Cost optimization for plug-in integration in a hybrid electric mini-excavator with mixed-integer linear programming

被引：0
|
作者：
Chauvin, Alan [1 ]
Hijazi, Alaa [1 ]
Bideaux, Eric [1 ]
Sari, Ali [2 ]
机构：
[1] Univ Lyon, INSA Lyon, Lab Ampere, UMR CNRS 5005, F-69621 Villeurbanne, France
[2] Univ Lyon 1, Lab Ampere, UMRS CNRS 5005, F-69622 Villeurbanne, France
来源：
2015 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) | 2015年
关键词：
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：
This paper presents a cost analysis of a plug-in hybrid power supply system for an electric mini-excavator using mixed-integer linear programming. The aim of this study is to find the best component sizing and the optimal control assigned in order to minimize the total cost of ownership (TCO) of the hybrid power supply system according to a predefined power cycle. The optimization problem is modeled by a combinatorial approach and solved with a Branch and Bound algorithm. The integration of a plug-in system is evaluated and compared with a non-rechargeable hybrid electric machine.
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页数：6
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