Adaptive energy management in automated hybrid electric vehicles with flexible torque request. (1st January 2021)

• Record Type: Journal Article
• Authors: Zhang, Fengqi; Hu, Xiaosong; Langari, Reza; Wang, Lihua; Cui, Yahui; Pang, Hui
• Is Part Of: Energy. Volume 214(2021)
• Publication Date: 2021-01-01
• Subjects: Hybrid electric vehicles -- Energy management strategy -- Equivalent consumption minimization strategy (ECMS) -- Vehicle electrification -- Vehicle automation; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2020.118873
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Rapidly-evolving technologies for vehicle electrification and automation offer increased opportunities to enhance the performance and efficiency of energy management strategies for automated hybrid electric vehicles (A-HEVs). In this context, an adaptive energy management approach based on an equivalent consumption minimization strategy (ECMS) framework is developed to optimize gearshift commands and torque distribution for an automated parallel HEV. This methodology utilizes the emerging idea of flexible torque request by considering drivability and fuel economy simultaneously. The gearshift map is extracted from optimal results with ECMS, as treated in the dynamic programming (DP)-based strategy, to avoid frequent gearshift events thereby considering both drivability and fuel economy. An adaptive energy management strategy with flexible torque request is then reformulated by a modified ECMS, seeking better performance for the powertrain optimization. As a result, utilizing the flexible torque request, the torque distribution and gearshift commands are jointly optimized in the same framework. A sensitivity study for different parameters is explored, and adaptation laws of the main parameters are also devised for the proposed approach. Finally, simulations are performed in two driving cases to demonstrate the effectiveness of the proposed method. Results confirm that the proposed methodology produces a promising fuel efficiency, relative to the one with fixed torque request, while ensuring good drivability and traffic efficiency. Highlights: Adaptive energy management is devised for an automated parallel HEV. Flexible torque request is incorporated. Gearshift map is extracted considering drivability and fuel economy. Adaptation law is synthesized to attain better control performance. Advantages of the proposed method are demonstrated versus existing efforts.