Energy Management Strategy of a Novel Electric Dual-Motor Transmission for Heavy Commercial Vehicles Based on APSO Algorithm

Jiajia Liang, Xiangyang Xu, Peng Dong, Tao Feng, Wei Guo and Shuhan Wang
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Jiajia Liang: School of Transportation and Science Engineering, Beihang University, Beijing 102206, China
Xiangyang Xu: School of Transportation and Science Engineering, Beihang University, Beijing 102206, China
Peng Dong: School of Transportation and Science Engineering, Beihang University, Beijing 102206, China
Tao Feng: Transmission Department, eKontrol Co., Ltd., Suzhou 215211, China
Wei Guo: Ningbo Institute of Technology, Beihang University, Ningbo 315832, China
Shuhan Wang: School of Transportation and Science Engineering, Beihang University, Beijing 102206, China

Sustainability, 2022, vol. 14, issue 3, 1-12

Abstract: With the development of electric vehicles, dual-motor transmission has become a potential alternative for automated manual transmission (AMT) due to the solution of power interruption and the improvement of energy efficiency. In this paper, a novel electric dual-motor transmission (eDMTP) for heavy commercial vehicles is proposed. Then, a 4-layer energy management strategy is developed to optimize dynamics performance and energy efficiency. Subsequently, a real vehicle operation is performed to validate the control strategy and the performance of eDMTP. The results demonstrate that the operating points of the two motors are both in and around the high-efficiency area under normal mode. This research lays the foundation for the development of a pure electric vehicle transmission system.

Keywords: dual-motor; transmission; mode switching; energy management strategy; torque split; control strategy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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