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Lithium-ion batteries are ubiquitous in modern day applications ranging from portable electronics to electric vehicles. Irrespective of the application, reliable real-time estimation of battery state of health (SOH) by on-board computers is…

Machine Learning · Computer Science 2021-02-02 Darius Roman , Saurabh Saxena , Valentin Robu , Michael Pecht , David Flynn

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

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

The degradation process of lithium-ion batteries is intricately linked to their entire lifecycle as power sources and energy storage devices, encompassing aspects such as performance delivery and cycling utilization. Consequently, the…

Machine Learning · Computer Science 2023-08-16 Yue Xiang , Bo Jiang , Haifeng Dai

A Battery Cloud or cloud battery management system leverages the cloud computational power and data storage to improve battery safety, performance, and economy. This work will present the Battery Cloud that collects measured battery data…

Systems and Control · Electrical Eng. & Systems 2022-05-13 Xiaojun Li , David Jauernig , Mengzhu Gao , Trevor Jones

The increased deployment of intermittent renewable energy generators opens up opportunities for grid-connected energy storage. Batteries offer significant flexibility but are relatively expensive at present. Battery lifetime is a key factor…

Systems and Control · Computer Science 2018-02-21 Jorn M. Reniers , Grietus Mulder , Sina Ober-Blobaum , David A. Howey

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

Battery Life Prediction (BLP), which relies on time series data produced by battery degradation tests, is crucial for battery utilization, optimization, and production. Despite impressive advancements, this research area faces three key…

Machine Learning · Computer Science 2025-11-13 Ruifeng Tan , Weixiang Hong , Jiayue Tang , Xibin Lu , Ruijun Ma , Xiang Zheng , Jia Li , Jiaqiang Huang , Tong-Yi Zhang

Since the depletion of fossil fuels, the world has started to rely heavily on renewable sources of energy. With every passing year, our dependency on the renewable sources of energy is increasing exponentially. As a result, complex and…

Machine Learning · Computer Science 2021-04-27 Yasir Saleem Afridi , Kashif Ahmad , Laiq Hassan

Non-invasive estimation of Li-ion battery state-of-health from operational data is valuable for battery applications, but remains challenging. Pure model-based methods may suffer from inaccuracy and long-term instability of parameter…

Systems and Control · Electrical Eng. & Systems 2025-07-01 Zihao Zhou , Antti Aitio , David Howey

Health monitoring of remote critical infrastructure is a complex and expensive activity due to the limited infrastructure accessibility. Inspection drones are ubiquitous assets that enhance the reliability of critical infrastructures…

Systems and Control · Electrical Eng. & Systems 2025-02-18 Jokin Alcibar , Jose I. Aizpurua , Ekhi Zugastia , Oier Penagarikano

Understanding battery degradation in electric vehicles (EVs) under real-world conditions remains a critical yet under-explored area of research. Central to this investigation is the challenge of estimating the specific degradation modes in…

Optimization and Control · Mathematics 2024-05-20 Raja Abhishek Appana , Faissal El Idrissi , Prashanth Ramesh , Marcello Canova , Chun Yong Kang , Kimoon Um

Solar energy adoption is critical to achieving net-zero emissions. However, it remains difficult for many industrial and commercial actors to decide on whether they should adopt distributed solar-battery systems, which is largely due to the…

Degradation prediction for lithium-ion batteries using data-driven methods requires high-quality aging data. However, generating such data, whether in the laboratory or the field, is time- and resource-intensive. Here, we propose a method…

Systems and Control · Electrical Eng. & Systems 2025-03-19 Weihan Li , Harshvardhan Samsukha , Bruis van Vlijmen , Lisen Yan , Samuel Greenbank , Simona Onori , Venkat Viswanathan

Large-scale grid-connected lithium-ion batteries are increasingly being deployed to support renewable energy roll-out on the power grid. These battery systems consist of thousands of individual cells and various ancillary systems for…

Systems and Control · Electrical Eng. & Systems 2023-04-24 Jorn M. Reniers , David A. Howey

Battery health monitoring is critical for the efficient and reliable operation of electric vehicles (EVs). This study introduces a transformer-based framework for estimating the State of Health (SoH) and predicting the Remaining Useful Life…

Machine Learning · Computer Science 2025-01-31 Aybars Yunusoglu , Dexter Le , Karn Tiwari , Murat Isik , I. Can Dikmen

Fast and reliable validation of novel designs in complex physical systems such as batteries is critical to accelerating technological innovation. However, battery research and development remain bottlenecked by the prohibitively high time…

Machine Learning · Computer Science 2025-09-26 Jiawei Zhang , Yifei Zhang , Baozhao Yi , Yao Ren , Qi Jiao , Hanyu Bai , Weiran Jiang , Ziyou Song

The use of residential photovoltaics has increased dramatically in recent years. With battery systems becoming more affordable, the optimal operation of a photovoltaic-battery system can bring significant savings to households. Optimal…

Machine Learning · Statistics 2026-05-28 Joris Depoortere , Hussain Kazmi , Johan Driesen

Battery health estimation is fundamental to ensure battery safety and reduce cost. However, achieving accurate estimation has been challenging due to the batteries' complex nonlinear aging patterns and capacity regeneration phenomena. In…

Machine Learning · Computer Science 2025-01-29 Vijay Babu Pamshetti , Wei Zhang , King Jet Tseng , Bor Kiat Ng , Qingyu Yan

Batteries are pivotal for transitioning to a climate-friendly future, leading to a surge in battery research. Scopus (Elsevier) lists 14,388 papers that mention "lithium-ion battery" in 2023 alone, making it infeasible for individuals to…

Information Retrieval · Computer Science 2024-11-01 Philipp Dechent , Elias Barbers , Simon Clark , Susanne Lehner , Brady Planden , Masaki Adachi , David A. Howey , Sabine Paarmann