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超越驾驶循环:描绘不同环境和驾驶条件下电动汽车电池健康状况的复杂性。

Beyond drive cycles: mapping the intricacies of electric vehicle battery health in diverse environments and driving conditions.

作者信息

Mulpuri Sai Krishna, Sah Bikash, Kumar Praveen

机构信息

Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati Assam 781039 India

Chair of Interconnected Automation Systems, University of Siegen Hölderlinstrasse 3, Building A Siegen 57076 Germany

出版信息

RSC Adv. 2025 Aug 29;15(38):30980-31004. doi: 10.1039/d5ra04379d.

Abstract

As electric two-wheelers become increasingly prevalent in emerging markets, understanding the real-world degradation of their batteries is crucial for ensuring reliability, longevity, and cost-effectiveness. Traditional battery aging studies are heavily based on standard drive cycles that do not capture the variability introduced by diverse user behaviors, regional conditions, and charging habits. This study proposes a comprehensive and adaptable framework for evaluating the end-of-life (EOL) of EV batteries in realistic usage scenarios. The methodology incorporates key metrics of the drive cycle, including acceleration patterns, rest periods, charging frequency, and rates, in multiple daily driving scenarios, three distinct geographic regions, and varying climatic conditions. By linking these operational parameters to electrochemical degradation phenomena, this work reveals the critical influence of user-specific behavior on capacity fade. The insights generated are not only scientifically grounded but also practically relevant to stakeholders across the EV ecosystem. For cell and vehicle OEMs, the findings support region-specific cell design and lifecycle prediction; for EV users, the study offers a clearer understanding of how personal usage affects battery health. Ultimately, this work bridges the gap between lab-scale testing and real-world degradation, paving the way for smarter battery design, personalized usage strategies, and sustainable EV adoption.

摘要

随着电动两轮车在新兴市场越来越普遍,了解其电池在实际使用中的性能衰退情况对于确保可靠性、使用寿命和成本效益至关重要。传统的电池老化研究严重依赖标准驾驶循环,而这些循环无法捕捉不同用户行为、地区条件和充电习惯所带来的变化。本研究提出了一个全面且适应性强的框架,用于评估电动汽车电池在实际使用场景中的报废(EOL)情况。该方法在多个日常驾驶场景、三个不同地理区域以及不同气候条件下,纳入了驾驶循环的关键指标,包括加速模式、休息时间、充电频率和充电速率。通过将这些运行参数与电化学退化现象联系起来,这项工作揭示了特定用户行为对容量衰减的关键影响。所产生的见解不仅有科学依据,而且对整个电动汽车生态系统的利益相关者具有实际意义。对于电池和车辆原始设备制造商而言,研究结果有助于进行特定地区的电池设计和生命周期预测;对于电动汽车用户来说,该研究能让他们更清楚地了解个人使用方式如何影响电池健康状况。最终,这项工作弥合了实验室规模测试与实际使用中性能衰退之间的差距,为更智能的电池设计、个性化使用策略以及电动汽车的可持续应用铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3560/12395550/78611b388376/d5ra04379d-f1.jpg

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