Artificial Intelligence and Batteries: AI-Powered Innovations in Battery Technology

Dear Colleagues,

Artificial intelligence (AI) techniques, including machine learning, neural networks, and optimization algorithms, are being leveraged to address key challenges in battery technology, and this Special Issue explores the intersection of AI and batteries, aiming to enhance battery performance, lifespan, and safety. By integrating AI, advancements are made in battery efficiency, charging strategies, and energy storage applications across various sectors, including electric vehicles, renewable energy systems, and portable electronics. The Special Issue delves into the synergy between AI methodologies and battery research, encouraging innovation and propelling the evolution of smart, sustainable energy solutions. The research areas include battery monitoring, prediction, balancing, maintenance, fault detection, functional safety, and optimization of battery control and management, all empowered by AI support.

This Special Issue aims to gather together high-quality paper reviews and research articles within the topic of AI and battery research and applications. We encourage researchers from various fields within the journal’s scope to contribute their papers highlighting the latest research and developments in their research field, or to invite relevant experts and colleagues to do so. Topics of interest for this Special Issue include, but are not limited to:

• State-of-the-art technologies and new developments for battery applications;
• Advances in AI and battery research and applications;
• Artificial intelligence in battery management and control;
• Advanced battery state estimation: state-of-charge (SOH), state-of-health (SOH), state-of-power (SOP), state-of-function (SOF), remaining discharge energy (RDE), degradation;
• Battery diagnostic and prognostic functions;
• Battery balancing control features, topologies, and integration;
• Advances in battery system thermal management;
• Functional safety in batteries.

Dr. Truong Minh Ngoc Bui
Dr. Truong Quang Dinh
Dr. Mona Faraji Niri
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Batteries is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence
• neural networks
• machine learning
• state-of-charge (SOH)
• state-of-health (SOH)
• state-of-power (SOP)
• state-of-function (SOF)
• remaining discharge energy (RDE)
• battery degradation
• diagnostic and prognostic
• battery balancing
• battery thermal management