电池(电)
能源管理
汽车工程
最优控制
计算机科学
电动汽车
庞特里亚金最小原理
能源消耗
控制(管理)
燃料效率
能量(信号处理)
控制工程
数学优化
控制理论(社会学)
工程类
电气工程
功率(物理)
数学
人工智能
统计
物理
量子力学
作者
Lorenzo Serrao,Simona Onori,Antonio Sciarretta,Yann Guezennec,Giorgio Rizzoni
标识
DOI:10.1109/acc.2011.5991576
摘要
The paper presents a methodology to account for battery aging in the energy management strategy for a hybrid electric vehicle. An optimal control problem is formulated to minimize fuel consumption as well as battery aging, using recently developed methods for battery lifetime modeling. The approach relies on the concept of severity factor map, a tool used to quantify the aging effects of a battery due to its different on-vehicle operating conditions. The optimal control problem is solved using Pontryagin's Minimum Principle, showing with simulations the effect of the new control approach compared to the standard energy management strategies.
科研通智能强力驱动
Strongly Powered by AbleSci AI