电池(电)
汽车工程
能源管理
汽车蓄电池
能源消耗
电动汽车
计算机科学
衰退
燃料效率
功率(物理)
能量(信号处理)
工程类
电气工程
电信
数学
物理
统计
量子力学
解码方法
作者
Xiaonian Wang,Siwei Ma,Jun Wang
标识
DOI:10.1177/0954407017703229
摘要
Hybrid electric vehicles offer potential for reducing the oil consumption and the generation of greenhouse gases, but they have a high battery price and short battery longevity. This paper presents an energy management strategy for power-split hybrid electric vehicles, which seeks not only to reduce the gasoline consumption but also to prolong the battery life. The instantaneous battery usage is penalized by its influence on the battery lifespan. This influence is defined by a new concept of battery ageing, i.e. the battery-fading index, which represents the ageing rate of the battery in various conditions. The multi-objective optimization problem is achieved by a model predictive control framework. The results indicate that the proposed energy management strategy effectively reduces battery fading with only a relatively small increase in the fuel consumption.
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