版权说明 操作指南
首页 > 成果 > 详情

COST-OPTIMAL ENERGY MANAGEMENT OF HYBRID ELECTRIC VEHICLES USING FUEL CELL/BATTERY HEALTH-AWARE PREDICTIVE CONTROL

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Hu, Xiaosong;Zou, Changfu*;Tang, Xiaolin*;Liu, Teng;Hu, Lin
通讯作者:
Tang, Xiaolin;Zou, Changfu
作者机构:
[Hu, Xiaosong; Liu, Teng; Tang, Xiaolin] Chongqing Univ, Dept Automot Engn, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China.
[Hu, Xiaosong] Cranfield Univ, Adv Vehicle Engn Ctr, Cranfield MK43 0AL, Beds, England.
[Zou, Changfu] Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden.
[Liu, Teng] Univ Waterloo, Mech & Mechatron Engn Dept, Waterloo, ON N2L 3G1, Canada.
[Hu, Lin] Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410205, Peoples R China.
通讯机构:
[Tang, Xiaolin; Zou, Changfu] C
Chongqing Univ, Dept Automot Engn, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China.
Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden.
语种:
英文
关键词:
Batteries;energy management;fuel cell;hybrid electric vehicle (HEV);predictive control;sustainable transport
期刊:
IEEE Transactions on Power Electronics
ISSN:
0885-8993
年:
2020
卷:
35
期:
1
页码:
382-392
基金类别:
Manuscript received January 17, 2019; revised March 30, 2019; accepted May 3, 2019. Date of publication May 7, 2019; date of current version October 18, 2019. This work was supported in part by the EU-funded Marie Sklodowska-Curie Individual Fellowships (IF) Project under Grant 706253-pPHEV-H2020-MSCA-IF-2015. The work of L. Hu was supported by the National Natural Science Foundation of China project under Grant 51875049. Recommended for publication by Associate Editor R. Zane. (Corresponding authors: Changfu Zou and Xiaolin Tang.) X. Hu is with the State Key Laboratory for Mechanical Transmission Department of Automotive Engineering, Chongqing University, Chongqing 400044, China, and also with the Advanced Vehicle Engineering Centre, Cranfield Uiv-ersity, MK43 0AL Cranfield, U.K. (e-mail: xiaosonghu@ieee.org).
机构署名:
本校为其他机构
院系归属:
汽车与机械工程学院
摘要:
Energy management is an enabling technology for increasing the economy of fuel cell/battery hybrid electric vehicles. Existing efforts mostly focus on optimization of a certain control objective (e.g., hydrogen consumption), without sufficiently considering the implications for on-board power sources degradation. To address this deficiency, this article proposes a cost-optimal, predictive energy management strategy, with an explicit consciousness of degradation of both fuel cell and battery systems. Specifically, we contribute two main points to the relevant literature, with the purpose of dis...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com