Optimal Energy Consumption Control Strategy for Electric Vehicle

• Published in: IEEE access 2024-12, p.1-1
• Main Authors: Prasad, Shana Lakshmi, Gudipalli, Abhishek
• Format: Article
• Language: English
• Subjects: Brakes; Costs; Drives; Electric vehicle (EV); Energy consumption; Force; Force control; Friction; Hybrid electric vehicles; ideal braking force distribution; Motors; Real-time systems; regenerative braking force control strategy
• ISSN: 2169-3536
• DOI: 10.1109/ACCESS.2024.3512188

The automobile industry faces increasing pressure related to global energy and environmental issues. In response to these challenges, electric vehicles (EVs) have emerged as a promising alternative, renowned for their energy efficiency, minimal noise, and zero emissions. Nevertheless, the limited driving range is a concern for electric vehicles. This article presents a proposed control strategy to reduce high energy consumption (Wh/km) to satisfy the present research gap in electric vehicles. The regenerative braking force control strategy reduced energy consumption by 6.641 (Wh/km) and 6.24 (Wh/km) for the ECE R15 and IDC drive cycles, respectively. The efficacy improvement of the proposed control strategy is 9.463% and 3.577%. Further, the cost analysis is carried out based on the daily average distance travelled by the electric vehicle, which is 30 km. The cost of saving energy consumption for electric vehicles depends upon the charging used in electric vehicles. If the DC-Fast charging is during non-sunny hours, the cost of saving energy consumption of the electric vehicle is much higher than the cost of saving energy consumption of the electric vehicle while utilizing the energy consumption of AC-slow charging during sunny hours. The effective analysis is verified using the Matlab/Simulink model. The model was built in a real-time environment using the real-time simulator Opal-RT 5700 to verify better accuracy. The proposed system follows ECE R15 standards, significantly reduces the energy consumption of electric vehicles, improves efficiency, and reduces the cost of energy consumption, which is higher than the existing control strategy.