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Battery health management is heavily dependent on reliable State-of-Health (SoH) estimation to ensure battery safety with maximized energy utilization. Although SoH estimation can effectively track battery degradation, it requires…

Systems and Control · Electrical Eng. & Systems 2026-04-02 Sanchita Ghosh , Tanushree Roy

Accurate state-of-health (SOH) estimation is critical to guarantee the safety, efficiency and reliability of battery-powered applications. Most SOH estimation methods focus on the 0-100\% full state-of-charge (SOC) range that has similar…

Machine Learning · Computer Science 2023-04-12 Xin Chen , Yuwen Qin , Weidong Zhao , Qiming Yang , Ningbo Cai , Kai Wu

Accurate remaining useful life (RUL) prediction hinges on the quality of health indicators (HIs), yet existing methods often fail to disentangle complex degradation mechanisms in multi-sensor systems or quantify uncertainty in HI…

Machine Learning · Computer Science 2025-12-01 Lucas Thil , Jesse Read , Rim Kaddah , Guillaume Doquet

Higher energy density and longer lifetime are the requirements for next-generation lithium-ion batteries. A promising anode material is silicon, which offers high specific capacity, but its significant volume change during lithiation and…

Lithium-ion batteries are widely used in various applications, including electric vehicles and renewable energy storage. The prediction of the remaining useful life (RUL) of batteries is crucial for ensuring reliable and efficient…

Machine Learning · Computer Science 2024-06-07 Sungho Suh , Dhruv Aditya Mittal , Hymalai Bello , Bo Zhou , Mayank Shekhar Jha , Paul Lukowicz

Accurate prediction of lithium-ion battery remaining useful life (RUL) is essential for reliable health monitoring and data-driven analysis of battery degradation. However, the robustness and generalization capabilities of existing RUL…

Machine Learning · Computer Science 2026-03-31 Yun Tian , Guili Wang , Jian Bi , Kaixin Han , Chenglu Wu , Zhiyi Lu , Chenhao Li , Liangwang Sun , Minyu Zhou , Chenchen Xu

Accurate battery lifetime prediction is important for preventative maintenance, warranties, and improved cell design and manufacturing. However, manufacturing variability and usage-dependent degradation make life prediction challenging.…

Machine Learning · Computer Science 2024-04-23 Tingkai Li , Zihao Zhou , Adam Thelen , David Howey , Chao Hu

The reliability and safety of Lithium-ion batteries (LiBs) are of great concern in the energy storage industry. Nevertheless, the real-time monitoring of their degradation remains challenging due to limited quantitative metrics available…

Lithium-ion batteries have become an indispensable part of human industrial production and daily life. For the safe use, management and maintenance of lithium-ion batteries, the state of health (SOH) of lithium-ion batteries is an important…

Systems and Control · Electrical Eng. & Systems 2025-04-01 Chenyu Jia , Guangshu Xia , Yuanhao Shi , Jianfang Jia , Jie Wen , Jianchao Zeng

Electric Vehicle (EV) penetration and renewable energies enables synergies between energy supply, vehicle users, and the mobility sector. However, also new issues arise for car manufacturers: During charging and discharging of EV batteries…

Other Computer Science · Computer Science 2019-10-17 Karl Schwenk , Tim Harr , René Großmann , Riccardo Remo Appino , Veit Hagenmeyer , Ralf Mikut

Health evaluation for lithium-ion batteries (LIBs) typically relies on constant charging/discharging protocols, often neglecting scenarios involving dynamic current profiles prevalent in electric vehicles. Conventional health indicators for…

Machine Learning · Computer Science 2025-03-12 J. C. Chen

Ubiquitous use of lithium-ion batteries across multiple industries presents an opportunity to explore cost saving initiatives as the price to performance ratio continually decreases in a competitive environment. Manufacturers using…

Signal Processing · Electrical Eng. & Systems 2021-10-20 Anmol Singh , Caitlin Feltner , Jamie Peck , Kurt I. Kuhn

The rapid adoption of battery-powered vehicles and energy storage systems over the past decade has made battery health monitoring increasingly critical. Batteries play a central role in the efficiency and safety of these systems, yet they…

Machine Learning · Computer Science 2025-11-18 Janak M. Patel , Milad Ramezankhani , Anirudh Deodhar , Dagnachew Birru

The remaining Useful Life (RUL) of equipment is defined as the duration between the current time and its failure. An accurate and reliable prognostic of the remaining useful life provides decision-makers with valuable information to adopt…

Machine Learning · Computer Science 2021-05-27 Alaaeddine Chaoub , Alexandre Voisin , Christophe Cerisara , Benoît Iung

A key challenge that is currently hindering the widespread use of retired electric vehicle (EV) batteries for second-life (SL) applications is the ability to accurately estimate and monitor their state of health (SOH). Second-life battery…

Systems and Control · Electrical Eng. & Systems 2024-07-16 Xiaofan Cui , Muhammad Aadil Khan , Surinder Singh , Ratnesh Sharma , Simona Onori

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

Prognostic and Health Management (PHM) has been widely applied to hardware systems in the electronics and non-electronics domains but has not been explored for software. While software does not decay over time, it can degrade over release…

Software Engineering · Computer Science 2023-07-25 Ray Islam , Peter Sandborn

Designing lithium-ion batteries for long service life remains a challenge, as most cells are optimized for beginning-of-life metrics such as energy density, often overlooking how design and operating conditions shape degradation. This work…

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

The state of health (SOH) estimation plays an essential role in battery-powered applications to avoid unexpected breakdowns due to battery capacity fading. However, few studies have paid attention to the problem of uneven length of…

Machine Learning · Computer Science 2021-09-29 Kate Qi Zhou , Yan Qin , Billy Pik Lik Lau , Chau Yuen , Stefan Adams