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  • 2023, Vol. 14 No. 6 Published on:31 December 2023 Previous issue    Next issue
    Review, Progress and Prospects
    Reshaping of automotive industry pattern under the wave of electrification and intelligence
    XU Yingbo, LI Jingtao, GAO Feixiang, WU Pingyue, LI Zheng
    2023, 14(6):  651-663.  doi:10.3969/j.issn.1674-8484.2023.06.001
    Abstract ( 191 )   HTML ( 28)   PDF (1577KB) ( 116 )  

    The global automotive industry is experiencing a wave of electrification and intelligence. The automotive product definition and industrial pattern are being reshaped. China’s new energy vehicle sales reached 8.3 million units from January to November 2023, a year-on-year increase of 37%, and the penetration rate of new energy vehicles reached 31%. Tesla leads the technological transformation and evolution trend of the global automotive industry. In 2022, Tesla sold 1.31 million vehicles, which is still far behind Toyota (about 10.48 million vehicles) and other manufacturers. However, its market value has exceeded US$700 billion, ranking first among global automakers, reflecting investors' optimism about its long-term development. Reviewing Tesla's development history, the author concludes that its success is mainly based on three reasons: self-developed full-stack technology; defining products based on first principle; and continuous cost reduction driving sales growth. New entrants and technology companies are actively following up, and traditional companies are accelerating their transformation. In 2022, local brands already accounted for 80% of China's new energy vehicle market. In the future, the penetration rate of new energy vehicles in China and the world will continue to increase. Under the wave of electrification and intelligence, the pattern of the automotive industry will continue to change. Companies with full-stack self-developed capabilities, product definition and reconstruction capabilities, and industry chain coordination capabilities are expected to gain higher market share.

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    Automotive Safety
    Characteristics and typical scenario analysis of electric two-wheeler accidents at intersections with visual obstacle
    HAN Yong, MENG Xin, PAN Di, WU He, SHI Jinming, ZHANG Yuecong
    2023, 14(6):  664-670.  doi:10.3969/j.issn.1674-8484.2023.06.002
    Abstract ( 154 )   HTML ( 17)   PDF (1753KB) ( 132 )  

    The visual obstacle is the main cause of collisions between cars and electric two-wheelers at intersections. In order to clarify the accident characteristics and facilitate the development of autonomous emergency braking (AEB) test scenarios for electric two-wheelers suitable for Chinese roads, this paper statistically analyzed the traffic violations, obstacle types and accident scenarios of 510 cases of car-to-electric two-wheel vehicle collisions with visual impairments in the Road Vulnerable Group Traffic Accidents (VRU-TRAVi) database. The relationship between the speed and time to collision (TTC) in the different collision scenarios was investigated and analyzed, the impact of obstacles on accident avoidance were also calculated with frame-by-frame analysis and direct linear theory. And the accident characteristics and scenario statistics were compared with the results of previous studies. The results show that four typical collision scenarios in the car-to-electric two-wheel vehicle with visual obstacles are extracted: fixed obstacle scenarios, adjacent lane of the vehicle in the reverse direction of travel or the same direction waiting for the vehicle as an obstacle scenarios, and non-adjacent lane moving obstacle scenarios. The average of TTC in the four scenarios are 1.12, 1.02, 0.96, and 1.27 s. The car speeds are 24-47, 27-46, 27-46, and 18-45 km/h; the electric two-wheeled vehicle speeds are15-27, 15-24, 15-24, and 16-24 km/h. The research results can provide reference for the key technology of pre-collision accident scene test of electric two-wheelers with visual impairment.

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    Pedestrian lower limb dynamic response and injury biomechanical analysis based on pedestrian-vehicle collision accident reconstruction
    ZHANG Daowen, LEI Yi, REN Yao, TANG Kaiwen, DONG Xinchi, LUO Jing, HU Wenhao
    2023, 14(6):  671-680.  doi:10.3969/j.issn.1674-8484.2023.06.003
    Abstract ( 207 )   HTML ( 12)   PDF (3429KB) ( 137 )  

    Based on real traffic accident cases in the national vehicle accident depth investigation system, a human-vehicle collision finite element model was established and verified to investigate the lower limb kinematic response and biomechanical injury characteristics of pedestrians in human-vehicle collisions. Three postures of pedestrians standing, walking and running, were simulated with THUMS dummy, and three collision positions were selected according to the transverse structure characteristics of the front of the vehicle, and the kinematic response and biomechanical injury of pedestrian lower limbs at the collision position were analyzed. The results show that the lateral structure of the front of the vehicle has a great influence on the motion response and injury of the left and right legs of pedestrians at a collision initial velocity of 40 km/h; the high-risk areas of the pedestrian femur are the femoral head and femoral shaft, with a maximum value of 124.9 MPa, while the high-risk area of the tibia is the tibial shaft, with a maximum value of 157.2 MPa; the maximum transverse bending angle and the maximum shear displacement of the left knee joint reaches 37.1° and 12.5 mm, respectively, and its injury risk is higher than that of the right knee joint; in the headlight collision area, the pedestrian's lower limb sufferes a lower injury than that of the other collision areas.

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    Structural optimization and simulation verification of the special vehicles shielding box based on electromagnetic shielding
    CHEN Yizhe, YU Chengjie, YANG Yusen, HUO Jiachen, WANG Hui
    2023, 14(6):  681-687.  doi:10.3969/j.issn.1674-8484.2023.06.004
    Abstract ( 112 )   HTML ( 8)   PDF (2138KB) ( 30 )  

    In order to meet the requirements of lightweight design and safety for specialized vehicles, and reduce electromagnetic interference, the study focused on the electromagnetic shielding box made of carbon fiber composite material for specialized vehicles. Simulation experiments on the design scheme of specialized vehicles were conducted using Ansys Electronics Desktop software. The influence of the thickness of the shielding box and the shape of the hole on the electromagnetic shielding performance was investigated, and lightweight design optimization was performed. The results show that the thickness of the box is positively correlated with the shielding efficiency under the electromagnetic interference of low frequency band and high frequency band. Under the same hole area, the shielding efficiency is better when the opening shape of the box is round, and the above factors have no obvious influence in the resonant frequency band. After lightweight design optimization, the shielding box structure of the vehicle achieves a shielding effectiveness of 46.3 dB and 32.2 dB in the low-frequency and high-frequency ranges, respectively, which meets the requirements of specialized vehicles for electro-magnetic shielding performance.

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    Biomechanical analysis of occupant damage in different sitting positions in the rear seat in a frontal collision
    WU Hequan, ZHOU Huilai, LI Yihui, HU Lin
    2023, 14(6):  688-697.  doi:10.3969/j.issn.1674-8484.2023.06.005
    Abstract ( 142 )   HTML ( 3)   PDF (5019KB) ( 735 )  

    In order to study the biomechanical characteristics of frontal collision injury of rear occupant in different sitting positions, the finite element simulation analysis method was used to analyze the biomechanics of THUMS AM50 occupant in the 50 km/h frontal collision under the normal sitting position, 15° left leaning and 15° right leaning. Aiming at the 15° left leaning sitting position, the collision protection strategy was studied by using the 3+2 point seat belt and the rear forward airbag. The results show that the most serious injury is caused by sitting posture of 15° left tilt, so the use of the 3+2 point seat belt can effectively reduce the head injury of passengers, and the use of rear forward airbag can greatly protect the head and chest of passengers. The strategy of using rear forward airbag has a good protection effect on the passengers who are leaning to the left and right. In the future, it is necessary to strengthen the research on the protection of rear passenger, so as to adapt to different collision conditions and complex and changeable occupant sitting posture.

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    Structure design and optimization of a disc-drum hybrid magnetorheological device for pedal force control
    QU Xian, ZHANG Jinlong, QU Lihong
    2023, 14(6):  698-706.  doi:10.3969/j.issn.1674-8484.2023.06.006
    Abstract ( 92 )   HTML ( 5)   PDF (2017KB) ( 155 )  

    In order to solve the adverse effects of pedal feeling on regenerative braking of electric vehicles, a magnetorheological device (MRD) for pedal force control was designed with characteristics of root-embedding of the brake pedal. Based on the embedded installation requirements, a disk-drum hybrid structure was designed for the MRD. The magnetic circuit of the MRD was optimized by the finite element method. Finally, the performances of the MRD prototype were tested and analyzed. Results show that the designed MRD has a compact structure, which can implement embedded installation effectively. The output torque of the MRD is over 0.2-32 Nm, indicating its wide adjustable torque range. This wide range meets the needs of pedal force regulation. At the same time, the output torque is less affected by the speed. Thus, it can be accurately adjusted by the current control, which makes the MRD easy to control the pedal force adjustment.

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    Intelligent Driving and Intelligent Transportation
    Recognition of front vehicle behavior based on visual information from vehicle perspective
    LIU Yanwei, HUANG Zhiming, GAO Bolin, ZHONG Wei, CHEN Jiaxing, LIU Jiaxi
    2023, 14(6):  707-714.  doi:10.3969/j.issn.1674-8484.2023.06.007
    Abstract ( 129 )   HTML ( 12)   PDF (1161KB) ( 641 )  

    Unlike traditional vehicle behavior recognition methods, which are mostly based on historical track information from a bird's eye view, this paper proposed a new approach for autonomous vehicle behavior recognition based on visual information. A vehicle behavior labeling method based on vehicle-mounted video information was proposed, and a behavior recognition data set was constructed from vehicle-mounted perspective. A vehicle behavior recognition algorithm based on SlowFast network was designed; A Focal Loss function was designed; And a Non-local operation module was introduced. The results show that compared with the original SlowFast model, the overall accuracy of the new model is improved by 20.56%, and the behavior recognition of multiple vehicles in front of the video is realized.

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    Prediction of future driving conditions for electrical vehicles based on Baidu maps API
    HUANG Xinchao, ZHANG Yi
    2023, 14(6):  715-722.  doi:10.3969/j.issn.1674-8484.2023.06.008
    Abstract ( 133 )   HTML ( 9)   PDF (4195KB) ( 152 )  

    The road traffic flow data obtained from the Baidu Map Application Programming Interface (API) was used to predict the future driving energy-consumption of pure electric vehicles, and a vehicle on-road experimental verification was conducted on the in-loop platform of the cloud computing system. Used the road traffic data obtained by Baidu to calculate the remaining mileage, the path planning, the energy-management strategies, and the charging pile layout, etc. These data were combined with vehicle-driving data and used as a training data set. The future energy-consumption was predicted with the k-means cluster analysis algorithm and the support vector machine (SVM) classifcation algorithm. The predicted value of the remaining battery state of charge (SOC) was compared with the actual value obtained from the vehicle on-road experiments. The results show that the error of future driving energy-consumption prediction are limited to inset of one-standard-deviation σ for a 40 min driving condition (about 20 km), based on Baidu Map API traffic flow data. Therefore, the accuracy of the proposed prediction algorithm in this paper is verified.

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    Backstepping formation control for smart traffic cones based on differential homogeneous transformation
    ZHANG Jiale, JIAO Shengjie, WANG Yuelin, YI Xiaogang
    2023, 14(6):  723-733.  doi:10.3969/j.issn.1674-8484.2023.06.009
    Abstract ( 110 )   HTML ( 5)   PDF (3299KB) ( 1636 )  

    A novel backstepping formation control method was proposed based on differential homogeneous transformation to place and recover the smart traffic cones. Based on formation placement and recovery conditions, the method applied the backstepping technique to the dynamic error equation. And the control input was designed by constructing the Lyapunov function. The control input limitation was done by combining the differential homogeneous transformation with the backstepping method. The simulation and experimental validation were conducted by utilizing the MATLAB and the Robot Operating System (ROS) platform. The results show that the linear velocity of the control method is -0.5~0.5 m/s, and the angular velocity is -0.5~0.5 rad/s; and the formation distance errors all converge to less than 10 cm. the linear and angular velocities of the smart cone are more effectively controlled, so as to make them more stable in the prescribed ranges and change more gently compared with the traditional backstepping formation control method. Therefore, this formation control of the smart cones is realized under the oblique placement and recovery conditions because of the guarantee of boundedness of the linear velocities and angular velocities.

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    Fuzzy sliding mode security control of autonomous unmanned vehicle actuator attacks
    SUN Hongtao, WANG Chen, ZHAO Qingtang, WANG Zhiwen
    2023, 14(6):  734-743.  doi:10.3969/j.issn.1674-8484.2023.06.010
    Abstract ( 96 )   HTML ( 10)   PDF (2344KB) ( 185 )  

    A robust safety control design method based on fuzzy sliding mode variable structure was proposed to solve the path following control problem of autonomous unmanned vehicle (AUV) with actuator attacks. A state-space-based path following control model was established to characterize the dynamic behaviors of AUV. Using the invariance of sliding mode to the actuator attack signal, an integral sliding mode safety control strategy was designed, by selecting appropriate Lyapunov function candidate, the stability of AUV path following control and the gain of front wheel angle control under actuator attacks were derived. The adaptively adjustable switching term gain was designed by combining fuzzy control rules, MATLAB/Simulink and CarSim co-simulation platform were used to verify the effectiveness of the proposed control strategy. The results show that the maximum error of path following is reduced by 5.6% and 6.2%, the steering wheel angle is reduced by 73.9% and 75.4%, and the side slip is reduced by 249.9% and 213.9%, respectively comparing with the case that the vehicle speed is 72 km/h under single and double line-shifting conditions. This control strategy can increase the robustness of AUV path following process and ensure good path following performance.

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    Automotive Energy Efficiency and Environment Protection
    Life cycle analysis of greenhouse gas emissions from passenger cars based on energy and materials in China
    FU Yang, WANG Buyu, SHUAI Shijin
    2023, 14(6):  744-754.  doi:10.3969/j.issn.1674-8484.2023.06.011
    Abstract ( 121 )   HTML ( 10)   PDF (1565KB) ( 180 )  

    Obtaining life cycle greenhouse gas (GHG) emissions data are the basis for the study of vehicle energy conservation and emissions reduction technology pathway. Based on the China's data of energy systems and materials in 2019, this paper systematically analyzed the GHG emissions results of eight kinds of vehicles with four power systems, including internal combustion engine with different fuels, lithium battery, fuel cell and hybrid system with different fuels, in the whole processes of passenger car production, driving, recycling and regeneration. Moreover, the future results under different energy scenarios were predicted by considering the variation of the power generation mixes, hydrogen production mixes, and methanol production mixes, the efficiency improvement of power systems, and the carbon reduction of the advancing crude oil extraction and refining process in China. The results show that the GHG emissions of methanol vehicle, methanol hybrid vehicle, gasoline vehicle, hydrogen fuel cell vehicle, gasoline hybrid vehicle, blue methanol vehicle, pure electric vehicle and blue methanol hybrid vehicle in 2019 are 384.7, 283.4, 226.6, 180.9, 171.1, 158.7, 139.4 and 123.5 g/km respectively. For the future energy scenarios, the GHG emissions of eight kinds of vehicles will be significantly reduced, and the GHG emissions of blue methanol hybrid vehicles, pure electric vehicles, and hydrogen fuel cell vehicles are comparable in 2060, which are lower than the other vehicles.

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    Double-modified polyacrylic acid gel electrolytes for long-life neutral zinc-air batteries
    SHANG Nuo, WANG Keliang, PEI Pucheng, ZHANG Pengfei, ZUO Yayu, WEI Manhui, WANG Hengwei, CHEN Zhuo, ZHONG Daiyuan
    2023, 14(6):  755-761.  doi:10.3969/j.issn.1674-8484.2023.06.012
    Abstract ( 101 )   HTML ( 16)   PDF (1766KB) ( 199 )  

    Neutral gel electrolytes and additives were investigated to address the corrosion and safety risks of conventional zinc-air batteries with strong alkaline electrolytes on small power components of automobiles, while improving the performance and lifetime of zinc-air batteries. The neutral polyacrylic acid (PAA) gel was modified with different amounts of NaCl and nano-silica as additives, and the electrochemical and water retention tests were compared with the pure neutral polyacrylic acid gel group, and the gels of each group were put into zinc-air batteries for charge-discharge cycle tests under different working conditions. The results show that the water retention and ionic conductivity of the double-modified polyacrylic acid gel are improved, and the flexible zinc-air batteries based on them operates smoothly with a discharge life of 82 h at 0.2 mA/cm2.The working life was extended by 30 hours in the small current charge-discharge test at a rate of 2 mA/cm2, as compared to the control group.

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    Total ownership cost analysis of hydrogen-fuel-cell heavy-trucks in China
    WANG Minghua, WANG Wen, CHEN Zeyu, LIU Jianzhe, OU Xunmin, REN Lei
    2023, 14(6):  762-773.  doi:10.3969/j.issn.1674-8484.2023.06.013
    Abstract ( 182 )   HTML ( 8)   PDF (1848KB) ( 69 )  

    A quantitative analysis model was established for the total cost of ownership measurement of hydrogen-fuel-cell heavy-trucks in the Chinese context based on the cost modeling of the Chinese hydrogen supply chain. The investigate object was selected as that the fossil energy-based hydrogen, the wind power / photovoltaic hydrogen production, the industrial by-production of hydrogen, the nuclear energy-based hydrogen and the other production technologies, from the hydrogen energy supply chain to the heavy-duty truck operation of the whole process of production, storage, transportation, refueling and vehicle use of each link; and included with 2 types of hydrogen transportation technologies (with tube-trailers and with pipelines). The results show that the current total cost of ownership is ranges from 2.00~3.57 million yuan (RMB), which is 38.4% to 74.3% higher than that of diesel heavy-duty trucks, for 3 types of hydrogen fuel cell heavy-duty trucks, namely the intra-city transportation -trailers, the inter-city transportation-trailers, and the mine/port freight transportation-dump trucks; The hydrogen fuel cell heavy-duty trucks have a relatively superior economic cost performance in scenarios of mine/port freight transportation, with having a preferred promotion potential; The hydrogen fuel cell heavy-duty trucks will need to reach parity with diesel heavy-duty trucks, i.e., close to the total cost of ownership of similar models, after 2027—2028, without considering government subsidies, in the scenarios of inter-city freight transportation, mine/port freight transportation; China's hydrogen fuel cell heavy-duty trucks are expected to reach parity with conventional vehicles earlier than 2025, under the above scenarios, based on the existing government subsidy policies.

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    Simulation research on drag reduction performance of van truck based on coupled channel
    XU Jianmin, GONG Xiaoyan, ZHENG Qingjie, SONG Lei
    2023, 14(6):  774-782.  doi:10.3969/j.issn.1674-8484.2023.06.014
    Abstract ( 102 )   HTML ( 5)   PDF (4141KB) ( 71 )  

    A channel-type drag reduction method that connects the side and rear of van trucks was proposed to reduce the aerodynamic resistance of van trucks and avoid excessive changes in the shape and size of existing vehicles. The influence of basic parameters of connected channel such as shape, position, size of inlet and outlet and bending shape inside channel on drag reduction effect of van truck was explored by using computational fluid dynamics method, and finally an optimal drag reduction model of connected channel was obtained. The shape of the inlet and outlet of the channel model was quadrilateral and located 36 mm from the tail of the side air inlet and 39 mm from the side of the tail air outlet, while the inlet and outlet had the same size. The shape inside the channel was linear and the aerodynamic drag coefficient of the model was 0.494 2. The effect of the new drag reduction method in the side wind environment was further investigated. The results show that, compared with the original model, the aerodynamic drag coefficient reduction rate of the proposed tunnel model is 2.62% without crosswind, and the average aerodynamic drag coefficient reduction rate is 3.47% with crosswind. The channel type drag reduction can reduce the aerodynamic drag of the vehicle by introducing the airflow from the side to the rear of the vehicle and improving the vortex state of the rear to achieve the purpose of reducing the aerodynamic drag of the vehicle when driving. This new coupled channel drag reduction method provides a new drag reduction method for future research on aerodynamic drag reduction of van trucks.

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    Optimization of diesel injection strategy for ammonia-diesel dual-fuel engines with high compression ratio
    CAI Kaiyuan, WANG Zhi, LIU Yi, CHEN Qingchu, QI Yunliang, LIN Hao, LU Wenjian, ZHANG Shenhuan, YIN Yong
    2023, 14(6):  783-789.  doi:10.3969/j.issn.1674-8484.2023.06.015
    Abstract ( 115 )   HTML ( 4)   PDF (1405KB) ( 114 )  

    The effects of diesel injection strategy on combustion and emission performance were investigated to improve the ammonia combustion efficiency and thermal efficiency of ammonia-diesel engines. The control method of ammonia intake-port injection and diesel split direct injection was used on a 6-cylinder ammonia-diesel engine with a compression ratio to 21. Diesel first injection was used to activate the thermal atmosphere while the second injection was used to control the combustion phase. The results show that advancing the first injection timing of diesel reduces the nitrogen oxide (NOx) emissions of ammonia-diesel mode by 30%. Increasing the first injection mass improves the ammonia combustion efficiency and reduces the emissions of nitrous oxide (N2O) and carbon monoxide (CO) by 85% and 50%, respectively. The effective thermal efficiency first increases and then decreases with the increase of the first injection mass. By optimizing the diesel injection strategy, the maximum effective thermal efficiency of ammonia-diesel mode can be 1.2% higher than that of diesel-only mode under the same compression ratio. Therefore, the diesel direct injection strategy optimized is expected to save energy and reduce the carbon emissions of heavy-duty vehicles.

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