Distributed Electric Vehicle State Parameter Estimation Based on the ASO-SRGHCKF Algorithm-Reference-Cited by-同舟云学术

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

Published:2022-10-01 Issue:19 Volume:22 Page:18780-18792
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yaming Liu¹^ORCID,Rongyun Zhang¹^ORCID,Peicheng Shi²^ORCID,Linfeng Zhao³^ORCID,Yongle Feng¹,Yufeng Du¹

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

3. School of Automotive and Traffic.Engineering, Hefei University of Technology, Hefei, 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)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9906561/09865872.pdf?arnumber=9865872

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4. Estimation of vehicle state parameters based on unscented Kalman filtering;wanzhong;J South China Univ Tech (Natur Sci Ed ),2016

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

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