A lightweight two-stage physics-informed neural network for SOH estimation of lithium-ion batteries with different chemistries

Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

Jiangong Zhu, Yixiu Wang, Yuan Huang et al. · Nature Communications · 2022 · 732 citations · Full text

Engineering, Chemical Engineering, Computer Science +15

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis

Fujin Wang, Zhi Zhai, Zhibin Zhao et al. · Nature Communications · 2024 · 607 citations · Full text

Engineering, Computer Science, Physics +17

A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation

Jie Li, Kasim Adewuyi, Nima Lotfi et al. · Applied Energy · 2018 · 595 citations

Engineering, Materials Engineering, Materials Science +16

Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles

Yi‐Hsien Chiang, Wu‐Yang Sean, Jia-Cheng Ke · Journal of Power Sources · 2011 · 393 citations

Engineering, Chemical Engineering, Electrical Engineering +17

Review of battery state estimation methods for electric vehicles - Part I: SOC estimation

Osman Demirci, Sezai Taşkın, Erik Schaltz et al. · Journal of Energy Storage · 2024 · 262 citations · Full text

Engineering, Automotive Engineering, Electrical Engineering +14