Primal-dual Interior-point Method based Energy Distribution Optimization for Semi-active Hybrid Energy Storage System

被引：5

作者：

Wang, Rui ^{[1
]}

Peng, Jun ^{[1
]}

Zhou, Yanhui ^{[1
]}

Liao, Hongtao ^{[1
]}

Huang, Zhiwu ^{[1
]}

机构：

[1] Cent S Univ, Changsha 410075, Hunan, Peoples R China

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

关键词：

Battery; Supercapacitor; Convex optimization; dc/dc converter; Semi-active hybrid energy storage system; ELECTRIC VEHICLES; SUPERCAPACITOR; POWER;

D O I：

10.1016/j.ifacol.2017.08.2296

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the complementary characteristics of batteries and supercapacitors, different semi-active hybrid energy storage systems using just one dc/dc converter have been exploited in hybrid electric vehicles. To minimize the amplitude of the current in battery and energy loss in the system, this paper proposes an optimization scheme for the semi-active hybrid energy storage system under the traction mode and the regenerative braking mode. The energy distribution optimization is formulated as a convex problem and the primal-dual interior-point method is leveraged to acquire the optimal solution. The simulation results validate that the proposed scheme is efficient to minimize the amplitude of the current in battery with a reduced energy loss. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：14477 / 14482

页数：6

共 16 条

[1] Power-Electronics-Based Solutions for Plug-in Hybrid Electric Vehicle Energy Storage and Management Systems [J].