论文标题

碳吸收电动汽车充电

Carbon-Aware EV Charging

论文作者

Cheng, Kai-Wen, Bian, Yuexin, Shi, Yuanyuan, Chen, Yize

论文摘要

本文通过考虑实时电网碳强度来研究优化电动汽车(EV)的充电模式的问题。提议的充电方案的目的是最大程度地减少通过电动汽车充电事件造成的碳排放,同时满足EV用户的充电时间表,充电站变压器限制和电池物理限制所带来的约束。本文使用现实世界中的电动汽车充电数据和加利福尼亚的发电记录,表明我们的碳意识实时充电计划平均节省了碳排放的3.81%,同时提供了令人满意的能源。此外,通过使用自适应平衡因子,我们可以平均降低26.00%的碳排放量,同时损害传递总能量的12.61%。

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.

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