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  • 2023, Vol. 14 No. 5 Published on:31 October 2023 Previous issue    Next issue
    Review, Progress and Prospects
    Review on methanol as fuel for engines and its future prospect
    YAO Chunde, YAO Anren
    2023, 14(5):  521-535.  doi:10.3969/j.issn.1674-8484.2023.05.001
    Abstract ( 536 )   HTML ( 46)   PDF (4727KB) ( 510 )  

    Methanol is liquid under ambient temperature and atmosphere, of which is close to gasoline and diesel fuel. It can be produced out by a wide-ranging raw material, such as coal, natural gas, biomass and by carbon dioxide synthetized with hydrogen called the green methanol. The green methanol has been recognized as the fuel with low carbon emission even carbon neutrality, which has been used as marine fuel more and more widely. China is the country with largest productive capacity and production for methanol in global, of which it occupies 60% of global productive capacity and production. China took methanol as fuel to substitute for petroleum oil for many years since 40 years ago. Methanol now has been used as fuel for versatile utility, such as cooking, heat generation for civil and industrial use, furthermore for transportation and constructive machine. The review introduces the methanol production, cognition for methanol toxicity, development of green methanol and practices of methanol in industrial and civil, emphasizes the technical characteristics for utilities in vehicle, marine, locomotive and generation set, and points out the challenges methanol facing with while development as well as its prospect of future development in those fields.

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    Automotive Safety
    Prediction of pedestrian head injury in vehicle-pedestrian collisions based on a CART decision tree
    HAN Yong, LUO Jinrong, HE Yong, WU He, LIN Xujie, CAI Hongyu
    2023, 14(5):  536-543.  doi:10.3969/j.issn.1674-8484.2023.05.002
    Abstract ( 173 )   HTML ( 10)   PDF (1176KB) ( 208 )  

    A prediction model based on a multi-rigid-body system dynamics simulation method and a Classification and Regression Tree (CART) were established to rapidly predict the risk of head injury in vehicle to pedestrian collision. A multi-body model of the vehicle front structure with refined stiffness characteristics was developed with reference to the European New Car Assessment Program (Euro-NCAP). About 4 500 sets of multi-body simulations were established by the full factor design test method with the pedestrian model, initial vehicle speed and pedestrian speed, pedestrian-vehicle collision position, and relative angle as simulation variables, and the CART model was used to explore the correlation between the variables and the kinetic response parameters. The results show that the initial vehicle speed is a key factor affecting the dynamic response of the pedestrian head. The prediction accuracy of the model for the collision speed and the value of the head injury criterion (HIC15) is 87.5% and 86.8%, respectively, and the average prediction time is 42.7 ms, which have high prediction accuracy and decision-making ability. The results can provide a theoretical reference basis for developing pedestrian head injury risk assessment experiments and injury protection research.

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    Characteristics on the active response of driver's hand on the human injury in vehicle crashes
    YANG Xin, QIN Haoyi, MA Shuai, SONG Jiafeng, ZHU Yong, WANG Ruixiang, XU Shucai
    2023, 14(5):  544-554.  doi:10.3969/j.issn.1674-8484.2023.05.003
    Abstract ( 123 )   HTML ( 7)   PDF (3352KB) ( 240 )  

    The active response of the driver's hand on the steering wheel in a vehicle crash environment and the effect on human injury were investigated to provide reference data for the improvement of human injury standards and the design of vehicle safety protection. The hand structure of the dummy was reconstructed so that the hand had the ability to grasp. Using the joint constraint moment to simulate the gripping force, researchers set up the simulation model of the hand with gripping force and different positions of the steering wheel, and calculated the damage values of each part of the dummy, and compared them with the damage of the standard dummy. The results show that in the gripping condition, the peak value of head injury criterion (HIC) increases by 37.5%, the maximum value of neck extension moment decreases by 22.3%, the maximum value of chest compression decreases by 3%, and the peak value of thigh compression force decreases by 36.5%. Dividing the steering wheel into positional azimuths of the dial, the peak head HIC is greatest when the hand position is in the 11 o'clock and 4 o'clock azimuth, and the peak chest compression and thigh compression forces are greatest when the hand position is in the 8 o'clock and 4 o'clock azimuth. The active response of the driver's hand in a collision is a major influence on human damage.

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    Boundary-condition characteristics-analysis of the pedestrian thorax-vehicle contacts considering accident scenarios
    GAO Wenbo, LV Xiaojiang, XIAO Zhi, MO Fuhao, LI Guibing
    2023, 14(5):  555-562.  doi:10.3969/j.issn.1674-8484.2023.05.004
    Abstract ( 99 )   HTML ( 4)   PDF (1462KB) ( 195 )  

    The boundary conditions characteristics were investigated for pedestrian thorax-vehicle contacts. A multi-body vehicle-to-pedestrian impact simulation matrix was defined according to the distributions of road traffic accident scenarios in China. Statistical analysis was performed on the simulation results. The results show that the thorax Wrap Around Distance (WAD) are 0.957~1.808 m for adult pedestrians with being 0.760~0.910 m for 6-year-old children pedestrians. In sedan, Sports Utility Vehicle (SUV) and Multi-Purpose Vehicles (MPV) impacts, for the adult pedestrians, the thorax median contact angles are 17°, 34°, 32°, and the velocity of 12.5, 19.8, 17.3 km/h respectively; the 6-year-old children has the thorax angles of 49°, 90°, 81° and the thorax contact speeds of 20.5, 38.4, 25.4 km/h respectively. The pedestrian thorax WAD in the sedan impacts is higher than that of the SUV and MPV cases, while the thorax-vehicle contact speed and contact angle are significantly lower than the SUV and MPV cases. Therefore, the authors suggest to set the thorax protection assessments for both adult pedestrian and child pedestrian according to the WAD range; and the launch boundary conditions of the thorax impactor should be reasonably set according to the vehicle model.

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    Analysis of the accidents and injury characteristics of motorcyclists in motorized 2-wheelers and pillion passengers
    LIU Zhuzi, LIU Yangyang, ZOU Tiefang, CAO Taishan
    2023, 14(5):  563-569.  doi:10.3969/j.issn.1674-8484.2023.05.005
    Abstract ( 131 )   HTML ( 5)   PDF (1345KB) ( 166 )  

    The accident characteristics of manned motorized two-wheelers (including motorcycles and electric bicycles) were investigated. 170 manned motorized two-wheeler accidents with video were analyzed, the general accident characteristics were counted, and the system clustering method was used to extract typical accident scenarios and explore the human injury characteristics in different scenarios. The results shown that manned motorized two-wheeler mainly occur at intersections with dry roads and lighting, with vehicle speed mostly concentrated between 10~50 km/h and motorcycle speed 10~40 km/h; 8 typical scenarios extracted by clustering cover 78.9% of the total sample, and significant differences between human head and chest injuries (>78%); and overall, the rider injury is heavier than the occupant injury. The occupant chest injury is more serious than that of the cyclist when the car speed is going straight at 50 km/h with the motorcycle going straight at 20~40 km/h. These results would reveal better prior knowledge of motorized 2-wheelers accidents.

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    Adaptive hydraulic drive optimization control of concrete tanker based on elastic FA
    XU Shanshan, ZHAO Na
    2023, 14(5):  570-579.  doi:10.3969/j.issn.1674-8484.2023.05.006
    Abstract ( 90 )   HTML ( 5)   PDF (1805KB) ( 29 )  

    The non-axisymmetric problem caused by fluid shaking in the tank of a concrete tanker during driving is affected by the excitation of the vehicle on the complex road surface, which makes the fluid shaking coupled with the body dynamics. The traditional hydraulic drive proportion-integration-differentiation (PID) control method is ineffective in dealing with such problems, which can easily lead to accidents such as overturning. In order to improve the accuracy and stability of the hydraulic drive control system, a firefly optimized particle filter PID adaptive control method based on the elastic firefly algorithm(FA) was proposed to accelerate the convergence speed of the optimization of the control parameters and to analyze its hydraulic drive control characteristics and structural applications. The results show that the proposed adaptive control method can significantly reduce the average speed error of hydraulic drive control to 0.06 km/h and the maximum speed error to 0.29 km/h in comparation with the traditional PID control, and also improve the control tracking performance and stability, which has an important reference value for the practical application of the optimization of the hydraulic drive control of concrete tanker.

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    Intelligent Driving and Intelligent Transportation
    High real-time predictive control for active collision avoidance of intelligent vehicles
    DUAN Jingliang, CHEN Liangfa, WANG Wenxuan, JIAO Chunxuan, LIU Zhengyu, MA Fei, LI Shengbo
    2023, 14(5):  580-590.  doi:10.3969/j.issn.1674-8484.2023.05.007
    Abstract ( 146 )   HTML ( 12)   PDF (3744KB) ( 240 )  

    A recurrent model predictive control (RMPC) algorithm was adopted to meet the high real-time requirements for active collision avoidance control in complex traffic scenarios. RMPC transformed the online optimization problem into an offline solution of recurrent policy parameters, and simulation experiments were conducted to validate its effectiveness. By introducing a penalty function, the constrained active collision avoidance optimization control problem was formulated as an unconstrained finite-time optimal control problem. The optimal solution of the control problem with different prediction steps was represented by a recurrent neural network. The learned policy to the prototype controller was deployed and its collision avoidance performance and online computational efficiency was verified by using CarSim. The results shows that the minimum vehicle distance during the collision process increases from 0.34 m to 1.38 m with the prediction step increasing from 12 to 20, and the number of collisions in a thousand experiments decreases from 44 to 0. Furthermore, the algorithm demonstrates a computational efficiency improvement of over 5.6 times compared to commonly used online optimization solvers when the prediction step is 15.

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    Cloud-based control for hierarchical vehicle platoon predictive cruise control
    WANG Zhou, CHU Duanfeng, GAO Bolin, MEI Run, ZHONG Wei
    2023, 14(5):  591-599.  doi:10.3969/j.issn.1674-8484.2023.05.008
    Abstract ( 105 )   HTML ( 5)   PDF (2059KB) ( 157 )  

    A cloud-based platoon predictive cruise control method (CPPCC) was proposed for highway scenarios to improve the economy of platoon driving and simulation experiments with real road and vehicle data models were conducted. The method employed a hierarchical structure, with the upper layer being the cloud-based platoon speed planning layer and the lower layer being the platoon stabilization control layer. The speed planning layer in the cloud considered the receding dynamic planning (RDP) algorithm of the road slope to achieve the economic goal of platoon driving. The lower vehicle-side platoon stability control layer was equipped with a distributed model predictive controller (DMPC) to track the speed send from the cloud, while considering the platoon stability control. The results show that the proposed method saves 6.04% of energy with 0.24% improvement in the overall operating efficiency compared to the predecessor-leader following’s cruise control platoon (PLF-CC) method.

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    Commercial vehicle APU control strategy based on neural network identification and Markov chain prediction
    WANG Junqi, LI Yongtao, ZHENG Weiguang, ZHANG Yanhui, CHEN Ziyou, XU Enyong, Li Yufang, WANG Shanchao
    2023, 14(5):  600-608.  doi:10.3969/j.issn.1674-8484.2023.05.009
    Abstract ( 102 )   HTML ( 6)   PDF (1355KB) ( 172 )  

    A control strategy was proposed for an electronically-controlled air-processing-unit (APU) based on electromagnetic valve control, with some Simulink system simulation experiment being conducted to improve the fuel economy of commercial-vehicle air-treatment systems. The strategy had three working modes: the basic, the low-pressure, and the high-pressure, based on the identification and prediction methods of engine operating-condition. A vehicle model and an air treatment system model were built by using the Matlab/Simulink. A neural-network pattern recognition and a Markov-chain prediction control model were constructed to identify and classify the engine operating-conditions and predict the required torque percentage. The results show that the electronically controlled APU with this control strategy reduces the power consumption by 480 Wh compared to the mechanically controlled APU under the same initial pressure conditions of air tank in the China World Transient Vehicle Cycle (C-WTVC), with a reduction rate of 34.7%. These results improve fuel economy significantly.

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    Collaborative decision-making method of high-speed multi-vehicle multi-driving behavior confliction
    ZHANG Xinfeng, WU Lin, LI Zhiyuan, LIU Huan
    2023, 14(5):  609-617.  doi:10.3969/j.issn.1674-8484.2023.05.010
    Abstract ( 121 )   HTML ( 8)   PDF (1594KB) ( 408 )  

    A collaborative decision-making method of driving behavior conflict was proposed based on the optimal matching of dichotomous graph to solve the problem of spatial position conflict of multi-vehicle and multi-driving behavior in the highway scenario. A set of feasible candidates driving behaviors of vehicles was created according to the static traffic information. A utility function was constructed according to five evaluation indicators, including the average lane speed, the vehicle density, the travel space, the time to collision (TTC), and the driving burden, to quantitatively evaluate the candidate driving behaviors. Taking the potential spatial position at the end of the vehicle's driving behavior as the target set, and the driving behavior evaluation utility as the weight, a dichotomous graph based on the vehicle set and the target set was constructed. Taking the maximum global total utility value as the decision-making goal, the Kuhn-Munkres (KM) algorithm was used to solve the optimal matching. A simulation scenario is built to verify the effectiveness of the method. The results show that the collaborative decision-making method effectively solve the conflict of multi-vehicle and multi-driving behavior, ensure vehicle driving safety, enhance the utility value by 2% and the average speed by 8% at the initial and final moments of the road, results in increased the traffic efficiency, and the accuracy of driving behavior decision-making is 11% and 9% higher than that of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), respectively. At the same time, the real-time performance of KM algorithm is much higher than that of GA algorithm and PSO algorithm.

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    Automotive Energy Efficiency and Environment Protection
    Experimental study on the effect of ammonia on nanostructure of particulate matters in ethylene laminar diffusion flames
    QIAN Weiwei, SHI Xiuyong, LI Song, SHUAI Shijin
    2023, 14(5):  618-627.  doi:10.3969/j.issn.1674-8484.2023.05.011
    Abstract ( 93 )   HTML ( 7)   PDF (2400KB) ( 113 )  

    To analyze the influence of ammonia on the nanostructure of particulate matters (PMs) under dual-fuel combustion conditions, the laminar diffusion flame of ethylene and ammonia/ethylene was studied by using the diffusion flame equipment and the high-resolution transmission electron microscope. The morphology and nanostructure properties of PMs of different flame heights (15 mm and 30 mm) in laminar diffusion flame were analyzed by probe sampling method. The results show that the lift-off height increases with the addition of ammonia from 7 mm to 12 mm in comparation with the ethylene flame; In addition, the morphology of PMs shows a grape-like or chain-like aggregate structure; At the flame height of 15 mm, the addition of ammonia increases the fractal dimension of aggregates from 1.85 to 2.15, by about 16.2%, which means the stacking degree of aggregates increases. Moreover, the aggregate consists of dozens to hundreds of primary particles with an average diameter distribution between 20 nm and 25 nm; The average diameter of primary particles increases by about 6% with the addition of ammonia, while the distance between fringes decreases, the length of fringes increases, the curvature decreases, and the PMs is more stable with the use of ammonia.

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    Detailed Analysis of full vehicle solar irradiance based on 3d ray-casting algorithm
    GONG Youkang, XU Shengzhi, WANG Lichao, NING Jing, MA Qing, XU Yumeng
    2023, 14(5):  628-636.  doi:10.3969/j.issn.1674-8484.2023.05.012.012
    Abstract ( 91 )   HTML ( 6)   PDF (2053KB) ( 151 )  

    Vehicle integrated photovoltaic(VIPV) can effectively reduce the dependence of vehicles on fossil fuels, help to reduce carbon dioxide emissions, and it is an important measure to promote the development of sustainable transportation. The irradiance of the whole vehicle was analyzed, and the annual cumulative radiation of the vehicle was calculated for evaluating the solar energy resources of the whole vehicle and optimizing the design of the integrated photovoltaic system on the vehicle. Based on the triangular mesh surface model, the global horizontal irradiance of a static vehicle at a specific time and position was calculated according to Kasten Clear Sky model, and then the direct normal irradiance on the inclined surface was analyzed by using the ray-casting algorithm in 3D space, and the diffuse irradiance was calculated combined with Perez model. Finally, the global irradiance on each triangular mesh and the irradiance distribution of the whole vehicle was obtained. The radiation energy of the vehicle in different regions and different driving conditions was also calculated and analyzed, providing a reference for the fine design of the vehicle efficient photovoltaic system. The result shows that the irradiance of different parts of the car is greatly different, the cumulative radiation energy throughout the year of the hood, the roof, the front and rear windshields, the left and right sides of the car and the windows varies from 15.8% to 42.5%, and the average radiation energy of the car is about 75% of the horizontal plane, and the difference of radiation energy is not more than 5% when the car is in different orientations.

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    Bionic four-leaf clover fin liquid cooling plate and heat transfer characteristics
    ZHAO Haodong, ZHANG Furen, LU Xinglong, HUANG Zhikai, LI Xue, SUN Shizheng
    2023, 14(5):  637-647.  doi:10.3969/j.issn.1674-8484.2023.05.013
    Abstract ( 120 )   HTML ( 10)   PDF (4517KB) ( 850 )  

    As two important factors of battery thermal management, temperature and pressure drop are of great significance to improve battery thermal performance. In order to further improve the thermal performance of the battery and to reduce the pressure drop and make the temperature distribution more uniform, a bionic four-leaf clover fin model was proposed, and the basic model was optimized based on computational fluid dynamics (CFD). The design structure of the inlet and outlet of the cold plate and the role of the size of the circular fin in the basic model were analyzed, and then the model of a four-leaf clover fin was proposed, and the influence of the optimized model's curvature and the number of fin rows was discussed. Finally, the variation trend of Nusselt number, pressure drop and comprehensive evaluation index of hydrothermal performance factor (HTPF) with Reynolds number of the 3 models was analyzed. The results show that when the radian of the four-leaf clover fin is 37.5° and the number of rows and column of the fin are 5 rows and 11 columns, the overall performance of the four-leaf clover fin is the highest, which is increased by 1.54% compared with that of the circular fin with a diameter of 4 mm; The angle of the 4 four-leaf clover fins and the optimal radius of the inner circle of the four-leaf clover are obtained by orthogonal experiment, and the overall performance of the optimization model is improved by 4.56%. With the increase of Reynolds number, the Nusselt, the pressure drop and the HTPF of liquid cooled plate are optimized by orthogonal experiment.

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