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Accurately predicting aging of lithium-ion batteries would help to prolong their lifespan, but remains a challenge owing to the complexity and interrelation of different aging mechanisms. As a result, aging prediction often relies on…

Health modeling of lithium-ion batteries (LIBs) is crucial for safe and efficient energy management and carries significant socio-economic implications. Although Machine Learning (ML)-based State of Health (SOH) estimation methods have made…

Machine Learning · Computer Science 2024-11-20 Yuyuan Feng , Guosheng Hu , Xiaodong Li , Zhihong Zhang

Accurate forecasting of lithium-ion battery capacity degradation is critical for reliable and safe operation, yet remains challenging under distribution shifts across scales and operating regimes. Here we investigate a time-series…

Artificial Intelligence · Computer Science 2026-01-01 Joey Chan , Zhen Chen , Ershun Pan

Longevity and safety of lithium-ion batteries are facilitated by efficient monitoring and adjustment of the battery operating conditions. Hence, it is crucial to implement fast and accurate algorithms for State of Health (SoH) monitoring on…

Applications · Statistics 2021-11-30 Clara Bertinelli Salucci , Azzeddine Bakdi , Ingrid K. Glad , Erik Vanem , Riccardo De Bin

Modeling lithium-ion battery (LIB) degradation offers significant cost savings and enhances the safety and reliability of electric vehicles (EVs) and battery energy storage systems (BESS). Whilst data-driven methods have received great…

Machine Learning · Computer Science 2025-01-22 James Sadler , Rizwaan Mohammed , Michael Castle , Kotub Uddin

Accurately predicting the future health of batteries is necessary to ensure reliable operation, minimise maintenance costs, and calculate the value of energy storage investments. The complex nature of degradation renders data-driven…

Applications · Statistics 2020-06-05 Robert R. Richardson , Michael A. Osborne , David A. Howey

Nickel-rich layered oxides have been widely used as positive electrode materials for high-energy-density lithium-ion batteries, but their degradation has severely affected cell performance, in particular at a high voltage and temperature.…

Materials Science · Physics 2023-04-04 Mingzhao Zhuo , Gregory Offer , Monica Marinescu

Lithium-ion batteries are widely used in various applications, including portable electronic devices, electric vehicles, and renewable energy storage systems. Accurately estimating the remaining useful life of these batteries is crucial for…

Machine Learning · Computer Science 2023-05-18 Ganesh Kumar

Electric vertical take-off and landing (eVTOL) aircraft have emerged as a promising solution to transform urban transportation. They present a few technical challenges for battery management, a prominent one of which is the prediction of…

Systems and Control · Electrical Eng. & Systems 2025-10-07 Hao Tu , Yebin Wang , Shaoshuai Mou , Huazhen Fang

Advancing lithium-ion batteries (LIBs) in both design and usage is key to promoting electrification in the coming decades to mitigate human-caused climate change. Inadequate understanding of LIB degradation is an important bottleneck that…

Machine Learning · Computer Science 2024-04-04 Jing Lin , Yu Zhang , Edwin Khoo

Carbon emissions are rising at an alarming rate, posing a significant threat to global efforts to mitigate climate change. Electric vehicles have emerged as a promising solution, but their reliance on lithium-ion batteries introduces the…

Machine Learning · Computer Science 2024-10-21 Sharv Murgai , Hrishikesh Bhagwat , Raj Abhijit Dandekar , Rajat Dandekar , Sreedath Panat

Lithium-ion cells may experience rapid degradation in later life, especially with more extreme usage protocols. The onset of rapid degradation is called the `knee point', and forecasting it is important for the safe and economically viable…

Systems and Control · Electrical Eng. & Systems 2021-08-24 Samuel Greenbank , David A. Howey

Battery degradation significantly impacts the reliability and efficiency of energy storage systems, particularly in electric vehicles and industrial applications. Predicting the remaining useful life (RUL) of lithium-ion batteries is…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Jingyuan Xue , Xiaozhen Zhao , Dongjing Jiang , Qingchong Jiao , Redouane EL Bouchtaoui , Jianfei Zhang

Fracture of lithium-ion battery electrodes is found to contribute to capacity fade and reduce the lifespan of a battery. Traditional fracture models for batteries are restricted to consideration of a single, idealised particle; here,…

Accurately measuring the cycle lifetime of commercial lithium-ion batteries is crucial for performance and technology development. We introduce a novel hybrid approach combining a physics-based equation with a self-attention model to…

Machine Learning · Computer Science 2025-05-07 Constantin-Daniel Nicolae , Sara Sameer , Nathan Sun , Karena Yan

Accurate forecasting of battery health indicators, including remaining capacity and lifetime, is of paramount importance for ensuring the reliability, safety, and operational efficiency of applications such as electric vehicles and large…

Signal Processing · Electrical Eng. & Systems 2026-05-29 Athanasios Koukosias , Vasileios Tzanidakis , Sotiris Athanasiou , Kostas Kolomvatsos

Battery degradation is governed by complex and randomized cyclic conditions, yet existing modeling and prediction frameworks usually rely on rigid, unchanging protocols that fail to capture real-world dynamics. The stochastic electrical…

Signal Processing · Electrical Eng. & Systems 2025-04-08 Yuqi Li , Han Zhang , Xiaofan Gui , Zhao Chen , Yu Li , Xiwen Chi , Quan Zhou , Shun Zheng , Ziheng Lu , Wei Xu , Jiang Bian , Liquan Chen , Hong Li

Lithium-ion batteries are recognised as a key technology to power electric vehicles and integrate grid-connected renewable energy resources. The economic viability of these applications is affected by the battery degradation during its…

Applied Physics · Physics 2020-07-07 Ahmed Gailani , Rehab Mokidm , Moaath El-Dalahmeh , Maad El-Dalahmeh , Maher Al-Greer

Lithium-ion batteries are increasingly being deployed in liberalised electricity systems, where their use is driven by economic optimisation in a specific market context. However, battery degradation depends strongly on operational profile,…

Systems and Control · Electrical Eng. & Systems 2021-03-15 Jorn M. Reniers , Grietus Mulder , David A. Howey

The state of health for lithium battery is necessary to ensure the reliability and safety for battery energy storage system. Accurate prediction battery state of health plays an extremely important role in guaranteeing safety and minimizing…

Signal Processing · Electrical Eng. & Systems 2019-04-02 Xiaoyu Li , Zhenpo Wang