A Multi-objective Optimization Control Strategy of a Range-Extended Electric Vehicle for the Trip Range and Road Gradient Adaption

• Published in: International journal of automotive technology Vol. 25; no. 1; pp. 131 - 145
• Main Authors: Lin, Xinyou, Chen, Zhiyong, Zhang, Jiajin, Wu, Chaoyu
• Format: Journal Article
• Language: English
• Published: Seoul The Korean Society of Automotive Engineers 01.02.2024; Springer Nature B.V; 한국자동차공학회
• Subjects: Adaptive control; Automotive Engineering; Connected Automated Vehicles and ITS; Electric; Electric vehicles; Emissions; Energy consumption; Energy efficiency; Energy management; Engineering; Equivalence; Fuel Cell; Fuel consumption; Fuel economy; Hybrid Vehicle; Multiple objective analysis; Numerical models; Optimization; Proportional integral; Vehicle Dynamics and Control; 자동차공학; Fuel economy; Range-extended electric vehicle; Equivalent consumption minimization strategy; Multi-objective optimization; Energy management; Emissions
• ISSN: 1229-9138; 1976-3832
• DOI: 10.1007/s12239-024-00021-x

The road gradient and trip range are of great significance in fuel consumption and emissions of a range-extended electric vehicle (REEV). However, the traditional energy management strategy failed to consider the road gradient. To address this issue, a multi-objective optimization adaptive control strategy is proposed to improve the fuel consumption and emissions of the REEVs. Firstly, a multi-objective optimization adaptive control strategy is developed based the equivalent consumption minimization strategy integrated with adaptive equivalent factor (EF). The EF is updating according to the road slope by using a proportional-integral controller. To investigate the impacts of the road gradient on emissions, the numerical models between road gradient and emissions are established. Furthermore, an optimal torque distribution strategy is proposed according to the weights of fuel and emissions, which realizes the tracking of the SOC trajectory and improves the fuel economy and emission performance of the vehicle. Finally, various strategies are carried out to verify the superiority of the proposed strategy by numerical validations. Compared with the control strategy considered fuel consumption only, the validation results show that the engine CO, HC, and NOx are reduced by 9.47, 2.33, and 4.10%, respectively, while compromising fuel economy by 3.3%.