汽车电子研究中心
Research / Environmental Perception
Research Direction

Today’s vehicles sense their road environments, such as other vehicles, pedestrians or obstacles, using local perception sensors. The capability of environmental perception is a core component of future automated driving system. Our team dedicates on the research and development of advanced vision-based detection, simultaneous localisation and mapping (SLAM) and sensory fusion algorithm and techniques.

High accuracy optimal efficiency control of IPMSM drive

In order to optimally control the interior permanent magnet synchronous machine (IPMSM) drives, maximum torque per ampere (MTPA) control has been widely applied to various applications, e.g., electric vehicle, high-speed rail, etc. After around 30 years’ development, the MTPA control schemes which calculate the MTPA points online based on the machine parameters became one kind of the most important and well-adopted MTPA control methods. However, according to the latest researches, since the most of these MTPA control schemes ignore the terms of the partial differentiation of machine parameters with respect to current angle, therefore, even substitutes accurate machine parameters into these MTPA control schemes, these traditional online MTPA point calculation schemes will still result in large MTPA control errors and there is no research on the observation of these differentiation terms has been reported yet. Based on the above findings, this project will innovatively develop novel observers to observe the partial differentiation of machine parameters with respect to current angle terms online and comprehensively study the effects of these differentiation terms on MTPA point calculation. Further, the project will develop robust MTPA control schemes with high MTPA control accuracy but insensitive to machine parameter errors and the developed MTPA control schemes will also be extended to flux weakening region.

Intellectual Properties

Selected Papers

Sun, Tianfu; Yang, Riyang; Li, Huiyun; Zhang, Xin; Xu, Tiantian,Active Motor Rotor Temperature Management Based on One-Node Thermal Network Model Predictive Control,IEEE TRANSACTIONS ON POWER ELECTRONICS,35(10):11213-11221,2020(IF=6.373
,SCI,中科院1区)
Sun, Tianfu; Wang, Jiabin; Jia, Chengli; Peng, Lei,Integration of FOC With DFVC for Interior Permanent Magnet Synchronous Machine Drives,IEEE ACCESS,8:97935-97945,2020,IF=3.745,SCI,中科院2区)
Kuiqing Zhang; Tianfu Sun; Gang Xie; Junjie Zhang; Guangyang Xiong; Jianing Liang; Shaojia He,High-Fidelity Model for Interior Permanent Magnet Synchronous Machines Considering the Magnet Saturation and Spatial Harmonics Based on Deep Neural Network,International Conference on Electrical Machines and Systems (ICEMS2019)

Selected Patents

发明专利,同步电励磁电机及其应用,申请号CN201910649074.0,申请日2019/07/18
发明专利,电机控制方法、控制器、存储介质及电机驱动系统,申请号PCT/CN2019/086653,申请日2019/05/13