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Volume 14
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Article

Rule-Based Control Strategy for a Novel Dual-Motor PHEV Improved by Dynamic Programming

by
Shunzhang Zou
1,
Jun Zhang
1,
Yu Yang
1,
Yunshan Zhou
1,2,
Yunfeng Liu
1,3,*,
Jingyang Peng
1 and
Xiaokang Feng
1
1
The State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha 410082, China
2
The Hunan Jianglu & Rongda Vehicle Transmission Co., Ltd., Changsha 410205, China
3
The Hunan Provincial Key Laboratory of Vehicle Power and Transmission System, Hunan Institute of Engineering, Xiangtan 411104, China
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(7), 1450; https://doi.org/10.3390/electronics14071450
Submission received: 27 February 2025 / Revised: 27 March 2025 / Accepted: 1 April 2025 / Published: 3 April 2025
(This article belongs to the Section Electrical and Autonomous Vehicles)
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Abstract

Appropriate energy management strategy can further improve the fuel economy of plug-in hybrid electric vehicles (PHEV). Rule-based control strategies are dominant in actual vehicles because of their fast calculation and easy implementation. However, incorrect parameter settings and suboptimal control strategies may lead to substantial performance variations, preventing optimal fuel efficiency and emissions reduction. In this paper, the dynamic programming algorithm is implemented to design the control strategy for a dual-motor PHEV. The MATLAB/Simulink environment is used to construct models of the key components and powertrain controller, and simulation platforms for both rule-based and optimization-based strategies are established. Through the calculation results of dynamic programming (DP) algorithm, the rule of working mode switching and torque distribution is analyzed to improve the performance of rule-based control strategy. WLTC driving cycle simulation results show that the improved rule control effectively improves the economy of PHEV, and its comprehensive consumption per 100 km decreases by 2.853%.
Keywords: plug-in hybrid electric vehicle; control strategy; dynamic programming; MATLAB/Simulink plug-in hybrid electric vehicle; control strategy; dynamic programming; MATLAB/Simulink

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MDPI and ACS Style

Zou, S.; Zhang, J.; Yang, Y.; Zhou, Y.; Liu, Y.; Peng, J.; Feng, X. Rule-Based Control Strategy for a Novel Dual-Motor PHEV Improved by Dynamic Programming. Electronics 2025, 14, 1450. https://doi.org/10.3390/electronics14071450

AMA Style

Zou S, Zhang J, Yang Y, Zhou Y, Liu Y, Peng J, Feng X. Rule-Based Control Strategy for a Novel Dual-Motor PHEV Improved by Dynamic Programming. Electronics. 2025; 14(7):1450. https://doi.org/10.3390/electronics14071450

Chicago/Turabian Style

Zou, Shunzhang, Jun Zhang, Yu Yang, Yunshan Zhou, Yunfeng Liu, Jingyang Peng, and Xiaokang Feng. 2025. "Rule-Based Control Strategy for a Novel Dual-Motor PHEV Improved by Dynamic Programming" Electronics 14, no. 7: 1450. https://doi.org/10.3390/electronics14071450

APA Style

Zou, S., Zhang, J., Yang, Y., Zhou, Y., Liu, Y., Peng, J., & Feng, X. (2025). Rule-Based Control Strategy for a Novel Dual-Motor PHEV Improved by Dynamic Programming. Electronics, 14(7), 1450. https://doi.org/10.3390/electronics14071450

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