Real-Time Power Tracking Control for Supercapacitor-Based Regenerative Braking System Using Interacting Multiple Model Filter-Reference-Cited by-同舟云学术

Real-Time Power Tracking Control for Supercapacitor-Based Regenerative Braking System Using Interacting Multiple Model Filter

Published:2023-09 Issue:9 Volume:72 Page:11437-11445
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Jin Weibin¹^ORCID,Gao Yan¹^ORCID,Zhang Hongjuan¹^ORCID,Jin Baoquan²^ORCID

Affiliation:

1. College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, China

2. Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan, Shanxi, China

Funder

National Natural Science Foundation of China

Key Research and Development Projects of Shanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10254672/10098580.pdf?arnumber=10098580

Reference28 articles.

1. A cloud-based energy management strategy for hybrid electric city bus considering real-time passenger load prediction

2. A Novel Predictive Energy Management Strategy for Electric Vehicles Based on Velocity Prediction

3. Simultaneous Identification and Control for Hybrid Energy Storage System Using Model Predictive Control and Active Signal Injection

4. Real-Time Nonlinear Model Predictive Control of a Battery–Supercapacitor Hybrid Energy Storage System in Electric Vehicles

5. Adaptive energy management strategy for hybrid batteries/supercapacitors electrical vehicle based on model prediction control

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