Rule-based Energy Management Strategy for a Parallel Hybrid Electric Vehicle deduced from Dynamic Programming

被引：0
|
作者：
Pam, Abdoulaye [1 ,2 ]
Bouscayrol, Alain [1 ]
Fiani, Philippe [2 ]
Noth, Frederic [2 ]
机构：
[1] Univ Lille 1, L2EP, F-59650 Villeneuve Dascq, France
[2] Sherpa Engn, F-92250 La Garenne Colombes, France
来源：
2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) | 2017年
关键词：
Dynamic Programming; Energy Management Strategy; Hybrid Electric Vehicles; Rule-based;
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：
To ensure the highest energy efficiency of Hybrid Electric Vehicles, optimizing their Energy Management Strategy (EMS) is required. Unfortunately, most of the methods for optimal EMS like Dynamic Programming (DP) cannot be used in real time. Rule-based EMS are well known to be easily usable in real time. The objective of this paper is to achieve a rule-based EMS of a parallel Hybrid Electric Vehicle, deduced from DP. In that aims, Energetic Macroscopic Representation of the powertrain is used to develop a backward model.
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页数：6
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