LAPSE:2023.35227
Published Article
LAPSE:2023.35227
Research on Adaptive Distribution Control Strategy of Braking Force for Pure Electric Vehicles
Jingang Liu, Lei Bu, Bing Fu, Jianyun Zheng, Gaosheng Wang, Lihong He, Yuliang Hu
April 28, 2023
The actual driving conditions of electric vehicles (EVs) are complex and changeable. Limited by road adhesion conditions, it is necessary to give priority to ensuring safety, taking into account the energy recovery ratio of the vehicle during braking to obtain better braking quality. In this work, an electric vehicle with an EHB (electro-hydraulic braking) system whose braking force adaptive distribution control strategy is studied. Firstly, the vehicle dynamics model, including seven degrees of freedom, tire, drive motor, main reducer, battery pack, and braking system, was constructed, which is attributed to the vehicle configuration and braking system scheme. Second, based on curve I and ECE regulations, the adaptive braking force distribution control strategy was formulated by taking the maximum regenerative braking torque as the inflection point, the synchronous adhesion coefficient as the desired point, and the battery SOC, road adhesion coefficient, and braking strength as the threshold. Finally, the vehicle dynamics simulation model was built on the Matlab/Simulink platform, and the simulation results verified the feasibility of the proposed braking force adaptive allocation control strategy. The research shows that the adaptive distribution control strategy can better adapt to the complex and variable driving conditions of the vehicle by combining the inflection point and the desired point. The braking energy recovery ratios of the vehicle under the NEDC and NYCC cycle conditions on a high adhesion road are 52.62% and 47.45%. The braking force distribution curve is close to curve I under the low adhesion extreme road.
Keywords
adaptive distribution control, braking force, electric vehicles, regenerative braking, synchronous adhesion coefficient
Suggested Citation
Liu J, Bu L, Fu B, Zheng J, Wang G, He L, Hu Y. Research on Adaptive Distribution Control Strategy of Braking Force for Pure Electric Vehicles. (2023). LAPSE:2023.35227
Author Affiliations
Liu J: School of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China; Key Laboratory of Automotive Power and Transmission System of Hunan Province, Xiangtan 411100, China
Bu L: School of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China
Fu B: School of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China; Zhuzhou Gear Co., Ltd., Zhuzhou 412000, China
Zheng J: School of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China [ORCID]
Wang G: School of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China; Key Laboratory of Automotive Power and Transmission System of Hunan Province, Xiangtan 411100, China
He L: Key Laboratory of Automotive Power and Transmission System of Hunan Province, Xiangtan 411100, China
Hu Y: School of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China; Guangdong Shunde Weasi Robot Co., Ltd., Foshan 528000, China
Journal Name
Processes
Volume
11
Issue
4
First Page
1152
Year
2023
Publication Date
2023-04-09
Published Version
ISSN
2227-9717
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PII: pr11041152, Publication Type: Journal Article
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LAPSE:2023.35227
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doi:10.3390/pr11041152
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