Comparative study of energy management in parallel hybrid electric vehicles considering battery ageing

被引:36
|
作者
Zhang, Fengqi [3 ]
Xiao, Lehua [1 ]
Coskun, Serdar [2 ]
Pang, Hui
Xie, Shaobo [3 ]
Liu, Kailong [4 ]
Cui, Yahui [1 ]
机构
[1] Xian Univ Technol, Sch Mech & Precis Instrument Engn, Xian, Peoples R China
[2] Tarsus Univ, Dept Mech Engn, TR-33400 Tarsus, Mersin, Turkiye
[3] Changan Univ, Sch Automobile, Key Lab Shaanxi Prov Dev & Applicat New Transporta, Xian 710064, Shaanxi, Peoples R China
[4] Univ Warwick, WMG, Coventry CV4 7AL, England
基金
中国国家自然科学基金;
关键词
Hybrid electric vehicles; Energy management strategy; Battery ageing; Drivability; Fuel economy; PONTRYAGINS MINIMUM PRINCIPLE; PMP-BASED CONTROL; CONTROL STRATEGIES; POWER MANAGEMENT; OPTIMIZATION; REALIZATION; MODEL; ECMS; HEV;
D O I
10.1016/j.energy.2022.123219
中图分类号
O414.1 [热力学];
学科分类号
摘要
This article presents a thorough comparative study of energy management strategies (EMSs) for a par-allel hybrid electric vehicle (HEV), while the battery ageing is considered. The principle of dynamic programming (DP), Pontryagin's minimum principle (PMP), and equivalent consumption minimization strategy (ECMS) considering battery ageing is elaborated. The gearshift map is obtained from the opti-mization results in DP to prevent frequent shifts by taking into account drivability and fuel economy, which is then applied in the PMP and ECMS. Comparison of different EMSs is conducted by means of fuel economy, battery state-of-charge charge-sustainability, and computational efficiency. Moreover, battery ageing is included in the optimization solution by utilizing a control-oriented model, aiming to fulfill one of the main cost-related design concerns in the development of HEVs. Through a unified framework, the torque split and battery degradation are simultaneously optimized in this study. Simulations are carried out for DP, PMP, and ECMS to analyze their features, wherein results indicate that DP obtains the best fuel economy compared with other methods. Additionally, the difference between DP and PMP is about 2% in terms of fuel economy. The observations from analysis results provide a good insight into the merits and demerits of each approach. (c) 2022 Published by Elsevier Ltd.
引用
收藏
页数:15
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