Efficient Estimator of Rotor Temperature Designing for Electric and Hybrid Powertrain Platform

• Main Authors: Tuan-Vu Tran, Edouard Nègre
• Format: Article
• Language: English
• Published: MDPI AG 2020-07-01
• Series: Electronics
• Subjects: battery electric vehicle; hybrid electric vehicle; rotor temperature; estimator; induction machine design; rapid prototyping
• Online Access: https://www.mdpi.com/2079-9292/9/7/1096

This paper presents an efficient method of estimation of rotor cage temperature for induction machine design, applied for electric and hybrid vehicles. This factor influences the torque produced by the induction machine with a field-oriented control algorithm. Equipping sensors to measure the temperature of a rotation component is expensive and is not representative of mass production. The approach of estimation of rotor cage temperature is based on the good knowledge of motor parameters and the estimation of the flux of the machine. For an accuracy inductance taking account of the saturation, the no-load test can be performed. The machine flux will be estimated taking account of the voltage drop of the system on the test-bench. The rapid prototyping in a real-time motor control platform will be presented that integrates this estimator of rotor temperature. We finally show the experimental testing results compared to the measurement of the rotor cage on a prototype asynchronous low-cost motor designing for battery electric city cars.