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Capacity attenuation is one of the most intractable issues in the current of application of the cells. The disintegration mechanism is well known to be very complex across the system. It is a great challenge to fully comprehend this process…

Artificial Intelligence · Computer Science 2023-08-31 Zhen Zhang , Hongrui Sun , Hui Sun

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

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

Recent advances in cloud computing have simplified the way that both software development and testing are performed. Unfortunately, this is not true for battery testing for which state of the art test-beds simply consist of one phone…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-22 Matteo Varvello , Kleomenis Katevas , Mihai Plesa , Hamed Haddadi , Benjamin Livshits

The sustainable utilization of lithium-ion batteries (LIBs) is crucial to the global energy transition and carbon neutrality, yet data scarcity and heterogeneity remain major barriers across remanufacturing, reusing, and recycling. This…

Machine Learning · Computer Science 2025-09-29 Shengyu Tao

The use of transition group metals in electric batteries requires extensive usage of critical elements like lithium, cobalt and nickel, which poses significant environmental challenges. Replacing these metals with redox-active organic…

Materials Science · Physics 2025-07-02 Subhash V. S. Ganti , Lukas Woelfel , Christopher Kuenneth

Predicting lithium-ion battery degradation is worth billions to the global automotive, aviation and energy storage industries, to improve performance and safety and reduce warranty liabilities. However, very few published models of battery…

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

Batteries are dynamic systems with complicated nonlinear aging, highly dependent on cell design, chemistry, manufacturing, and operational conditions. Prediction of battery cycle life and estimation of aging states is important to…

Systems and Control · Electrical Eng. & Systems 2024-10-11 Joachim Schaeffer , Giacomo Galuppini , Jinwook Rhyu , Patrick A. Asinger , Robin Droop , Rolf Findeisen , Richard D. Braatz

Lithium-ion batteries are a key energy storage technology driving revolutions in mobile electronics, electric vehicles and renewable energy storage. Capacity retention is a vital performance measure that is frequently utilized to assess…

Machine Learning · Computer Science 2024-10-10 Michael J. Kenney , Katerina G. Malollari , Sergei V. Kalinin , Maxim Ziatdinov

Machine learning (ML) techniques have rapidly found applications in many domains of materials chemistry and physics where large data sets are available. Aiming to accelerate the discovery of materials for battery applications, in this work,…

Materials Science · Physics 2019-05-24 Rajendra P. Joshi , Jesse Eickholt , Liling Li , Marco Fornari , Veronica Barone , Juan E. Peralta

Battery recycling is a critical process for minimizing environmental harm and resource waste for used batteries. However, it is challenging, largely because sorting batteries is costly and hardly automated to group batteries based on…

Computational Engineering, Finance, and Science · Computer Science 2024-04-10 Yunyi Zhao , Wei Zhang , Erhai Hu , Qingyu Yan , Cheng Xiang , King Jet Tseng , Dusit Niyato

Monitoring the health of lithium-ion batteries' internal components as they age is crucial for optimizing cell design and usage control strategies. However, quantifying component-level degradation typically involves aging many cells and…

Computational Engineering, Finance, and Science · Computer Science 2024-04-09 Sina Navidi , Adam Thelen , Tingkai Li , Chao Hu

The performance of battery materials is determined by their composition and the processing conditions employed during commercial-scale fabrication, where raw materials undergo complex processing steps with various additives to yield final…

Signal Processing · Electrical Eng. & Systems 2025-05-27 Seon-Hwa Lee , Insoo Ye , Changhwan Lee , Jieun Kim , Geunho Choi , Sang-Cheol Nam , Inchul Park

Lithium-ion batteries are playing a key role in the sustainable energy transition. To fully exploit the potential of this technology, a variety of modeling, estimation, and prediction problems need to be addressed to enhance its design and…

Systems and Control · Electrical Eng. & Systems 2023-05-09 Gabriele Pozzato , Simona Onori

Data-driven methods for battery lifetime prediction are attracting increasing attention for applications in which the degradation mechanisms are poorly understood and suitable training sets are available. However, while advanced machine…

Machine Learning · Computer Science 2021-12-21 Peter M. Attia , Kristen A. Severson , Jeremy D. Witmer

Recent surge in the number of Electric Vehicles have created a need to develop inexpensive energy-dense Battery Storage Systems. Many countries across the planet have put in place concrete measures to reduce and subsequently limit the…

Machine Learning · Computer Science 2023-04-14 Janamejaya Channegowda , Vageesh Maiya , Chaitanya Lingaraj

Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it demands advances at the levels of materials, devices, and systems for the efficient harvesting, storage, conversion, and management of renewable…

Electrochemical batteries are ubiquitous devices in our society. When they are employed in mission-critical applications, the ability to precisely predict the end of discharge under highly variable environmental and operating conditions is…

Machine Learning · Computer Science 2022-06-07 Luca Biggio , Tommaso Bendinelli , Chetan Kulkarni , Olga Fink

Batteries can effectively improve the security of energy systems and mitigate climate change by facilitating wind and solar power. The installed capacity of battery energy storage system (BESS), mainly the lithium ion batteries are…

Systems and Control · Electrical Eng. & Systems 2024-10-23 Cunzhi Zhao , Xingpeng Li
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