Title: Investigation of regenerative braking for the electric mining truck based on fuzzy control

Authors: Denghao Luo; Weiwei Yang; Yilin Wang; Yijun Han; Qiang Liu; Yaodong Yang

Addresses: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China

Abstract: This paper proposes a braking force distribution strategy to control regenerative braking by analysing the vehicle's state so that regenerative braking does not damage the battery while recovering energy. In this paper, considering the particular characteristics of regenerative braking, a braking force distribution strategy for the front and rear axles of the vehicle is designed so that the rear axle can obtain more braking force safely. After that, a real-time optimal control strategy is proposed for regenerative braking. It uses a fuzzy control algorithm to allocate the proportion of regenerative braking by considering the battery capacity, braking intensity, and vehicle speed. The proposed strategy can recover energy while protecting the battery as much as possible. Simulation results show that the pure electric vehicle using the fuzzy control algorithm can reduce the allocation ratio of regenerative braking when the battery capacity is high, or the vehicle speed and braking intensity are high, while recovering as much energy as possible under reasonable circumstances. Therefore, the proposed regenerative braking control strategy in this paper can meet the regenerative braking requirements of pure electric vehicles.

Keywords: electric mining truck; regenerative braking; fuzzy control; energy management.

DOI: 10.1504/IJVP.2024.135452

International Journal of Vehicle Performance, 2024 Vol.10 No.1, pp.73 - 95

Received: 16 Mar 2023
Accepted: 07 Jun 2023
Published online: 13 Dec 2023 *

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