An Optimal Control-Based Strategy for Energy Management of Electric Vehicles using Battery/Supercapacitor

被引：0

作者：

Bao-Huy Nguyen ^{[1
,2
,3
]}

Trovao, Joao P. ^{[1
]}

German, Ronan ^{[2
,3
]}

Bouscayrol, Alain ^{[2
,3
]}

机构：

[1] Univ Sherbrooke, E TESC Lab, Sherbrooke, PQ J1K 2R1, Canada

[2] Univ Lille, Lab Electrotech & Elect Puissance L2EP, EA 2697, Cent Lille,Arts & Metiers Paris Tech,HEI, F-59000 Lille, France

[3] French Sci Network Hybrid & Elect Vehicles, MEGEVH, Toulouse, France

来源：

2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) | 2017年

关键词：

Optimal control; energy management strategy; battery; supercapacitor; hybrid energy storage systems; STORAGE-SYSTEM; TIME; OPTIMIZATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Energy management strategies are mandatory for hybrid energy storage systems in applications for electric and hybrid vehicles. Optimization-based real-time strategies are of interest since they are straightforward to optimize performance criteria. The available methods are often the combinations of adaptive mechanisms with solutions deduced by optimal control techniques such as Pontryagin's minimum principle (PMP). This paper proposes an approach to develop a real-time strategy for battery/ supercapacitor systems based on PMP and Energetic Macroscopic Representation without any need of adaptive mechanism for the co-state variable. Performances of the proposed strategy are validated by simulation.

引用

页数：6

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