| Research on Energy Consumption Optimization Control Strategy of Electric Vehicle Electric Drive Oil/Water Cooling System
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| Xuanyao Wang , Youwang Feng |
| Anhui University of Science and Technology |
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| ABSTRACT |
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The electric drive thermal management system of electric vehicles is an important part of electric vehicles. To improve the cooling effect of the electric drive system and reduce energy consumption, a cooling scheme combining the spray oil cooling of the motor end winding with the cooling water jacket of the motor shell and the water cooling in the motor shaft is proposed. Based on the electric drive cooling system framework of electric vehicles, a fuzzy logic control strategy is established. The flow rate and heat dissipation in the system are optimized by controlling the rotation speed of the oil/water cooling pump and the radiator fan, which further reduces the energy consumption of the system. In addition, through the co-simulation of AMESim and Simulink, under the same simulation time, the simulation comparison and analysis are carried out under SFTP-US06 and WLTC conditions, respectively. The power loss of fuzzy logic control is 9% and 28% lower than that of switching control, and 21% and 25% lower than that of PID control, respectively.
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| Key Words:
Electric vehicle · Electric drive cooling system · Oil/water cooling · Fuzzy logic control · Lumped parameter thermal network
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Corresponding Author.
Xuanyao Wang , Email. 
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