The role and application of convex modeling and optimization in electrified vehicles

被引:24
|
作者
Li, Yapeng [1 ]
Tang, Xiaolin [1 ]
Lin, Xianke [2 ]
Grzesiak, Lech [3 ]
Hu, Xiaosong [1 ]
机构
[1] Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing 400044, Peoples R China
[2] Ontario Tech Univ, Dept Automot Mech & Mfg Engn, Oshawa, ON L1G 0C5, Canada
[3] Warsaw Univ Technol, Inst Control & Ind Elect, PL-00662 Warsaw, Masovian, Poland
来源
基金
中国国家自然科学基金;
关键词
Component sizing; Energy management; Electrified powertrains; Convex optimization; ENERGY MANAGEMENT; POWER MANAGEMENT; PREDICTIVE CONTROL; HYBRID BUS; STRATEGIES;
D O I
10.1016/j.rser.2021.111796
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Component sizing and energy management are essential for minimizing vehicle costs and maximizing energy efficiency in electrified vehicles. Usually, a hierarchical optimization framework is used to solve the component sizing problem. The possible component sizes are enumerated in the outer loop, and their effectiveness is assessed in the inner loop. When optimizing energy consumption, highly robust and effective energy management strategies are important for both individual vehicles and vehicle platoons. Convex optimization has become an effective and important method to solve multi-dimensional problems due to its computational efficiency. In this paper, we reviewed the component sizing and energy management issues in electrified vehicles and summarized a variety of convex optimization methods for solving these problems. The prospects and future trends of the convex optimization method in the design and control of electrified vehicles were presented and discussed.
引用
收藏
页数:12
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