Electric vehicle charge optimization including effects of lithium-ion battery degradation

A. Hoke, A. Brissette, D. Maksimović, A. Pratt, K. Smith
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引用次数: 158

Abstract

This paper presents a method for minimizing the cost of electric vehicle (EV) charging given variable electricity costs while also accounting for estimated costs of battery degradation using a simplified lithium-ion battery lifetime model. The simple battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model [6], which in turn has been validated through comparison to experimental data. The simple model runs quickly in a MATLAB script, allowing for iterative numerical minimization of charge cost. EV charge profiles optimized as described here show a compromise among four trends: charging during low-electricity cost intervals, charging slowly, charging towards the end of the available charge time, and suppression of vehicle-to-grid power exportation. Finally, simulations predict that batteries charged using optimized charging last longer than those charged using typical charging methods, potentially allowing smaller, cheaper batteries to meet vehicle lifetime requirements.
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包括锂离子电池退化影响的电动汽车充电优化
本文提出了一种方法,在给定可变电力成本的情况下,最小化电动汽车(EV)充电成本,同时使用简化的锂离子电池寿命模型计算电池退化的估计成本。简单的电池寿命模型,也在这里开发和介绍,估计能量容量衰减和功率衰减由于温度,充电状态和每日放电深度。该模型通过与详细模型[6]的对比得到了验证,详细模型又通过与实验数据的对比得到了验证。简单的模型在MATLAB脚本中快速运行,允许迭代的电荷成本数值最小化。本文所描述的优化后的电动汽车充电曲线显示了四种趋势之间的折衷:在低电力成本间隔充电、缓慢充电、在可用充电时间结束时充电,以及抑制车辆到电网的电力输出。最后,模拟预测,使用优化充电方式充电的电池比使用传统充电方式充电的电池续航时间更长,从而有可能使更小、更便宜的电池满足车辆寿命要求。
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