电动汽车双向充电优化中电池老化的综合考虑
Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles
摘要：
电动汽车（EV）的智能充电降低了运营成本，允许更可持续的电池使用，并促进了电动汽车的兴起。此外，双向充电和改进的连接性可实现高效的电网支持。然而，今天，不协调的充电（例如，由用户的习惯支配）仍然是常态。因此，即将到来的智能充电应用的影响大多未被探索。我们的目标是估计智能充电固有的费用，例如电池老化成本，并为进一步研究提供建议。使用典型的车载传感器数据，我们简洁地建模和验证EV电池。然后，我们将电池模型集成到一个现实的智能充电用例中，并将其与真实电动汽车充电的测量结果进行比较。结果表明，i）电池老化的温度依赖性需要精确的热模型，充电功率大于7千瓦，ii）忽略电池老化低估了电动汽车的运营成本约。30%，以及iii）基于双向电力流的车辆到电网（V2G）服务的盈利能力，例如能源套利，取决于电池老化成本和电价差。
英文摘要：
Smart charging of Electric Vehicles (EVs) reduces operating costs, allows more sustainable battery usage, and promotes the rise of electric mobility. In addition, bidirectional charging and improved connectivity enables efficient power grid support. Today, however, uncoordinated charging, e.g. governed by users' habits, is still the norm. Thus, the impact of upcoming smart charging applications is mostly unexplored. We aim to estimate the expenses inherent with smart charging, e.g. battery aging costs, and give suggestions for further research. Using typical on-board sensor data we concisely model and validate an EV battery. We then integrate the battery model into a realistic smart charging use case and compare it with measurements of real EV charging. The results show that i) the temperature dependence of battery aging requires precise thermal models for charging power greater than 7 kW, ii) disregarding battery aging underestimates EVs' operating costs by approx. 30%, and iii) the profitability of Vehicle-to-Grid (V2G) services based on bidirectional power flow, e.g. energy arbitrage, depends on battery aging costs and the electricity price spread.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
