L. M. Knott, E. Long, C. P. Garner, A. Fly, B. Reid, A. Atkins
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Subsequently, DEIS was analysed using combined SOC and temperature variations during active charging. The study employed a commercial 450 mAh lithium-ion (Li-ion) cobalt oxide (LCO) graphite pouch cell, subject to a 1C constant current (CC)–constant voltage (CCCV) charge for SSEIS and CC charge for DEIS, with SOC ranging from 50% to 100% and cell temperatures from 10 to 35°C. The research developed models to interpolate battery impedance data, demonstrating accurate impedance predictions across operating conditions. Findings revealed significant differences between dynamic data and steady-state results, with DEIS more accurately reflecting real-use scenarios where the battery is not at equilibrium and exhibits concentration gradients. 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引用次数: 0
摘要
了解并准确确定电池单元特性对于评估电池性能至关重要。电化学阻抗光谱(EIS)通常用于评估这些特性,通常是在受控实验室条件下进行稳态测量。传统的稳态 EIS(SSEIS)要求电池处于静止状态,以确保线性响应。然而,在电动汽车(EV)等实际应用中,电池会面临不同的充电状态(SOC)和温度波动,而且往往同时发生。本研究从电池特性和阻抗的角度研究了 SOC 和温度对 EIS 的影响。首先,在温度不断变化的情况下,将 SSEIS 结果与充满电后的动态 EIS(DEIS)结果进行比较。随后,在主动充电过程中结合 SOC 和温度变化对 DEIS 进行了分析。该研究采用了一个 450 mAh 的商用锂离子(Li-ion)氧化钴(LCO)石墨袋电池,在 SOC 为 50% 到 100% 和电池温度为 10 到 35°C 的情况下,对 SSEIS 采用 1C 恒定电流(CC)-恒定电压(CCCV)充电,对 DEIS 采用 CC 充电。研究开发了用于插值电池阻抗数据的模型,证明了在各种操作条件下阻抗预测的准确性。研究结果表明,动态数据与稳态结果之间存在显著差异,DEIS 更准确地反映了实际使用场景,即电池并非处于平衡状态,而是呈现浓度梯度。这些模型有望应用于电动汽车的电池管理系统(BMS),通过预测电阻和电容的变化实现健康评估,从而确保电池单元的使用寿命和最佳性能。
Insights Into Lithium-Ion Battery Cell Temperature and State of Charge Using Dynamic Electrochemical Impedance Spectroscopy
Understanding and accurately determining battery cell properties is crucial for assessing battery capabilities. Electrochemical impedance spectroscopy (EIS) is commonly employed to evaluate these properties, typically under controlled laboratory conditions with steady-state measurements. Traditional steady-state EIS (SSEIS) requires the battery to be at rest to ensure a linear response. However, real-world applications, such as electric vehicles (EVs), expose batteries to varying states of charge (SOC) and temperature fluctuations, often occurring simultaneously. This study investigates the impact of SOC and temperature on EIS in terms of battery properties and impedance. Initially, SSEIS results were compared with dynamic EIS (DEIS) outcomes after a full charge under changing temperatures. Subsequently, DEIS was analysed using combined SOC and temperature variations during active charging. The study employed a commercial 450 mAh lithium-ion (Li-ion) cobalt oxide (LCO) graphite pouch cell, subject to a 1C constant current (CC)–constant voltage (CCCV) charge for SSEIS and CC charge for DEIS, with SOC ranging from 50% to 100% and cell temperatures from 10 to 35°C. The research developed models to interpolate battery impedance data, demonstrating accurate impedance predictions across operating conditions. Findings revealed significant differences between dynamic data and steady-state results, with DEIS more accurately reflecting real-use scenarios where the battery is not at equilibrium and exhibits concentration gradients. These models have potential applications in battery management systems (BMSs) for EVs, enabling health assessments by predicting resistance and capacitance changes, thereby ensuring battery cells’ longevity and optimal performance.
期刊介绍:
The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability.
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