State Parameters Estimation for Distributed Drive Electric Vehicle Based on PMSMs’ Sensorless Control-Reference-Cited by-同舟云学术

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State Parameters Estimation for Distributed Drive Electric Vehicle Based on PMSMs’ Sensorless Control

Published:2024-08-01 Issue:15 Volume:24 Page:24054-24069
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Li Haoran¹^ORCID,Zhang Rongyun¹^ORCID,Shi Peicheng²^ORCID,Xiao Ping¹^ORCID,Zheng Kunming¹,Qiu Tian¹

Affiliation:

1. School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Wuhu, China

2. Automotive New Technology Anhui Engineering and Technology Research Center, Anhui Polytechnic University, Wuhu, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of the Anhui Higher Education Institutions of China

Young and Middle-Aged Top Talents Training Program of Anhui Polytechnic University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10617804/10570253.pdf?arnumber=10570253

Reference26 articles.

1. On-line estimation of state-of-charge of Li-ion batteries in electric vehicle using the resampling particle filter

2. Exploiting Symmetries to Design EKFs With Consistency Properties for Navigation and SLAM

3. A Variational Bayesian-Based Unscented Kalman Filter With Both Adaptivity and Robustness

4. Distributed Electric Vehicle State Parameter Estimation Based on the ASO-SRGHCKF Algorithm

5. State and parameter estimation based on a modified particle filter for an in-wheel-motor-drive electric vehicle

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