Energy storage System and artificial intelligence

Ali Zeinodiny

2022. g. jūl. · Blue Rose Publishers

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This book has been written with the aim of examining modern technologies such as artificial intelligence and machine learning in order to design and develop energy storage devices such as batteries. In the first volume of this book, an attempt has been made to get acquainted with the concepts of artificial intelligence and machine learning and then its methods in designing rechargeable batteries and energy storage sources are explained. Efforts are being made to identify new solutions in the field of batteries, and these solutions will be available to those interested so that new windows can be provided to researchers. Therefore, all our efforts will be in the development of high-capacity batteries in the future. Machine learning will be the only tool to reduce running costs, which can be an efficient roadmap for improving energy storage (batteries, super capacitors, fuel cells, conversions cells, etc.). What the reader and researcher needs is to try to learn the basics of using this emerging technology. To examine all the present aspects, various articles, books and various sites have been reviewed in order to find a different and useful solution in using artificial intelligence in designing battery components such as cathode, anode and electrolyte, etc., and body storage resources. Payment energy. We hope that the contents of this book will be considered and can be a roadmap for the development of next generation batteries. Dear reader, in case of any mistake or shortcomin

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Producer: Ali Zeinodiny Move towards the future of advanced rechargeable batteries (Blue Advance Battery) Email: [e-mail] Address: Iran-Tehran-TarbiatModaresUniversity Department: Chemistry (Physical Chemistry-Electrochemistry)