Affiliation:
1. BVRIT HYDERABAD College of Engineering for Women, India
Abstract
Lithium-ion batteries play a crucial role in storing energy for electric vehicles, and their reliability is of paramount importance. These batteries are widely used in various appliances for energy storage, catering to specific appliance requirements. Understanding the battery's reliability is essential, given its vital role in energy storage. Even when fully charged to 100%, the battery's capacity undergoes changes as the number of usage cycles increases. Once the capacity surpasses limit of acceptable performance, it leads to a depleted battery incapable of retaining a charge. As a result, the concept of remaining service life (RSL) becomes pivotal in battery management systems (BMS) for both industrial purposes and scholarly investigations. This chapter delves into the appropriate method for predicting RSL, incorporating the implementation of machine learning techniques.
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