Modeling, Analysis, and Attenuation of Uncontrolled Generation for IPMSM-Based Electric Vehicles in Emergency

Chao Gong, Yihua Hu, Chun Gan, Guipeng Chen, Mohammed Alkahtani

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Inevitable faults such as overcurrent might occur when interior permanent magnet synchronous machines (IPMSM) with high constant-power speed ratio in electric vehicles rotate over high-speed range, causing uncontrolled generation (UCG) phenomenon. In the process, the large current might be generated and then flow back to the battery through the uncontrolled rectifier, posing a great risk to the power devices. For a better understanding of UCG, this paper first explains the transient process by establishing a dynamic model of the uncontrolled rectifier (UR). Then, aiming at the steady-state generating stage, an enhanced UCG model is proposed for the analysis of motor parameter dependencies. Because it is found that the maximum UCG feedback current at high speed is inversely proportional to the d-axis inductance, an inductance design/optimization method for appropriate d-axis by changing the rotor structure is developed to attenuate the side effect of UCG. The proposed UCG model and the validity of the design/optimization approach are verified by experiments. The results have proved that the new model can be employed to estimate the working state of an IPMSM drive system under UCG operation and determine the optimal motor parameters in the course of machine design and optimization.

Original languageEnglish
Article number8758402
Pages (from-to)4453-4462
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume67
Issue number6
DOIs
StatePublished - Jun 2020
Externally publishedYes

Keywords

  • Feedback current
  • interior permanent magnet synchronous machine (IPMSM)
  • machine design/optimization
  • parameter dependencies
  • uncontrolled generation (UCG)

Fingerprint

Dive into the research topics of 'Modeling, Analysis, and Attenuation of Uncontrolled Generation for IPMSM-Based Electric Vehicles in Emergency'. Together they form a unique fingerprint.

Cite this