Research on Key Technologies and Collaborative Optimization for Improving Energy Conversion Efficiency of New Energy Vehicle Motors

School of Automotive and Transportation Engineering, Guangdong Polytechnic Normal University, Heyuan, 517000, China

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

New energy vehicles have become a key focus of current development, and improving the energy efficiency of their motors is a major challenge in this field. In this study, we first sorted out five core factors that affect motor energy conversion efficiency, including the characteristics of the motor itself, power system configuration, energy management strategy, actual driving conditions, and thermal management and maintenance level. On this basis, we proposed three collaborative optimization modes, namely configuration-strategy-maintenance, “ontology-thermal managementlightweighting”, and “working condition-strategy-material”. We conducted verification experiments on the ADVISOR-MATLAB co-simulation platform, taking a series-parallel plug-in hybrid electric vehicle as the research object. The results show that applying these multi-technology collaborative optimization methods can increase the average energy conversion efficiency of the motor by 5% to 8%. Specifically, the proportion of the motor’s high-efficiency zone reaches 75% under urban conditions and 82% under high-speed conditions, while the overall fuel economy of the vehicle is more than 40% better than that of traditional fuel vehicles. This study provides a feasible technical approach for improving the energy conversion efficiency of new energy vehicle motors.