Predictive energy management for hybrid electric vehicles considering extension of the battery life
Predictive energy management for hybrid electric vehicles considering extension of the battery life
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考虑延长电池寿命的混合动力电动汽车预测能量管理
DOI：
10.1177/0954407017703229
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发表时间：
2018-03
期刊：
影响因子：
--
通讯作者：
Wang Jun
中科院分区：
文献类型：
--
作者：
Wang Xiaonian;Ma Siwei;Wang Jun
混合动力汽车在减少石油消耗和温室气体排放方面具有潜力，但它们的电池价格较高，电池寿命较短。本文提出了一种动力分流混合动力汽车的能量管理策略，该策略不仅寻求降低汽油消耗，而且还寻求延长电池寿命。瞬时电池使用量因其对电池寿命的影响而受到影响。这种影响是由一个新的电池老化概念定义的，即电池衰退指数，它代表了电池在各种条件下的老化速度。通过模型预测控制框架实现了多目标优化问题。结果表明，所提出的能量管理策略在不增加燃料消耗的情况下，有效地减少了电池的衰减。
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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DOI：
10.1177/0954407015603855
发表时间：
2016-07
期刊：
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
影响因子：
--
作者：
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DOI：
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发表时间：
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期刊：
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DOI：
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发表时间：
2016-01
期刊：
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
影响因子：
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影响因子：
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DOI：
10.1177/0954407013512289
发表时间：
2014-06
期刊：
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
影响因子：
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作者：
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通讯作者：
Xiaohua Ye;ZhenHua Jin;Xiaosong Hu;Qingchun Lu