Optimization of Brake Feedback Efficiency for Small Pure Electric Vehicles Based on Multiple Constraints

Xiaoping Li, Junming Zhou, Wei Guan (), Feng Jiang, Guangming Xie, Chunfeng Wang, Weiguang Zheng and Zhijie Fang
Additional contact information
Xiaoping Li: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
Junming Zhou: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
Wei Guan: School of Mechanical Engineering, Guangxi University, Nanning 530004, China
Feng Jiang: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
Guangming Xie: Institute for Artificial Intelligence, Peking University, Beijing 100871, China
Chunfeng Wang: Guangxi Yuchai Machinery Co., Ltd., Yulin 537005, China
Weiguang Zheng: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
Zhijie Fang: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China

Energies, 2023, vol. 16, issue 18, 1-20

Abstract: An efficient and stable braking feedback scheme is one of the key technologies to improve the endurance performance of pure electric vehicles. In this study, four constraint conditions for different braking feedback schemes were clearly defined, and tests and simulation analysis were carried out based on “the relationship between rear-drive feedback efficiency and vehicle configuration conditions” and “the relationship between front-drive feedback efficiency and braking efficiency”. The results show that for rear-driving, the RSF2 scheme with low dependence on the constraint conditions of tramping characteristics is the comprehensive optimal scheme under the condition of decoupling control constraints, and the mileage improvement rate reaches 29.2%. For front driving, the FSF1A scheme is the comprehensive optimal scheme considering both braking efficiency and feedback efficiency, and the mileage improvement rate reaches 35.8%. Finally, the feasibility of the proposed braking feedback scheme is proved using the drum test under cyclic conditions, and the research results provide a theoretical basis for the optimization of braking feedback energy efficiency of small pure electric vehicles.

Keywords: electric vehicles; energy recovery; braking feedback scheme; energy efficiency optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/18/6531/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/18/6531/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:18:p:6531-:d:1237291

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().