Novel classification and review on energy management strategy forparallel hybrid electric vehicles

NIU Limin, YANG Hongyuan, ZHOU Yazhou

(College of Mechanical Engineering, Anhui University of Technology, Maanshan 243032, China)

Abstract: Aiming at the classification and summarization of energy management strategy of hybrid electric vehicle, the research status and development trend of energy management strategy for parallel hybrid electric vehicle were studied. Stateoftheart energy management strategies for parallel hybrid electric vehicles were reviewed and reclassified based on the fact that whether an artificial intelligence control methods or an optimization algorithms was used by the control strategy. The specific applications of fuzzy logic, neural network, dynamic programming and Equivalent consumption minimization strategy were also summarized lengthways. Besides, the feasibility and advantages of energy management strategy based on multiagent system were discussed. The results indicate that the intelligent optimal control strategy is an effective way to solve the HEV energy management problem, and the combination of the intelligent control algotithm and driving condition prediction technology is an important research direction in the future; In addition, the MAS technology that is applied to HEV energy management optimization is also a direction worthy of studying.

Key words: energy management; parallel hybrid electric vehicle; intelligent optimized control; multiagent system