Toward a BMS2 Design Framework: Adaptive Data-Driven State-of-Health Estimation for Second-Life Batteries With BIBO Stability Guarantees

IF 8.3 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Xiaofan Cui;Muhammad Aadil Khan;Surinder Singh;Ratnesh Sharma;Simona Onori
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引用次数: 0

Abstract

A key challenge that is currently hindering the widespread use of retired electric vehicle (EV) batteries for second-life (SL) applications is the ability to accurately estimate and monitor their state of health (SOH). SL battery systems can be sourced from different battery packs with a lack of knowledge of their historical usage. Accurate SOH estimation is critical because it enables reliable performance, safety, and optimal utilization of SL batteries, ensuring they meet the requirements of various applications including grid energy storage and backup power. In this work, for in-the-field use of SL batteries, we introduce an online adaptive health estimation approach with the guarantees of bounded-input, bounded-output (BIBO) stability. This method relies exclusively on operational data that can be accessed in real-time from SL batteries. The effectiveness of the proposed approach is shown on a laboratory-aged experimental dataset of retired EV batteries.
迈向BMS2设计框架:具有BIBO稳定性保证的二次寿命电池的自适应数据驱动健康状态估计
目前,阻碍退役电动汽车(EV)电池在二次寿命(SL)应用中广泛使用的一个关键挑战是能否准确估计和监测其健康状态(SOH)。由于缺乏对其历史使用情况的了解,SL电池系统可能来自不同的电池组。准确的SOH估计至关重要,因为它可以实现SL电池的可靠性能、安全性和最佳利用率,确保它们满足各种应用的要求,包括电网储能和备用电源。在这项工作中,我们引入了一种在线自适应健康估计方法,保证了有界输入,有界输出(BIBO)的稳定性。这种方法完全依赖于可以从SL电池实时访问的操作数据。在退役电动汽车电池的实验室老化实验数据集上验证了该方法的有效性。
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来源期刊
IEEE Transactions on Transportation Electrification
IEEE Transactions on Transportation Electrification Engineering-Electrical and Electronic Engineering
CiteScore
12.20
自引率
15.70%
发文量
449
期刊介绍: IEEE Transactions on Transportation Electrification is focused on components, sub-systems, systems, standards, and grid interface technologies related to power and energy conversion, propulsion, and actuation for all types of electrified vehicles including on-road, off-road, off-highway, and rail vehicles, airplanes, and ships.
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