Review on Energy Management Systems for Hybrid E Vehicles

Abstract

In recent years, there has been a significant increase in the automotive industry, which has increased the number of vehicles based on internal combustion engines (ICEs). Limitation of oil supplies and environmental degradation caused by emissions from ICE-based vehicles raises the need for energy efficient and environmentally sustainable vehicles. Today, eco-friendly, durable and powerful electric vehicles (EVs) have drawn global interest in the automotive sector. The efficiency of Hybrid Electric Vehicles (HEV s) is highly dependent on the battery life. Energy management in Hybrid Electric Vehicles (HEV s) and Plug-in Hybrid Electric Vehicles (PHEVs) is therefore critical for improving the battery life without affecting the performance of the vehicle. This paper points out in depth the different control methods implemented for energy management, such as rules-based and optimizing energy management systems. It also focuses on the recent development of energy management algorithms focused on Deep Learning.