Energy management in a hybrid electric vehicle for the operating total cost minimization based machine learning

Energy saving is one of HEV’s most significant innovations. The existing emissions and extreme fossil oil shortages, the production of clean new energy-powered vehicles,HEVs and EV system are offer better energy efficiency and lower emissions of waste in particular the hybrid power, is key.HEVs were really high increased air and oil emissions control. HEVs of different designs are becoming increasingly common, as they can achieve high fuel savings and mitigate emissions through multiple storage systems. The most powerful approach is the battery-driven vehicles.This article examines the management of energy issue with the minimisation of the operating costs of the HEVs for hybrid electric vehicles (HEVs). The energy management strategy and hybrid performance enhancement are the key to ensuring the system functions properly. The battery energy is managed using the proposed GA approach based on reinforcement learning (RL) which is originated from the ML. The results are obtained and verified successfully.