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  • 2022, Vol. 13 No. 3 Published on:30 September 2022 Previous issue    Next issue
    Review, Progress and Prospects
    Urban electric bus operation management: Review and outlook
    QU Xiaobo, LIU Yajun, CHEN Yuwei, BIE Yiming
    2022, 13(3):  407-420.  doi:10.3969/j.issn.1674-8484.2022.03.001
    Abstract ( 466 )   HTML ( 38)   PDF (1985KB) ( 1738 )  

    With the accelerating electrification of public transit systems, the number of electric buses (EBs) in China has increased substantially. The operation management of EBs is of great significance for reducing the carbon emissions of the public transit system. Herein, we firstly introduce the development history of EBs in China and Western countries, and summarize the existing issues in the EB operation management in practice. Then a framework of EB operation management is proposed, and current studies are summarized from the perspectives of energy consumption estimation, vehicle scheduling, energy-efficient driving, resource allocation and benefit evaluation. We point out the techniques and methods down the road on EB operation management. Finally, the challenges are systematically summarized. We conclude that the future works that need to be focused on include: electric bus network planning, battery life estimation based on actual data, intelligent scheduling, and adoption of new power supply and charging modes.

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    Automotive Safety
    Low velocity impact resistance of thermoplastic fiber reinforced metal laminates
    QI Chang, FU Lirong, SUN Yong, WEI Wentao, YANG Shu
    2022, 13(3):  421-428.  doi:10.3969/j.issn.1674-8484.2022.03.002
    Abstract ( 149 )   HTML ( 9)   PDF (4448KB) ( 137 )  

    The low-velocity impact resistance of thermo-plastic fiber metal laminates (TFMLs) was investigated to provide references for the actual structural design. Some thermoplastic fiber metal laminates (TFMLs)-3/2 were prepared by using 2024-T3 aluminum alloy, continuous glass fiber reinforced modified polyamide 6 unidirectional tape and polyethylene film. Some 122 J drop weight low-speed impact tests were carried out on the samples with different layup angles. Based on the dynamic analysis software LS-DYNA, a finite element simulation model of TFMLs low-speed impact was established, and the comparison error between simulation and test results was controlled within 10%. The results show that the unidirectional layup samples have brittle fracture, and the orthogonal layup samples only have plastic deformation without cracks; And the shape of the impactor and the angle of fiber layup have an important influence on the low-speed impact response of TFMLs; And the peak impact force of the pointed impactor is 46.5% lower than that of the flat impact. The internal damage area is the smallest in the orthogonal layup, which is 53.5% lower than that of the oblique layup.

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    Influence of the speed and load on the tire-pressure monitoring- system performances by frequency method
    XIA Huaicheng, HAN Xiangyang, HU Kuanda
    2022, 13(3):  429-437.  doi:10.3969/j.issn.1674-8484.2022.03.003
    Abstract ( 163 )   HTML ( 4)   PDF (2811KB) ( 120 )  

    This paper investigated the influence of vehicle speed and load changes on vibration frequency to popularize the practical application of the tire-pressure monitoring-system with a frequency method. A signal-acquisition circuit of wheel-speed sensors was designed based on the tire-pressure monitoring principle with the frequency method. The wheel-speed signal abnormal points and the gear-tooth errors were corrected. The torsional vibration frequency was calculated by the Fourier transform and by the model parameter estimation, in the speed of 40~100 km/h, under three load states including no-load (2 people in front row), half-load (4 people), and full-load (4 people plus 50 kg in trunk). The experimental tests were carried out. The statistical test results showed that the four-wheel lack of air alarm time in the free driving state was 6~8 min, and the alarm time before speed compensation was 12~15 min; there were no false alarms for different loads. The problem of too long alarm time and false alarm is solved. Therefore, this method improves the performances of tire-pressure monitoring-system.

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    Effectiveness evaluations and protecting for pedestrian ground contact injury by coupling the airbag and controlling vehicle braking
    ZOU Tiefang, ZHAO Yunlong, XIAO Jing, LI Yanchun
    2022, 13(3):  438-445.  doi:10.3969/j.issn.1674-8484.2022.03.004
    Abstract ( 138 )   HTML ( 5)   PDF (3073KB) ( 129 )  

    A series of simulation experiments were carried out to evaluate the effectiveness of coupling the airbag and controlling vehicle braking in the protection of pedestrian-ground contact injury. In these simulation experiments, there were 4 pedestrian sizes, 2 pedestrian gaits and 3 collision speeds. The simulation selected 4 types of vehicles and an airbag which was equipped at the front of the vehicle, the airbag is as wide as the vehicle. The vehicle was fully braked until the pedestrian head first contact with the car body, so the brake force was reduced to zero and the airbag was fired at the same time; then the vehicle was fully braked again when some criteria were met. The results shown that the method of coupling the airbag and controlling vehicle braking not only simplifies the controlled strategy, but also reduces the Weighted Injury Cost (WIC) of pedestrian-ground contact injury by 91.9% and the mean pedestrian Head Injury Criterion (HIC) by 87.7%. Therefore, a better airbag shape and ignition timing can improve the protection, but other solutions are needed for some pedestrian-ground contact cases.

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    Parameter calculation of traffic accidents based on the plastic deformation energy and the improved momentum method
    CHEN Jiayong, WU Xinye
    2022, 13(3):  446-452.  doi:10.3969/j.issn.1674-8484.2022.03.005
    Abstract ( 178 )   HTML ( 2)   PDF (1981KB) ( 46 )  

    An improved model was proposed to compute the traffic accident parameters through combining the vehicle plastic deformation energy and the conventional momentum model. The model was based on the two-dimensional point collision dynamics with comprehensively considering the plane and rotary motions, and also considered the angular velocity before the collision of two vehicles in accidents. Plane motions and rotary motions occurred between two vehicles in the collision process with momentum-impulse exchanges in a real traffic accident case. Through numerical simulations, both linear and angular velocities of collided vehicles in the traffic accident were calculated and analyzed, and the traffic accident scenarios were reconstructed. The numerical simulation results compared very well with those of PC- CRASH software. The results show that the calculated results by the improved momentum model are very close to the results obtained by the PC-CRASH software with a linear velocity error of less than 5%. The results of the improved model are closer to that of the real situation of vehicle frontal non-center collision accidents compared with the traditional energy method.

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    Research on the crashworthiness of a novel crush box with corrugated structures
    LUO Geng, ZHAO Jiannan, CHEN Liang, CHAI Chengpeng, WANG Tong, CHEN Yisong
    2022, 13(3):  453-462.  doi:10.3969/j.issn.1674-8484.2022.03.006
    Abstract ( 169 )   HTML ( 8)   PDF (4062KB) ( 265 )  

    A novel crush box with corrugated structures was designed and its crashworthiness was investigated to improve the passive safety of vehicles. A finite element model was established to compare the deformation modes and energy absorption properties of the equidistant continuous corrugated tube with that of the equidistant discrete corrugated tube with different corrugated shapes. It was conducted that the multi-objective optimization on the parameters of corrugated shape and the thickness of equidistant continuous corrugated tube. The results show that the equidistant continuous corrugated tube deforms stably under axial compression when the number of corrugations is greater than or equal to 8. Compared with the equidistant discrete tube, the specific energy absorption remains basically unchanged, and the initial peak crush force is reduced by 14.31%, showing that the equidistant continuous corrugated crush box has better energy absorption characteristics than the traditional equidistant discrete corrugated crush box, and it has important application value in the field of improving the passive safety of vehicles.

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    Intelligent Driving and Intelligent Transportation
    Trajectory planning and tracking control of automatic overtaking process on highway
    ZHANG Ping, CHEN Yifan, JIANG Shuzhen, HAN Yi
    2022, 13(3):  463-472.  doi:10.3969/j.issn.1674-8484.2022.03.007
    Abstract ( 171 )   HTML ( 8)   PDF (2805KB) ( 404 )  

    The trajectory planning and tracking control were investigated in the overtaking process for the autonomous driving vehicles on highway. The overtaking process was modeled and analyzed by digital simulation through longitudinal displacement-time graph (s-t graph). The algorithm planned the vehicle’s longitudinal and lateral motion with polynomials. The centralized model predictive controller controlled the vehicle’s longitudinal and lateral motion to realize the trajectory tracking of the overtaking process. The results show that compared to the decentralized control method, the centralized control method decreases the vehicle lateral acceleration fluctuation by 19.0%, and decreases the vehicle yaw rate fluctuation by 11.6%. Therefore, the centralized control method has smaller deviations in the lateral motion with smoother and more stable longitudinal accelerations. Thus, it meets the basic safety and stability requirements at highway overtaking.

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    Distributed feedback linear control for heterogeneous freight vehicle platoon on highway
    PENG Tao, XU Qing, CHEN Qiang, GUAN Zhiwei, HOU Haijing, WANG Tao, LI Jialin
    2022, 13(3):  473-481.  doi:10.3969/j.issn.1674-8484.2022.03.008
    Abstract ( 142 )   HTML ( 5)   PDF (3429KB) ( 541 )  

    A method of distributed feedback linearization controller was proposed to improve the lane-change stability of heterogeneous freight vehicle platoon on highway. Taking the heterogeneous freight vehicle platoon composed of trucks and tractor-semitrailers as the research object, a high-speed lane changing path planning set was established with use of Gaussian distribution fitting method, and the motion characteristics of the vehicle platoon during high-speed lane changing was analyzed with considering the communication delay and dynamic difference. A nonlinear system dynamics model of heterogeneous freight vehicle platoons was constructed, an active control strategy for safe lane changing of vehicle platoons was proposed, and a distributed feedback linear controller was designed. Using VTD and Matlab/Simulink, a high-speed lane changing traffic scene was established and simulated. The results show that the distance change between two adjacent vehicles is less than 1%. Therefore, the controller can ensure the track tracking and stability of the heterogeneous freight vehicle platoon.

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    Grouping-alternation-based cooperative merging strategy for connected and automated vehicles
    GUAN Xiaokui, HU Maobin
    2022, 13(3):  482-488.  doi:10.3969/j.issn.1674-8484.2022.03.009
    Abstract ( 244 )   HTML ( 6)   PDF (1880KB) ( 113 )  

    A grouping-alternation-based cooperative merging strategy was proposed to improve the efficiency of vehicle merging and reduce fuel consumption at highway on-ramps. The main challenge of cooperative merging is to improve traffic performance while ensuring that the computational load is small enough. Therefore, a passing order adjustment algorithm was designed to optimize the passing order of vehicles and simplify the complexity of cooperative merging. Combined with the characteristics of connected and automated vehicles and cooperative merging, the movement rules of vehicles were reconstructed to ensure driving safety and avoid stop-and-go. The results show that the throughput of the new strategy increases by 3.19% and 27.34%, the average delay decreases by 18.60% and 76.57%, and the total fuel consumption reduces by 35.48% and 14.41%, respectively, compared with the no-control and first-in-first-out strategies. The new strategy can be applied to different traffic flow scenarios to meet the real-time requirements of the traffic system and improve the traffic efficiency of highway on-ramps and reduce fuel consumption.

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    Path planning and control method for vehicle obstacle avoidance in pedestrian crossing scenes
    LI Wenli, XIAO Kaiwen, REN Yongpeng, LI Chao, Yi Fan
    2022, 13(3):  489-501.  doi:10.3969/j.issn.1674-8484.2022.03.010
    Abstract ( 181 )   HTML ( 8)   PDF (6173KB) ( 108 )  

    A vehicle obstacle avoidance control model was designed based on the driving risk field to avoid autonomous vehicles in the scenes that pedestrians pass cross streets. An obstacle avoidance function was used based on pedestrian repulsion-field gravity-center considering the potential risks of pedestrians in accelerated motion to optimize the lateral obstacle avoidance distance. The driving risk field theory was used to construct a global path planning layer. A local path planning and tracking controller was constructed based on Model Predictive Control (MPC). Some simulation tests were carried out on the PreScan-Carsim platform. The results show that the obstacle avoidance driving stability and lateral safety in the dynamic driving risk field are respectively increases by 7.21% and 4.63% compared with tracking the traditional static global path. Therefore, the designed controller achieves the goal of safe obstacle avoidance.

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    Brake model updating of automatic emergency braking system simulation test
    LIU Tao, CHI Ting, WANG Di, WU Zhenxin, ZHANG Zhenglong
    2022, 13(3):  502-508.  doi:10.3969/j.issn.1674-8484.2022.03.011
    Abstract ( 155 )   HTML ( 4)   PDF (1946KB) ( 204 )  

    A closed-loop simulation test system was established including a scenario model, a vehicle model, a sensor model, and a control model based on a vehicle Automatic Emergency Braking (AEB) function to improve accuracy of AEB simulation tests with a series of digital simulations and field tests. A correct module including a pure delay link, an inertial delay link, and a gain link was added in the vehicle braking system model to reduce the errors between the simulations and the field test results. The results indicate that after amending the braking system of vehicle model, the average error of maximum decelerations is 0.34 m/s2, the average error of mean decelerations is 0.16 m/s2 and the average error of minimum vehicle gaps is 4 cm in the AEB simulation tests; The simulation test results are coinciding with that of the field tests. Therefore, the simulation test system is capable of validating the AEB system correctly and effectively.

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    Automotive Energy Efficiency and Environment Protection
    Optical diagnostic on HCII combustion characteristics for NH3-PODE3 dual fuel engine
    MAO Jianshu, MA Xiao, MA Yue, WANG Zhi, ZHANG Yixiao, SHUAI Shijin
    2022, 13(3):  509-516.  doi:10.3969/j.issn.1674-8484.2022.03.012
    Abstract ( 135 )   HTML ( 5)   PDF (5938KB) ( 1155 )  

    Ammonia and PODEn are important alternative fuels for internal combustion engines to achieve the dual carbon target, and the dual fuel combustion mode is a generally recognized potential technology route for ammonia combustion. Focusing on the dual fuel combustion mode of ammonia ignited by PODEn, the effects of different PODE3 injection times, the different ammonia energy fractions on the in-cylinder combustion images, and the combustion characteristics in the ammonia-PODE3 homogeneous charge induced ignition (HCII) mode were systematically investigated based on an optical engine and the high-speed photography system. The results showed that PODE3 has good ignition characteristics; with the PODE3 injection time being delayed from crank angle (CA) - 20° to - 5°, the flame image area, the flame brightness and the peak heat release rate are increasing while the peak in-cylinder pressure increases first and then decreases; At a fixed direct injection (DI) time of CA -10°, the phase of CA10 and CA50 are gradually retarded with the ammonia energy fractions increasing, while both of the peak pressure and the peak heat release rate in the cylinder increase first and then decrease, indicating that there is an optimal ammonia-PODE3 energy ratio.

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    Robust optimization of energy management strategy in hybrid vehicles based on digital twin and PSO algorithm
    ZHOU Quan, ZHANG Cetengfei, LI Yanfei, SHUAI Bin, XU Hongming
    2022, 13(3):  517-525.  doi:10.3969/j.issn.1674-8484.2022.03.013
    Abstract ( 168 )   HTML ( 4)   PDF (3653KB) ( 263 )  

    A robust particle swarm optimization (PSO) scheme for the development of energy management strategy for hybrid vehicles was proposed based on digital twin. By incorporating global cross-validation with local particle swarm optimization, the proposed scheme aimed to achieve more reliable optimization for energy management. First, a digital twin model for the hybrid vehicle was built based on the chassis dynamometer test data and an adaptive neural fuzzy inference system (ANFIS) was then developed for real-time energy management. By introducing the concept of control utility, which evaluated the vehicle energy efficiency with a penalty factor of battery usage, the robust particle swarm optimisation scheme was deployed to optimize the hyper parameters of the ANFIS controller. The optimization performances were evaluated through experiment based on the hardware-in-the-loop testing platform under worldwide driving cycles including JC08, WLTC, and UDDS. Compared to conventional particle swarm optimisation, the proposed robust particle swarm optimization can achieve more than 11% higher control utility value in both learning cycles and testing cycles and improve the fuel economy by up to 27.92%.

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    Influence of the energy management strategy on the thermal management system performance of fuel cell bus
    SONG Bo, SUN Kai, CHE Zhizhao, CHEN Rui, LIU Huaiyu, REN Meilin, WANG Tianyou
    2022, 13(3):  526-534.  doi:10.3969/j.issn.1674-8484.2022.03.014
    Abstract ( 168 )   HTML ( 6)   PDF (2545KB) ( 96 )  

    An optimization scheme was proposed based on two typical energy management strategies to investigate the influence of two typical energy management strategies on the performances of vehicle thermal management system. A thermal management system model was established taking fuel cell bus as the research object and based on Matlab/Simulink software. Numerical simulations were carried out in driving cycle conditions based on the thermostat and the power-follower mode control strategy. The results show that the control strategy based on thermostat mode makes the fuel cell power change and other heat source components more stable under the condition of ambient temperature of 40 ℃ and full load of 13.5 t, compared with the control strategy based on power-follower mode. The overall maximum heat production rate of the thermal management system decreased by 33.41%, and the heat production decreased by 13.56%. The heat production of the thermal management system based on the switch-mode control strategy is decreased by 10% under the extreme conditions of room temperature, ambient temperature of 40 ℃, and different vehicle loading masses.

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    Experimental study on power battery thermal managment system based on thermoelectric-coupling liquid-cooling
    SHAN Chunxian, XIA Dengfu, LIU Zhaoyang, TANG Aikun
    2022, 13(3):  535-540.  doi:10.3969/j.issn.1674-8484.2022.03.015
    Abstract ( 135 )   HTML ( 7)   PDF (2538KB) ( 91 )  

    A thermoelectric-coupled liquid-cooling battery thermal-management system was designed to prolong the cycle life and endurance mileage of pure electric vehicle power batteries and improve the safety of the whole vehicle. An experimental test bench was built to analyze the thermal characteristics of the battery pack in the process of discharge and preheating. The heat dissipation performances of the battery pack were studied by changing the voltage, the flow rate, the coolant temperature, and the other parameters. The experimental results show that the maximum temperature of the battery is kept below 41 ℃ when the battery is charged and discharged by 1C to 2C cycle at 35 ℃. Compared with natural convection cooling and liquid cooling, the thermoelectric cooling system reduces by 10 ℃ and 7 ℃ respectively. The maximum temperature difference between single battery and battery pack is within 5 ℃ and 8 ℃ respectively, which always keeps the battery in the appropriate temperature range.

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    Remaining useful life prediction of lithium-ion batteries based on dropout Monte Carlo recurrent neural network
    WEI Meng, WANG Qiao, YE Min, LIAN Gaoqi, XU Xinxin
    2022, 13(3):  541-549.  doi:10.3969/j.issn.1674-8484.2022.03.016
    Abstract ( 143 )   HTML ( 3)   PDF (2977KB) ( 279 )  

    A dropout Monte Carlo (dropout-MC) recurrent neural network method was proposed for remaining useful life (RUL) prediction for lithium-ion batteries to guarantee the safety and reliability of electric vehicles. An equal charging voltage time was introduced as an indirect health indicator, and the variational mode decomposition (VMD) was adopted to reduce the influence of external interference and capacity regeneration. The long and short time series (LSTM) as the improved recurrent neural network was established for accurate RUL prediction. The dropout-MC method was proposed to obtain the 95% confidence interval for quantifying the uncertainty of the RUL prediction. Compared with traditional extreme learning machine (ELM) and nonlinear autoregressive neural network (NARX) methods, the proposed method not only can achieve a higher accuracy in RUL prediction with prediction performance below 2.4%, but also obtain reliability of RUL prediction.

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    Performance comparation of the series type and the range-extender type of the hybrid light commercial vehicles
    LI Minqing, FENG Jian, HAN Zhiyu
    2022, 13(3):  550-559.  doi:10.3969/j.issn.1674-8484.2022.03.017
    Abstract ( 228 )   HTML ( 10)   PDF (2354KB) ( 1485 )  

    The vehicle performances, fuel consumptions and in-use carbon dioxide emissions were simulated for a light commercial van with 150 km daily travel and 4.5 t gross mass to determine the optimal fuel consumption and carbon dioxide emission for the range-extender electric system and the series hybrid system. A rule-based strategy (RB) and a dynamic equivalent consumption minimization strategy (DECMS) were employed considering fair comparison and practicability before proposing an improved mixed strategy (M-DECMS). The results show that the range-extender electric vehicle (REEV) reduces the fuel consumption by 30.1% and reduces carbon dioxide emission by 16.65% compared with the series hybrid electric vehicle (SHEV) with two mass-production engines of 1.2 L and 1.5 L, under the China World Transient Vehicle Cycle (C-WTVC). Therefore, the range-extender electric system helps to reduce the fuel consumption and the in-use carbon dioxide emission comparing with the series hybrid system.

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    Sensorless control of permanent magnet in-wheel motor based on improved model reference adaptive strategy
    LI Yong, HU Han, QIN Zhenchao, WU Hao, WANG Wenjun
    2022, 13(3):  560-570.  doi:10.3969/j.issn.1674-8484.2022.03.018
    Abstract ( 104 )   HTML ( 5)   PDF (2614KB) ( 459 )  

    An improved model reference adaptive system (IMRAS) sensorless control method for permanent magnet in-wheel motor was proposed to improve the operational reliability of the sensorless control algorithm for in-wheel motor drive electric vehicles under variable load and wide rotation speed range operating conditions. Based on the fixed-gain adaptive law design in the traditional model reference adaptive system (MRAS), the nonlinear variable-gain design with active disturbance rejection controller (ADRC) was considered. The fal function was employed to establish the adaptive law with variable-gain nonlinear characteristics, which achieved the accurate estimation of the rotor position and rotation speed of the in-wheel motor. The proposed IMRAS method was verified through simulation and experiments. The results show that the sensorless control algorithm with the proposed IMRAS has strong robustness and high capability of anti-interference and adaption ability, especially in the wide speed range and under conditions of sudden change load.

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    Co-estimation of state of charge and capacity of lithium-ion battery based on GWO optimized LSTM and LSSVM
    WANG Qiao, WEI Meng, YE Min, LIAN Gaoqi, MA Yuchuan
    2022, 13(3):  571-579.  doi:10.3969/j.issn.1674-8484.2022.03.019
    Abstract ( 109 )   HTML ( 3)   PDF (2304KB) ( 110 )  

    A joint estimation model of the state of charge and capacity based on long short term memory (LSTM) and least squares support vector machine (LSSVM) was proposed to improve the accuracy of the state of charge (SOC) estimation of lithium-ion batteries after aging by analyzing the charging and discharging characteristics of lithium-ion batteries. According to the charging and discharging characteristics of the lithium-ion batteries, the charging time of the segment voltage was proposed as a new health factor. The capacity estimation module of the lithium-ion battery was established based on LSSVM, and the capacity estimation result was recorded by a memory gate. A joint estimation model of SOC and capacity of lithium-ion battery was established based on the grey wolf optimizer optimized long short term memory (GWO-LSTM) framework. The results show that the capacity estimation accuracy of the proposed method is improved by more than 43% comparing with the back-propagation neural network optimized by the particle swarm algorithm (BPNN-PSO) and the traditional LSTM model, and the SOC estimation shows better robustness.

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    Joint estimation algorithm of SOC-SOP for lithium-ion battery pack in new energy vehicles
    XIE Yi, JIANG Disheng, ZHANG Yangjun, LI Wei, YANG Rui, QIAN Yuping
    2022, 13(3):  580-589.  doi:10.3969/j.issn.1674-8484.2022.03.020
    Abstract ( 105 )   HTML ( 7)   PDF (7309KB) ( 59 )  

    The parallel-connected submodule in the serial-parallel connected battery pack was considered as the single battery unit to accurately estimate the state of the lithium-ion battery pack of a new energy vehicle, and the first-order resistance-capacitance model was applied to modelling the battery pack. The adaptive extended Karlman filter (AEKF) and the algorithm with multiple constrains were used for the state of charge- state of power (SOC-SOP) estimation algorithm for the battery pack. Based on the accurate estimation of SOC and multiple-constrain algorithm, SOC-SOP joint estimation algorithm precisely predicted the maximum current through the battery pack and realized the accurate SOP estimation. The results show that the maximum absolute error of the state of charge (SOC) estimate after convergence is only 2.7% under the simulated cyclic highway fuel economy test (HWFET); the state of power (SOP) estimate result is the same as that obtained in the Japanese Electric Vehicle Standard (JEVS) experimental test and the average relative error is less than 3.5%.

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