Multi-objective Finite Control Set Model Predictive Control for Interior Permanent Magnet Motors in Electric/Hybrid-Electric Vehicle Applications
2022-01-0417
03/29/2022
- Event
- Content
- The rapid growth of electric and hybrid-electric vehicles (EV/HEV) in the automotive industry has created a need for state-of-the-art technologies to improve their performance, reliability, and cost. EV/HEV powertrains include one or more electric motors to deliver power to the wheels and are essential components in the system. Therefore, it is imperative to develop suitable drive control methodologies that produce the required torque/speed demands and ensure safe and efficient operation under challenging circumstances. Two of the biggest concerns in electric motors and their inverter feeder are thermal cycling and overheating, which lead to component degradation and failures that increase maintenance frequency and reduce the vehicle’s overall lifespan. This study augments the finite control set model predictive control (FCS-MPC) into a multi-objective methodology that includes electric power quality, inverter thermal cycling, and motor thermal efficiency. Suitable lumped-parameter thermal models are developed for both the inverter and the motor to estimate their thermal characteristics, which are then incorporated into the control law to obtain desirable performances. The results of this study show that by adding inverter and motor thermal models into the FCS-MPC, the following goals are achieved: 1) reduced need for mechanical cooling, thus less overall power/fuel consumption, 2) increased life expectancy for power electronic devices and motor components, and 3) safe and reliable operation. The proposed methodology is tested under different scenarios for a 120 kW in-wheel interior permanent magnet motor (IPM) designed for EV/HEV applications to demonstrate its efficacy.
- Citation
- Badr, P., Ozkan, G., Hoang, P., Edrington, C. et al., "Multi-objective Finite Control Set Model Predictive Control for Interior Permanent Magnet Motors in Electric/Hybrid-Electric Vehicle Applications," SAE Technical Paper 2022-01-0417, 2022, .