN Wei, XIONG Lu, LI Zhuoren
    Journal of Automotive Safety and Energy    2025, 16 (2): 286-293.   doi:10.3969/j.issn.1674-8484.2025.02.012
    Abstract309)   HTML81)    PDF (1826KB)(2438)      

    To enhance the overall realism of background interactive vehicle trajectories in digital simulation scenarios for autonomous driving, this study approached the problem from both microscopic and macroscopic perspectives. Firstly, vehicle trajectory prediction models were trained on naturalistic driving data. Leveraging the characteristic that model-predicted trajectories more closely resembled real-world vehicle trajectories, the prediction served as the artificial intelligence (AI) driver model for background vehicles in simulation environments, improving the microscopic realism of simulated vehicle trajectory interactions. Building on this foundation, a measurement method for trajectory feature parameter statistical distribution differences and a corresponding optimization algorithm were designed, to re-select a single trajectory with the highest probability from multiple multi-modal prediction outputs, as the final driving trajectory for simulated vehicles, further enhancing the macroscopic realism of the generated trajectory feature parameter statistical distribution. The results show that, based on the proposed measurement metrics, the distribution difference between optimized simulated trajectories and real trajectories is reduced by 56.29% compared to pre-optimization, effectively enhancing the realism of background vehicle trajectories in simulation scenarios.

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    Simulation of intelligent vehicle trajectory tracking based on neural network adaptive MPC
    WANG Lin, CHEN Qinghua, YE Hongling, WANG Pengfei, XU Chi, QIAN Aiwen
    Journal of Automotive Safety and Energy    2025, 16 (4): 638-647.   doi:10.3969/j.issn.1674-8484.2025.04.014
    Abstract299)   HTML150)    PDF (1731KB)(194)      

    The weight matrix of traditional model predictive control (MPC) controllers usually relies on manual experience for parameter tuning, making it difficult to adapt to complex dynamic environments. Therefore, a method for adaptive adjustment of MPC weight matrices based on backpropagation (BP) neural networks was proposed. Firstly, the intelligent vehicle dynamics model with MPC control was established to analyze the influence of different weight coefficients on the vehicle trajectory tracking performance, secondly the data were constructed to train the BP neural network model, and the BP neural network adaptive MPC controller was constructed using the Matlab/Simulink module to jointly simulate with Carsim, and finally, a double-shift simulation condition was designed from different speeds and road adhesion coefficients to validate the robustness of the controller under different working conditions. The results show that the BP neural network-based adaptive MPC controller achieves favorable control performance across different speeds when the road surface adhesion coefficient is 0.85. At a speed of 65 km/h, the vehicle under the fixed-weight MPC control approaches destabilization, whereas the root-mean-squares (RMS) of the lateral displacement deviation and lateral angle deviation for the adaptive controller are reduced by 44.17% and 66.66%, respectively. The proposed controller also exhibits strong performance on road surfaces with varying adhesion coefficients—most notably on slippery roads with an adhesion coefficient of 0.35. When traveling at 30 km/h under such conditions, the RMS values of the two deviations are decreased by 27.49% and 49.54% compared to the fixed-weight MPC controller. This neural network-based approach for adaptive adjustment of MPC controller weights can provide valuable insights for enhancing trajectory tracking performance in medium-and high-speed cooperative control of intelligent connected vehicles, as well as in autonomous navigation systems for special operation vehicles.

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    Analysis of heat dissipation performance of liquid cooling plate based on multi-objective optimization
    QIU Shuaishuai, ZHANG Furen, SUN Shizheng, TAO Yuanbing, TAO Jiahui, TAN Haikun
    Journal of Automotive Safety and Energy    2024, 15 (6): 905-914.   doi:10.3969/j.issn.1674-8484.2024.06.012
    Abstract294)   HTML11)    PDF (2780KB)(53)      

    In order to improve the cooling performance of the cooling plate and solve the problem of high pressure loss, a composite X-channel liquid cooling plate structure was used to study the heat dissipation performance of lithium-ion battery. By considering the channel inclination angle, channel position, and inlet channel angle as design variables, the comprehensive cooling performance of the liquid-cooled plate was evaluated using an objective function that included average temperature, temperature standard deviation, and pressure drop. Subsequently, the optimal structural parameters of the liquid-cooled plate were determined. The heat production and temperature rise characteristics of the battery under different discharge multipliers were obtained through single-cell experiments. The thermal generation and temperature increase characteristics of the battery at various discharge rates were determined through experiments conducted on a single cell. Latin Hypercube Sampling (LHS) was employed to select 70 sample points within the design space. An approximate model, specifically Response Surface Approximation (RSA), was then utilized to establish the relationship between the design variables and the objective function. The RSA model was subsequently optimized using the Non-Dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ), and the validity of the optimization outcomes was confirmed via Computational Fluid Dynamics (CFD) simulations. The results show that the pumping power of the liquid cooling plate is effectively improved, the pressure drop is reduced by 37.865%, and the overall cooling performance is increased by 55.3% compared with the initial model.

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    Research on head-neck injury of far-side occupant in side pole impact of electric vehicle with dual front passengers
    LÜ Yuanpeng, WANG Fang, LONG Chunguang, WANG Danqi, ZOU Tiefang, LIU Yu
    Journal of Automotive Safety and Energy    2025, 16 (2): 207-216.   doi:10.3969/j.issn.1674-8484.2025.02.003
    Abstract287)   HTML538)    PDF (5970KB)(158)      

    To investigate the impact of occupant size differences and mutual interactions on the far-side occupant in side pole collisions involving electric vehicles, this study used a 5th percentile female as the near-side occupant and a 50th percentile male as the far-side occupant, and constructed various simulation scenarios by altering the collision angle and position. A linear fitting method was employed to numerically analyze the kinematic responses and head and neck injuries of the far-side occupant under different collision conditions. The results show that with the collision angle increasing, the lateral displacement of the far-side occupant increases, the restraining effect of the seatbelt weakens, and the occupant is more likely to collide with the near-side occupant or themselves. When the collision angle exceeds 45°, the HIC15 predicted AIS 3+ injury risk surpasses 50%. The Head Injury Criteria (HIP) values indicate that, in all cases, the head absorbs a significant amount of energy, suggesting a high risk of AIS 3+ traumatic brain injury for the far-side occupant. Neck anterior longitudinal ligament (ALL) injuries predominantly occur in high-angle collisions and are correlated with the collision angle. Additionally, the posterior longitudinal ligament (PLL), capsular ligament (CL), and interspinous ligament (ISL) show a significant risk of neck ligament injuries in almost all cases.

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    Protective effect of mechanical massage car seat on occupant injury in rear-end collision
    ZHU Huiting, MOU Yanyan, LAN Yang, XIANG Lei, YANG Jie, CHENG Zhihua, WANG Junliang, YANG Na
    Journal of Automotive Safety and Energy    2025, 16 (4): 539-547.   doi:10.3969/j.issn.1674-8484.2025.04.004
    Abstract284)   HTML118)    PDF (6921KB)(245)      

    To evaluate the potential injury risks of mechanical massage seats during vehicle rear-end collisions, this study employed the Hybrid III 50th percentile male dummy model to conduct comparative crash simulations between conventional automotive seats and mechanical mas-sage seats, with particular focus on analyzing occupant injuries to the head, neck, chest, and lumbar spine. The results showed that when using the 3ms resultant acceleration as the chest injury criterion, the values for mechanical massage seats and conventional seats are 26.6 g and 27.7 g, respectively, both meeting requirements; for the normalized neck injury criterion (Nij), conventional seat occupants exceedes the threshold of 1, indicating significant injury risk, while mechanical massage seat occupants demonstrates excellent performance across all neck injury metrics with an Nij value of 0.51, providing better protection; mechanical massage seats show greater advantages in reducing head injury risk, with lower HIC values for occupants; regarding lumbar injuries, the maximum force on conventional seat occupants is 1 670 N compared to 1 800 N for mechanical massage seat occupants, with the maximum LIC values being 4.32 and 3.67, respectively, both meeting safety standards and ensuring passenger safety. This research verifies the safety and reliability of mechanical massage seats in rear-end collisions, providing important reference value for future development and widespread application of mechanical massage seats.

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    Effect of vehicle crash severity and advanced restraint system parameters on occupant injuries
    DENG Gongxun, CAI Yani, LEI Feibing, LIU Hengjin, QI Lulin, FAN Yubo
    Journal of Automotive Safety and Energy    2025, 16 (5): 698-706.   doi:10.3969/j.issn.1674-8484.2025.05.004
    Abstract283)   HTML140)    PDF (2668KB)(380)      

    Aiming at the matching problem of advanced restraint system in vehicle crashes, the distribution frequencies of vehicle Occupant Load Criterion (OLC) and the advanced restraint system parameters during the frontal rigid barrier collisions conducted over the recent three-year of a company were statistically analyzed. A Finite Element (FE) for crash simulation matrix was established. The Kruskal-Wallis non-parametric test and the Spearman correlation analysis methods were used to investigate the vehicle OLC effect and the restraint system parameters on occupant injuries. The results show that the increased OLC significantly increases the occupant injuries severities (the correlation coefficient ρ=0.66, the significance p value<0.01) while the airbag vent size and the retractor TTF (time to fire) cannot significantly affect occupant injuries. The increased seatbelt first-level load limiter mitigates head injury but increases chest compression. Using the Pyrotechnic Lap Pretension (PLP) to pretension lap belt and the Crash Locking Tongue (CLT) to cut off the transfer of seatbelt forces can slightly decrease the chest compression. Moreover, the occupant hip restraint is enhanced and the movements of hip and legs are reduced, which alleviate the vehicle interior-leg impact severity and significantly reduce the lower limbs injury risks.

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    Parameter optimization of the sill beam section of an electric vehicle under side pole collision condition
    RONG Hai, JIANG Jianzhong, YAO Zaiqi, MA Kai
    Journal of Automotive Safety and Energy    2024, 15 (6): 813-820.   doi:10.3969/j.issn.1674-8484.2024.06.002
    Abstract283)   HTML56)    PDF (2616KB)(345)      

    The peak section force (Fmax) of battery modules of an electric vehicle exceeded the safety range under side pole collision condition. The parameter optimization of the sill beam section was carried out to improve battery collision safety and achieve weight reduction of the vehicle body. 26 thicknesses or position parameters were selected as optimization variables to reduce Fmax and the mass of sill beam. The maximum compression deformation(dmax) and plastic strain(εpmax)of battery modules were chosen as constrains. Firstly, the optimal Latin hypercube method was employed to generate samples. A fully connected neural network was established as approximation model based on samples, and the non-dominated sorting genetic algorithms-Ⅱ(NSGA-Ⅱ) was employed for multi-objective optimization. Finally, optimization results were verified through simulation. The results show that the Fmax of battery modules is decreased from 21.8 kN to less than 20 kN, indicating safety requirement is eventually satisfied. Meanwhile, the mass of sill beam is reduced by 1.41%~4.02%, which means lightweight design is also achieved. Further analysis shows that dmax and εpmax of battery modules are also reduced synchronously in some solutions, which improves battery collision safety comprehensively in the meantime of weight reduction.

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