Peak Power Estimation of Vanadium Redox Flow Batteries Based on Receding Horizon Control
Author:
Affiliation:
1. School of Automation, Wuhan University of Technology, Wuhan, China
2. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore
Funder
National Natural Science Foundation of China
Office of Naval Research Global (ONRG), USA
Naval Energy Resiliency and Sustainability in Broad Agency Announcement
ONRG
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/6245517/10035753/09716128.pdf?arnumber=9716128
Reference36 articles.
1. Online Model Identification Method of Vanadium Redox Flow Battery Based on Time-varying Forgetting Factor Recursive Least Squares
2. Real-time peak power prediction for zinc nickel single flow batteries
3. Temperature dependent power capability estimation of lithium-ion batteries for hybrid electric vehicles
4. Adaptive Ensemble-Based Electrochemical–Thermal Degradation State Estimation of Lithium-Ion Batteries
5. Thermal hydraulic behavior and efficiency analysis of an all-vanadium redox flow battery
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1. Lithium‐Free Redox Flow Batteries: Challenges and Future Prospective for Safe and Efficient Energy Storage;Batteries & Supercaps;2024-04-25
2. Control Strategy-Oriented Power Capability Online Estimation of Lithium Titanate Batteries for Battery Electric Locomotives;2024
3. Pump Fault Detection Method for Vanadium Redox Flow Batteries Without Flow Rate Sensors;2022 IEEE Sustainable Power and Energy Conference (iSPEC);2022-12-04
4. Modelling and Estimation of Vanadium Redox Flow Batteries: A Review;Batteries;2022-09-08
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