Mode shift map design and integrated energy management control of a multi-mode hybrid electric vehicle. (15th October 2017)

• Record Type: Journal Article
• Authors: Zhuang, Weichao; Zhang, Xiaowu; Li, Daofei; Wang, Liangmo; Yin, Guodong
• Is Part Of: Applied energy. Volume 204(2017)
• Page Start: 476
• Page End: 488
• Publication Date: 2017-10-15
• Subjects: Hybrid electric vehicles -- Multi-mode -- Mode shift -- Dynamic programming -- Equivalent consumption minimization strategy; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2017.07.059
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: Dynamic programming is used to optimize the energy management of multi-mode HEV. Mode shift frequency and energy losses during mode transition are considered. Working points of each mode for multi-mode HEV are extracted. Mode shift map of the charge-sustained mode is designed through the support vector machine. Combine the optimized mode shift map with equivalent consumption minimization strategy. Abstract: Multi-mode hybrid electric vehicles (HEVs) have become popular in recent years because of their high efficiency and excellent overall performance. However, the introduction of multiple operating modes has led to some issues, e.g., mode shift problems, which are not observed in conventional HEVs with a single mode. Similar to a gear shift map in conventional vehicles, the mode shift map in multi-mode HEVs needs to be properly designed. In this study, the energy management algorithm of a multi-mode HEV is optimized using dynamic programming (DP) considering the mode shift frequency and energy losses. A mode shift map is then extracted from the operating points of the DP results using the support vector machine (SVM). By combining the derived mode shift map and the equivalent consumption minimization strategy (ECMS), a real-time control strategy is proposed for the online energy management of the multi-mode HEV. The results of a case study show the effectiveness of the proposed mode shift map and energy management strategy.