Advanced Power-Source Integration in Hybrid Electric Vehicles: Multicriteria Optimization Approach

被引:149
作者
Hu, Xiaosong [1 ,2 ]
Jiang, Jiuchun [1 ]
Egardt, Bo [3 ]
Cao, Dongpu [4 ]
机构
[1] Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr, Beijing 100044, Peoples R China
[2] Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA
[3] Chalmers Univ Technol, Dept Signals & Syst, S-41296 Gothenburg, Sweden
[4] Cranfield Univ, Ctr Automot Engn, Bedford MK43 0AL, England
关键词
Component sizing; convex optimization; energy management; fuel cell; hybrid vehicle; multicriteria optimization; FUEL-CELL HYBRID; ENERGY MANAGEMENT; BATTERY; DESIGN; MACHINES; SYSTEM; MODEL; STACK;
D O I
10.1109/TIE.2015.2463770
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
System integration and power-flow control of on-board power sources are critical to the performance and cost competitiveness of hybrid electric vehicles (HEVs). The existing methods mostly focus on fuel minimization in hybrid powertrains, while disregarding many other concerns. This article presents an innovative multicriteria optimization approach and showcases its validity and usefulness in a case study of a fuel-cell hybrid bus. Three key technical contributions are made. First, a convex multicriteria optimization framework is devised for quickly and efficiently evaluating the optimal tradeoffs between the fuel-cell durability and hydrogen economy in the bus, as well as the corresponding fuel-cell dimension. Second, the impact of driving pattern on both the optimal fuel-cell size and Pareto optimality is investigated by considering discrepant driving schedules. Finally, a preliminary but useful economic assessment in both current and future scenarios is performed to explore the most cost-effective tradeoff.
引用
收藏
页码:7847 / 7858
页数:12
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