Online Signal-Based Fault Detection and Diagnosis of EV Inverter During WLTP Driving Cycle-Reference-Cited by-同舟云学术

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Online Signal-Based Fault Detection and Diagnosis of EV Inverter During WLTP Driving Cycle

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Vehicle Power and Propulsion Conference (VPPC)
language:
Short-container-title:

Author:

Alvarez-Gonzalez Fernando¹^ORCID,Sierra-Gonzalez Andres¹^ORCID,Trancho Elena¹^ORCID,Marcos Miguel Allende¹^ORCID

Affiliation:

1. ACS, Automotive Area Tecnalia, Basque Research and Technology Alliance (BRTA),Bilbao,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9698824/9699115/09699360.pdf?arnumber=9699360

Reference11 articles.

1. Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

2. A Literature Review of IGBT Fault Diagnostic and Protection Methods for Power Inverters;lu;IEEE Transactions on Industry Applications,2009

3. Fixed Switching Period Discrete-Time Sliding Mode Current Control of a PMSM

4. Fault detection and isolation on a PWM inverter by knowledge-based model

5. PM-Assisted Synchronous Reluctance Machine Flux Weakening Control for EV and HEV Applications

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Machine Learning Approach for Fault Detection and Diagnosis in Four-legged Inverters;2023 IEEE Kansas Power and Energy Conference (KPEC);2023-04-27

2. Blockchain and Deep Learning-Based Fault Detection Framework for Electric Vehicles;Mathematics;2022-10-04

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