Unlocking rapid and scalable battery diagnostics through active perturbations
Other text in scientific journal, 2026
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.
Author
Yusheng Zheng
Aalborg University
Yunhong Che
Massachusetts Institute of Technology (MIT)
Aalborg University
Shengyu Tao
Chalmers, Electrical Engineering, Systems and control
Xiaosong Hu
Chongqing University
Remus Teodorescu
Aalborg University
Nature Reviews Electrical Engineering
2948-1201 (ISSN)
Vol. In PressSubject Categories (SSIF 2025)
Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1038/s44287-026-00261-2