journal article·2025-12-02Open access

Research on Energy Management Strategy for Range-Extended Electric Vehicles Based on Eco-Driving Speed

Hanwu Liu, Kaicheng Yang, Wencai Sun, Le Liu, Zihang Su, Qiaoyun Xiao, Song Wang, Shunyao Li

Applied Sciences· Volume 15· Issue 23

Abstract

To achieve the optimal energy allocation between the auxiliary power unit (APU) and battery of connected automated range-extended electric vehicle (CAR-EEV), the hierarchical eco-driving control with dynamic game energy management were investigated and the optimization design of APU working mode was carried out from a multi-objective perspective. Initially, the acceleration and speed of the host vehicle were adjusted in real time, based on the driving status of the preceding vehicle, and the ecological driving speed was obtained in the adaptive car-following eco-driving mode. The dynamic game energy management strategy was proposed, leveraging the real-time interactive information between the vehicle and the traffic environment, and intelligently allocating and scheduling the energy flow within the powertrain. Dynamic game optimization was adopted to achieve dynamic decision-making and control optimization on whether to switch the APU operating speed or not. The multi-objective optimization analyses are carried out based on the weight coefficient matrix. The hierarchical dynamic game energy management strategy based on eco-driving speed (HDGEMS) is implemented through dynamic games and exhibits excellent performance. This strategy enables dynamic adjustment of power distribution between the APU and the battery, thereby allowing the APU to operate efficiently under optimal operating conditions. Meanwhile, it effectively reduces secondary charging losses and the dynamic switching time of the APU, and ultimately achieves energy optimization. Eventually, the results of simulation and experimental thoroughly indicated that economy improvement, emission reduction, and battery life enhancement of CAR-EEV were effectively kept in balance under the control of the proposed HDGEMS with intelligent optimization mode. New research ideas and technical directions are provided for the field of EMS, which is expected to promote technological progress in the industry.
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Research context

OpenAlex topics: Electric and Hybrid Vehicle Technologies · Electric Vehicles and Infrastructure · Advanced Battery Technologies Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Transportation College, Jilin University, Changchun 130022, China

Materials Science and Engineering College, Jilin University, Changchun 130022, China

National Key Laboratory of Automotive Chassis Integration and Bionics, Automotive Engineering College, Jilin University, Changchun 130022, China

Army Academy of Aromred Forces, Sergeant School, Student Army Second Brigade, Changchun 130117, China

Funding

Research on Collaborative Optimization of Optimal Speed Control and Energy Management for Connected Automated Range-Extended Electric Vehicle · Design of Key Mechanical Components and Development of Intelligent Control System for Customized Material Handling Equipment

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