Carbon-Aware EV Charging

Kai-wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen
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引用次数: 1

Abstract

This paper examines the problem of optimizing the charging pattern of electric vehicles (EV) by taking real-time electricity grid carbon intensity into consideration. The objective of the proposed charging scheme is to minimize the carbon emissions contributed by EV charging events, while simultaneously satisfying constraints posed by EV user's charging schedules, charging station transformer limits, and battery physical constraints. Using real-world EV charging data and California electricity generation records, this paper shows that our carbon-aware real-time charging scheme saves an average of 3.81% of carbon emission while delivering satisfactory amount of energy. Furthermore, by using an adaptive balanced factor, we can reduce 26.00% of carbon emission on average while compromising 12.61% of total energy delivered.
节能电动汽车充电
本文研究了考虑实时电网碳强度的电动汽车充电模式优化问题。该充电方案的目标是在满足电动汽车用户充电计划、充电站变压器限制和电池物理约束的同时,最大限度地减少电动汽车充电事件对碳排放的贡献。利用真实的电动汽车充电数据和加利福尼亚州的发电记录,本文表明,我们的碳感知实时充电方案在提供令人满意的能量的同时,平均节省了3.81%的碳排放。此外,通过使用自适应平衡因子,我们可以平均减少26.00%的碳排放,同时减少12.61%的总能源交付。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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