Distributed drive electric bus torque allocation control strategy analysis with MOEA/D

Liang Su; Jin Jiang; Chao Chen

doi:10.1117/12.2646759

7 September 2022 Distributed drive electric bus torque allocation control strategy analysis with MOEA/D

Liang Su, Jin Jiang, Chao Chen

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232935 (2022) https://doi.org/10.1117/12.2646759
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

In this paper, the power performance, economical performance, handling stability and driving safety are regarded as major control targets of Distributed Drive Electric Bus (DDEB). According to vehicle driving information, the weight coefficients of multiple control targets are calculated by neural network. Furthermore, multi-objective optimization algorithm is carried out to determine the driving torque of each wheel with Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D). The slalom test results demonstrate that the torque allocation control strategy can satisfy the demand of longitudinal driving force and direct yaw moment as far as possible, and improve the handling stability of test bus effectively.

Citation Download Citation

Liang Su, Jin Jiang, and Chao Chen "Distributed drive electric bus torque allocation control strategy analysis with MOEA/D", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232935 (7 September 2022); https://doi.org/10.1117/12.2646759

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