AI-Optimized Eco-Charge Regeneration Technology in EV

In the modern era of transportation, improving the energy efficiency poses to be one of the major challenges faced by electric vehicles (EVs). When drivers apply brakes the braking systems convert kinetic energy into heat which leads to loss of power and energy. This loss of power hinders the performance and range optimization of EVs. In order to solve this problem, there is a need to find solutions that helps in increasing energy efficiency in EVs. This paper suggests a solution that can be used in optimizing the energy recovered during braking using Artificial Intelligence (AI). The application of AI algorithms helps in redirecting the kinetic energy to the battery resulting in an enhanced energy regeneration process. The proposed AI optimized aims to overcome the limitations of the traditional energy recovery systems. Through real time data-analysis and adaptable control, the AI system maximizes the conversion of energy and ultimately improves both the energy efficiency and range of anxieties. This approach not only deals with the setbacks of existing braking systems, but also cope with the increasing demand for sustainable technologies EVs. The integration of AI into the process of energy recovery and optimization leads to a transformation in electric vehicle technology.