Unlocking rapid and scalable battery diagnostics through active perturbations

IF 34.8
Yusheng Zheng, Yunhong Che, Shengyu Tao, Xiaosong Hu, Remus Teodorescu
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Abstract

Ensuring battery safety and longevity requires cost-effective and scalable diagnostics, yet these are hindered by the ‘black box’ nature of batteries and limited sensing technology. Active perturbations could elicit informative responses that improve diagnostic performance and provide mechanistic insights, unlocking rapid and interpretable diagnostics.

Abstract Image

通过主动扰动解锁快速和可扩展的电池诊断
确保电池安全和使用寿命需要具有成本效益和可扩展的诊断,但这些都受到电池“黑匣子”性质和有限的传感技术的阻碍。主动扰动可以引发信息响应,提高诊断性能,提供机制见解,解锁快速和可解释的诊断。
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