Power optimization control strategy for dual motor multi-axis drive autonomous vehicles

Dual motor multi-axle drive vehicles are commonly used in heavy-duty transportation scenarios, with high energy consumption and low range during driving. Improving the efficiency of power system operation and improving energy utilization are important ways to solve the problem within a low range. This article takes dual motor multi-axis drive autonomous vehicles as the research object. Besides, it proposes a dual feedback motor torque distribution optimization model and designs a braking torque distribution strategy that meets the optimal braking energy recovery. The dual feedback motor torque distribution optimization model and the braking torque distribution strategy that meets the optimal braking energy recovery are designed. Driving energy consumption and braking energy recovery are used as evaluation indicators to simulate and analyze the C-WTVC cycle and the CHTC-HT cycle conditions. The results show that the driving energy efficiency has been further improved, and the braking energy recovery efficiency has increased by 10%. Therefore, the optimization strategies for driving torque distribution and braking torque distribution designed in this article can both improve energy utilization efficiency, thereby increasing the driving range of the vehicle.

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Publication Details

Journal
Science and Technology for Energy Transition
Published
2025-01-01
DOI
https://doi.org/10.2516/stet/2025031
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Power optimization control strategy for dual motor multi-axis drive autonomous vehicles

Weihua Cheng, Zhentao Tan, Longze Deng, Chenyu Yi et al.
Science and Technology for Energy Transition
Electric and Hybrid Vehicle Technologies
article

Power optimization control strategy for dual motor multi-axis drive autonomous vehicles

Weihua Cheng, Zhentao Tan, Longze Deng, Chenyu Yi, Haiwei Wang, Xinyun Wang, Peng Xiao
article en

Abstract

Dual motor multi-axle drive vehicles are commonly used in heavy-duty transportation scenarios, with high energy consumption and low range during driving. Improving the efficiency of power system operation and improving energy utilization are important ways to solve the problem within a low range. This article takes dual motor multi-axis drive autonomous vehicles as the research object. Besides, it proposes a dual feedback motor torque distribution optimization model and designs a braking torque distribution strategy that meets the optimal braking energy recovery. The dual feedback motor torque distribution optimization model and the braking torque distribution strategy that meets the optimal braking energy recovery are designed. Driving energy consumption and braking energy recovery are used as evaluation indicators to simulate and analyze the C-WTVC cycle and the CHTC-HT cycle conditions. The results show that the driving energy efficiency has been further improved, and the braking energy recovery efficiency has increased by 10%. Therefore, the optimization strategies for driving torque distribution and braking torque distribution designed in this article can both improve energy utilization efficiency, thereby increasing the driving range of the vehicle.

Science and Technology for Energy TransitionVol. 80
Guangzhou Automobile Group (China) (CN), Shunde Polytechnic (CN), Guangdong Polytechnic Normal University (CN)
Openalex Percentile: Top 72%
Electric and Hybrid Vehicle Technologies
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Power optimization control strategy for dual motor multi-axis drive autonomous vehicles — Weihua Cheng, Zhentao Tan, et al. · Science and Technology for Energy Transition (2025) | TGRS Research Map | TGRS