PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 19, 2026Electronics3 citationsOpen Access

An Overview of Recent Advances in the Online Temperature Estimation of PMSM in Electric Vehicle Applications

View Full Paper
YSYunzhou SuJZJirong ZhaoGAGuowei An

Key Points

  • This review aims to examine recent advancements in online temperature estimation techniques for PMSMs, focusing on their implications for operational safety.
  • Comprehensive analysis of existing online temperature estimation methods
  • Comparison of electrical, thermal, and data-driven approaches
  • Evaluation of principles, application progress, and limitations of methods
  • Identified advantages of online temperature estimation in preventing insulation degradation
  • Showed methods capable of preventing demagnetization of magnets
  • Highlighted challenges and limitations present in current estimation techniques

Abstract

Online temperature estimation of key components (windings and magnets) in permanent magnet synchronous motors (PMSMs) has emerged as a critical technology for ensuring the safe operation of PMSMs, preventing insulation degradation, and avoiding the demagnetization of magnets. Because of such advantages, online temperature estimation is attracting growing attention from fields with stringent reliability requirements, such as electric vehicles, as well as electrified railway transportation and more/all-electric aircraft, where similar high-reliability demands exist. This paper gives a comprehensive review of the latest and most effective solutions in the online temperature estimation methods for PMSMs. It analyzes the principles, application progress, and limitations of existing methods, including electrical model-based approaches, thermal model-based approaches, and data-driven approaches, in which process the advantages and challenges of different methods are compared. And an outlook on the future application of this technology are summarized.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Su et al. (2026) studied this question.

synapsesocial.com/papers/69bb9321496e729e629810d1https://doi.org/10.3390/electronics15061249
Ask AI
Helpful
Bookmark
Share
View Full Paper