Modeling and Simulation of Pure Electric Passenger Vehicle Based on MATLAB and AVL CRUISE
Gong Ping *
School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.
*Author to whom correspondence should be addressed.
Abstract
In this paper, the vehicle control strategy of pure electric passenger vehicle is designed in MATLAB/simulink, and the driving control strategy and the braking recovery mode control strategy modeling and Simulation are analyzed in detail. The model of the pure electric passenger car is built in AVL CRUISE software, and the parameters of the pure electric passenger car, driving motor, power battery, car tire and other modules are set, and then the established modules are connected. The results show that the drive control strategy of pure electric passenger vehicle does have its unique practicability and superiority.
Keywords: Pure electric passenger car, vehicle control strategy, co-Simulation, MATLAB/simulink, AVL CRUISE
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References
Suh IS, Lee MY, Vu DD. Prototype design and evaluation of an FSAE-based pure electric vehicle with wireless charging technology [J]. International Journal of Automotive Technology. 2014;15(7):1165-1174.
Shen Zhao, Zhou Fuliang, Mao Jianguo, Chen Wei, Yan Zhiwei. Research on rapid integration of drive control strategy for pure electric vehicles [J].Journal of Chongqing University of Technology (Natural Science). 2023;37(05):12-18.
Bailey PD. Modelling future vehicle exhaust emissions in Europe [J]. Water Air & Soil Pollution. 1995;85(4):1879-1884.
Zhao Jinbao. Pure electric car sanitation vehicle control strategy [J]. Journal of Practical Technology. 2022;47(22):11-15.
DOI:10.16638/j.carolcarrollnki.1671-7988.2022.022.003
Zhao Shuang, Su Songlin, Wu Aoxue. A pure electric vehicles from the learning control strategy [J]. Journal of Practical Technology. 2023(6):13:22-26.
DOI:10.16638/j.carolcarrollnki.1671-7988.2023.06.005.
Xu Yang, Zhou Kui, Yang Yahui, Yang Qian, Fu Yongzhi. Research on regenerative braking energy distribution strategy of in-wheel driven electric vehicle [J]. Journal of Chongqing University of Technology (Natural Science). 2023; 37(02):68-76.
Liu Yongshan. Research on Controller Development and Control Strategy of Pure Electric Vehicle [D]. Wuhan University of Technology; 2014.
Wan Haitong. Research on Drive Control Strategy of Pure Electric Vehicle [D]. Beijing Institute of Technology; 2016.
Wang Wei qiang, Yu Tianci,Yan Yunbing.Research on energy recovery strategy of reg-enerative braking of electric bus[J]. Mechanical Design and Manufacturing.2023(02):127-131.
DOI:10.19356/j.cnki.1001-3997.2023.02.004
Yang Shen. Research on Integrated Control Method for Yaw Stability of Electric Vehicle Driven by Hub Motor [D]. Chongqing University of Technology; 2017.
Pan Lei. Research on Power System Matching and Simulation Optimization of Pure Electric Vehicle [D]. Chang 'an University; 2015.
Chang Zhichao. Research on Control Strategy of Pure Electric Vehicle [D]. Chang 'an University; 2017.
Liu Yang, Hu Jialei. Hybrid electric vehicle energy management system control strategy study [J]. Journal of Information Technology. 2016;9:121-125+129.
DOI:10.13274/j.carolcarrollnkiHDZJ. 2016.09.032
Lin Xinyan, Ruhai GE, Wang Bin, et al. Research on parameter matching and simulation of power system of pure electric vehicle [J]. Machine Building. 2014;52(8): 6-10.
Zhang Yu. Research on regenerative braking control strategy of hybrid electric vehicle [D]. Harbin University of Science and Technology; 2010.
Liu Fuxiao, Zhao Han, Jiang Hao. Research on shift rule and simulation of pure electric vehicle AMT [J]. Journal of Hefei University of Technology (Natural Science Edition). 2013(11):1281-1284.
Yu Zhisheng. Automobile Theory [M]. Beijing: China Machine Press. 1982;1-68.
Luo Shi, Zhang Dandan, Zhu Changshun, et al. Starting simulation of pure electric bus [J]. Mechanical and Electrical Engineering. 2015;32(1):141-145.
Yin Pengfei. Design and simulation analysis of two-speed automatic transmission for electric vehicles [D]. Harbin Institute of Technology; 2015.
Du Xuejing, Wang Ning, Cui Shuhua. Research on control strategy of extended range electric vehicle based on fuzzy logic algorithm [J]. Journal of Highway and Transportation Science and Technology. 202;39(12):213-223.
LI Zhaomin. Research on braking control strategy of electric vehicle [J]. Times Automobile. 2019(11):58-59.
Dong Wei. Pure electric vehicle control strategy study [J]. Modern manufacturing technology and equipment. 2018;7:51 and 53. DOI:10.16107/j.carolcarrollnkimmte. 2018.0603
He Kun, Zhang Bin. Analysis and Research of Electric Vehicle Drive Motor Control Strategy [J]. Southern Agricultural Machinery. 2023;54(13):28- 31.