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  • 2018, Vol. 9 No. 2 Published on:30 June 2018 Previous issue    Next issue
    Progress & Prospects
    Development status and trend of connected automated vehicle highway system
    RAN Bin, TAN Huachun, ZHANG Jian, QU Xu
    2018, 9(2):  119-130.  doi:10.3969/j.issn.1674-8484.2018.02.001
    Abstract ( 712 )   PDF (1754KB) ( 5295 )  

    Development status and trend of connected automated vehicle highway (CAVH) system are presented. The system consists of four key modules: sensing module, fusion and prediction module, planning module, and control module. The system initially starts from a level of “simple vehicle, smart road” or “smart
    system” and gradually migrates to a higher-level system of “smart vehicle, smart road”, which can significantly improve transportation efficiency, traffic safety and energy consumption. The development of the CAVH system is very important for China. Accordingly, the roles and functions of government agencies in transportation planning, construction and management need be well defined to develop the CAVH system.

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    Children's safety seats recall and the assessment of ease of use in China and the US
    XIAO Lingyun,Shaopeng, DONG Honglei, ZHOU Yong, ZHAO Dapeng, HU Wenhao, ZHANG Jinhuan
    2018, 9(2):  131-140.  doi:10.3969/j.issn.1674-8484.2018.02.002
    Abstract ( 239 )   PDF (1646KB) ( 420 )  

    Children's safety seat or named child restraint system (CRS) can effectively reduce the casualty rate of the children in traffic accidents without misuses and defects. The authors made questionnaire survey on the use of CRSs in China, investigated the assessment system of ease of use, and comparatively analyzed
    the situation of usage rate and the misuse, the assessment system of ease of use and the recall data for CRSs in 2010-2017 in China and the US. The results show that the usage rate of CRSs in five large cities in China accounts for only 20.9%, which is far lower than that of the US, and the users' misuse rate in China is over 80%, which is also higher than that in the US. The assessment method of ease of use of CRSs in China is suitable for the market and the users?? habits in China. The number of recalled defect CRSs in the US is far greater than that in China, and the recall supervisions of defect CRSs are more severe than that in China. Therefore, the authors proposed some suggestions that Chinese government should strengthen the legislation and the customer propagation for CRSs, while whole CRS industry should complete the assessment of ease of use and strengthen the supervisions for defect CRS product recall to improve the product quality and to protect the safety of children in vehicles.

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    Automotive Safety
    Identification and Learning in Autonomous Vehicle Control Systems
    WANG Leyi,George Yin, ZHAO Guangliang, LI Shengbo, Xu Biao, LI Keqiang
    2018, 9(2):  141-148.  doi:10.3969/j.issn.1674-8484.2018.02.003
    Abstract ( 259 )   PDF (1736KB) ( 283 )  

    System parameters of autonomous vehicles need to be identified and learned during operation to solve the problem that autonomous vehicles encounter many uncertainties that change with time, operating conditions, and environments. By capturing system behavior in a closed-loop setting and using data to learn the
    related parameters, system reliability and robustness can be quantitatively established. This paper focuses on a basic scenario of an autonomous vehicle following its front vehicle. By integrating control actions with vehicle dynamics, a learning algorithm using operational data and confidence ellipsoids was employed to support robustness and reliability. A simulation case study was used to illustrate the strategies. The results show the proposed method can estimate the vehicle’s parameters accurately.

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    Special stereo-digital image correlation method for material constitutive parameter identification
    ZHANG Zhongya,PAN Bing
    2018, 9(2):  149-155.  doi:10.3969/j.issn.1674-8484.2018.02.004
    Abstract ( 167 )   PDF (2334KB) ( 410 )  

    An easy-to-implement and effective “special stereo-digital image correlation (SS-DIC)” method was proposed by using the virtual field method (VFM) to accurately identify material constitutive parameters. The left camera in the SS-DIC system was placed with its optical axis normal to the specimen surface, while the sensor of the right camera was inclined with respect to the specimen surface in experiment. Pure shear tests of the prismatic aluminum specimens verified the effectiveness and accuracy of the proposed method. Experimental results show that the constitutive parameters identified by the VFM using the SS-DIC are more accurate (relative errors of both Young's modulus and Poisson's ratio are less than 4%) than those identified by the VFM by using two dimensional digital image correlation (2D-DIC) (relative errors of both Young's modulus and Poisson's ratio are more than 6%). The SS-DIC can not only deliver accurate deformation measurement without being affected by the unavoidable out-of-plane movement/rotation of a test specimen, but can also ensure evenly distributed
    calculation data in space and leads to simple data processing in the identification of constitutive parameters.

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    Traffic safety early warning at intersection based on machine vision and information sharing
    ZHU Shuliang, YU Tao, LI Jun
    2018, 9(2):  156-163.  doi:10.3969/j.issn.1674-8484.2018.02.005
    Abstract ( 225 )   PDF (2193KB) ( 782 )  

    A safety early warning system of vehicles and vulnerable road users in the global domain was proposed based on machine vision and information sharing to improve the traffic safety at road intersections. The system consisted of roadside unit and on board unit. The roadside unit cameras captured intersection real
    time videos. The machine vision technology calculated the motion states of vehicles and vulnerable road users. The traffic safety degrees of the monitoring targets were judged by calculating the time to collision. The roadside unit released alarm information precisely to the dangerous vehicle. The system transmitted accurately warning information to the dangerous vehicle. The target detection and the motion analysis were simulated and tested for the system. The test results show that the early warning scheme is feasible in vehicle detection, motion analysis and safety prediction under the test conditions.

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    Identification of dangerous state of fatigue driving based on entropy weight grey incidence and D-S theory evidence
    QU Xian, YU Feng, Zhao Yue
    2018, 9(2):  164-170.  doi:10.3969/j.issn.1674-8484.2018.02.006
    Abstract ( 218 )   PDF (1584KB) ( 257 )  

    An approach about dangerous driving behavior recognition was proposed to solve the problem of uncertainty and complex in driver's behavior identification. This approach was based on a combination of Dempster-Shafer (D-S) evidence theory with entropy weight grey incidence considering both the comprehension
    of different indexes and the uncertainty of different goals. The weights of indexes were calculated by entropy theory to determine uncertainty reliabilities with grey relation analysis and to construct a Mass Functions for different goals. Dangerous driver status was identified based on Dempster synthesis rule with D-S theory evidence that integrated Mass functions. An expert evaluation method based on facial video was used to judge driving behaviors. The experimental results show that the method provides the recognition accuracy of 91.25% under high-speed condition. Therefore, the reliability and accuracy of the identification method are significantly higher than those of single sensor are.

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    Digital simulation of vehicle-rollover stability-control based on differential braking
    ZHAO Shu'en, ZHANG Xiong
    2018, 9(2):  171-177.  doi:10.3969/j.issn.1674-8484.2018.02.007
    Abstract ( 188 )   PDF (4571KB) ( 478 )  

    A differential braking anti-rollover active control strategy was proposed combining dynamic load transfer rate and vehicle yaw rate to improve the anti-rollover ability for commercial heavy-duty vehicles driving in turn at high-speed. A dynamics model was established for the vehicle rollover with 3-freedomdegree
    including the lateral, the yaw and the roll motions. Joint digital-simulations were performed by TruckSim and Matlab/Simulink at high-speed fishhook condition and at double lane change condition by using a linear quadratic optimal control theory with load-transfer-rate (LTR) and vehicle-yaw-rate as rollover dynamic-stabilization-factors. The results show that the lateral acceleration is improved by a rate of 6.75% and the lateral load-conversion is improved by a rate of 33% when adopted this strategy, meanwhile eventually turns over rollover for conventional vehicle when reaching rollover limit. Therefore, this strategy can improve the rollover control capability and the lateral stability of heavy vehicles under high-speed aggressive conditions.

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    Factors for affecting risk of human lumbar spine injuries under dropping conditions
    WANG Xinyi, LIU Xiaoying, CHEN Cong, TANG Liang, WANG Donglin
    2018, 9(2):  178-185.  doi:10.3969/j.issn.1674-8484.2018.02.008
    Abstract ( 297 )   PDF (2718KB) ( 459 )  

    Lumbar injuries caused by axial impact often occur in frontal crash, the explosion of military vehicles at the bottom and pilot ejection, which lead to paraplegia. Finite element method was used in simulation of dropping conditions with Hybrid III 50th Dummy model. Four factors affecting human lumbar spine injuries were
    put forward including impact velocity, ground angle, cushion thickness and friction coefficient with analysing the sensitivity of each factor the four. The results show that the impact velocity and the cushion thickness have great influence on lumbar injuries, and other factors are not significant. The lumbar injury risk increases with impact velocity increase and decreases with cushion thickness increase. Lumbar has a risk of fracture when the impact velocity is 6 m/s and above, or the cushion thickness is 100 mm and below. These results can help to improve the protection of lumbar which injured by axial force in the accident. For example, increase the cushion thickness, reduce contact friction and increase impact angle.

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    Design of automobile tailor rolled blank B-pillar based on one dimension hybrid cellular automata model
    LUO Xin1 DUAN Libin, CHEN Tao, DU Zhangpeng
    2018, 9(2):  186-193.  doi:10.3969/j.issn.1674-8484.2018.02.009
    Abstract ( 260 )   PDF (2064KB) ( 518 )  

    Abstract: A one dimension hybrid cellular automata (ODHCA) model, which can handle the optimization problem of thickness distribution in different area of the tailor rolled blanks (TRB) B-pillar, was proposed to effectively apply the tailor rolled blank into the lightweight design and the crashworthiness design of the vehicle body. The ODHCA model was established and the TRB B-pillar was divided into several one dimensional cells along the rolling direction; the thicknesses of the cells were extracted as the design variables and the local update rules were determined. The thickness distribution constraint function of the design region was defined. The iterative method and convergence criterion of ODHCA was determined according to the characteristics of flexible rolling process. The results show that the intrusion of the thorax, abdomen, and pelvis is reduced by 8.8%, 13.4%, and 14.6% respectively in the case of equal mass; while the mass is reduced by 14.2%, those of the above body parts is reduced by 5.8%, 9.6%, and 10.3% respectively. Therefore the method can improve the deformation mode of the B-pillar and the side crashworthiness performance, leading to meet the lightweight requirements.

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    Analysis on dynamic characteristics of leaf spring
    LI Shunming, QIAN Weiwei
    2018, 9(2):  194-199.  doi:10.3969/j.issn.1674-8484.2018.02.010
    Abstract ( 172 )   PDF (1612KB) ( 631 )  

    A finite-element dynamic analysis model was built to solve the problem that the traditional designing and calculation methods of leaf spring had difficult in taking consideration of the true working condition. The nonlinear factors of both constrains and contacts were considered comprehensively in the model, and the
    dynamic properties of the leaf spring was investigated. The responds of the model under excitation were acquired via finite-element transient dynamic method, and the laws of dynamic stiffness and stress under various frequency and amplitudes was obtained. The hysteresis was analyzed and the equivalent damping
    of leaf spring was calculated from the hysteresis. The result shows that the modelling method which takes comprehensive consideration of the nonlinear constrains and contacts can effectively simulate the true working condition of leaf spring.

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    Automotive Energy Efficiency & Environment Protection
    Energy management of hybrid energy storage system based on convex optimization
    WU Xiaogang, HOU Weixiang
    2018, 9(2):  200-208.  doi:10.3969/j.issn.1674-8484.2018.02.011
    Abstract ( 200 )   PDF (2557KB) ( 604 )  

    A convex optimization method for charging and discharging depth of supercapacitors was proposed to solve the energy allocation problem of an electric bus with a semi-active compound energy storage system and to extend the service life of power batteries and improve the overall operating energy efficiency of electric
    buses. This method and a rule-based power allocation strategy proposed were compared and analyzed from the aspects of comprehensive energy efficiency, power cell output power variance and capacity attenuation on the basis of the typical China Bus Driving Cycle. The results show that the integrated energy efficiency based on the convex optimized power distribution mehod is 84.2%, and the mean square deviation of the output power of the battery is 10.3 kW. The capacity decay of the power battery is 0.40% after 100 cycles at 40 ℃ . The comprehensive energy efficiency of the proposed method is improved by 0.4%, the mean square deviation of the output power of the power battery is reduced by 52.8%, and the capacity attenuation is reduced by 53.6% compared with the rule-based power allocation method.

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    Real driving emission characteristics of a light duty plug-in hybrid electric vehicle
    WANG Xiaowei, JING Xiaojun, QIN Kongjian, YAN Feng
    2018, 9(2):  209-214.  doi:10.3969/j.issn.1674-8484.2018.02.012
    Abstract ( 244 )   PDF (2593KB) ( 371 )  

    Three real driving emission (RDE) tests were conducted in accordance with the China No 6 emission regulation of light-duty vehicle to understand the exhaust emission of hybrid vehicle under real driving by using a portable emission measurement system (PEMs) for the light duty plug-in hybrid electric vehicle (PHEV)
    which met the China No 5 emission regulation’ requirements. The characteristics of emissions including CO, NOx and particle number (PN) were investigated. The results show that emission results based on New European Driving Cycle (NEDC) meets the regulation requirements. However, for these three RDE tests, the emission conformity factor (CF) of PN is over the limitation of 2.1 at both of the city trip and total trip; while the CF of NOx is lower than the limitation of 2.1, and that of CO sometimes surpasses 2.1. The emission peak appears at each engine start, CO, NOx and PN emissions are very high during the rural and motorway trips because the engine is charging the battery besides powering the vehicle.

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    Design of a high voltage safety system for electric vehicle based on electric shock and heat control model
    LI Dong, SHA Wenhan, WANG Fei, LIU Lin
    2018, 9(2):  215-222.  doi:10.3969/j.issn.1674-8484.2018.02.013
    Abstract ( 170 )   PDF (1664KB) ( 658 )  

    High voltage safety is a key technology in the development of electric vehicles driving with high voltage power. A risk model of electric shock and thermal runaway was constructed with a top priority of users’ safety. The necessary conditions were investigated for interrupting the risk model by using the model system to identify the safety characteristic parameters. The high voltage safety system was designed and real vehicle test verification in 3 dimensions including setting safety characteristic parameters, detecting feature parameter functions, and having a strategy for abnormal state protection. The results show that the reasonable operation of the safety parameters can ensure the vehicle safety while the abnormal state can detect and disconnect the high voltage output in time and avoid the risk of electric shock when the low insulation resistance, the disconnected connector, the collision and other abnormal states occur. Therefore, the hazard model can assist the design of the vehicle high voltage safety system to improve the vehicle safety performance.

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    Multi−model adaptive Kalman filtering SOC estimation considering battery characteristics
    TIAN Ye, SONG Kai
    2018, 9(2):  223-230.  doi:10.3969/j.issn.1674-8484.2018.02.014
    Abstract ( 192 )   PDF (1827KB) ( 765 )  

    A multi-model adaptive Kalman filter algorithm was designed to capture battery characteristics and estimate state of charge (SOC) accurately. This method obtained a variety of characteristics of the battery through an improved hybrid pulse power characteristic (HPPC) test, and established two dynamic models to
    describe the temperature characteristics and the rate characteristics of the battery respectively, and used a fusion algorithm based on conditional probability to combine different dynamic characteristics information within the battery. The results show that the average estimation error is less than 1% under dynamic stress testing conditions. The multi-model filter estimation method integrates the different dynamic characteristics of the battery, which can better explain the nonlinear characteristics of the battery in complex environment, maintaining high accuracy over the entire charge-discharge interval and the more complex usage conditions, also improving the accuracy and robustness of the SOC estimation.

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