Energy storage systems offer a wide range of technological approaches to managing power supplies to create a more resilient energy infrastructure and bring cost savings to utilities. Energy storage systems are classified into mechanical, electrochemical, chemical, electrical, and thermal, as shown in Fig. 1.1.
As the demand for reliable, high-performing storage technology is the need of the hour, many researchers are using AI techniques like FL, ANN to provide a better solution and in a quick time. Also with AI, Machine Learning is gradually becoming popular in the energy storage industry.
Chemical energy storage systems Nowadays chemical energy storage systems (CESSs) based energy storage systems are very popular due to long-time energy storage capability. They are classified into two categories well-known as hydrogen and biofuels , .
AI has become a transformative tool in various scientific domains, particularly in battery and electrochemical energy storage systems. This section discusses the various roles and applications of different AI methodologies and algorithms in advancing battery and electrochemical energy storage technologies for EVs.
The application of AI and GenAI in the research field of battery and electrochemical energy storage systems is particularly noteworthy.
On the energy storage side, artificial intelligence technology is used to explore more efficient energy storage technology, and the appropriate energy storage system can be automatically selected according to the geographical environment.