Integrated Optimization of Battery Sizing, Charging, and Power Management in Plug-In Hybrid Electric Vehicles

被引:170
|
作者
Hu, Xiaosong [1 ,2 ]
Moura, Scott J. [2 ]
Murgovski, Nikolce [3 ]
Egardt, Bo [3 ]
Cao, Dongpu [4 ]
机构
[1] Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr, Beijing 100044, Peoples R China
[2] Univ Calif Berkeley, Energy Controls & Applicat Lab, Berkeley, CA 94720 USA
[3] Chalmers Univ Technol, Dept Signals & Syst, S-41296 Gothenburg, Sweden
[4] Cranfield Univ, Ctr Automot Engn, Bedford MK43 0AL, England
关键词
Charging control; component sizing; convex optimization; energy management; plug-in hybrid electric vehicle (PHEV); sustainable transportation; SUPERVISORY CONTROL STRATEGIES; ENERGY MANAGEMENT;
D O I
10.1109/TCST.2015.2476799
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This brief presents an integrated optimization framework for battery sizing, charging, and on-road power management in plug-in hybrid electric vehicles. This framework utilizes convex programming to assess interactions between the three optimal design/control tasks. The objective is to minimize carbon dioxide (CO2) emissions, from the on-board internal combustion engine and grid generation plants providing electrical recharge power. The impacts of varying daily grid CO2 trajectories on both the optimal battery size and charging/power management algorithms are analyzed. We find that the level of grid CO2 emissions can significantly impact the nature of emission-optimal on-road power management. We also observe that the on-road power management strategy is the most important design task for minimizing emissions, through a variety of comparative studies.
引用
收藏
页码:1036 / 1043
页数:8
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