C
Changfu Zou
Researcher at Chalmers University of Technology
Publications - 57
Citations - 4491
Changfu Zou is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Battery (electricity) & State of charge. The author has an hindex of 24, co-authored 47 publications receiving 2477 citations. Previous affiliations of Changfu Zou include University of Melbourne.
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Journal ArticleDOI
Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs
TL;DR: The importance of battery energy storage in densely populated urban areas, where traditional storage techniques such as pumped hydroelectric energy storage and compressed-air energy storage are often not feasible as discussed by the authors.
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Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus
TL;DR: Results show that the maximum steady-state errors of SOC and SOH estimation can be achieved within 1%, in the presence of initial deviation, noise, and disturbance, and the resilience of the co-estimation scheme against battery aging is verified through experimentation.
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A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors
TL;DR: A critical overview of fractional-order techniques for managing lithium-ion batteries, lead-acid batteries, and supercapacitors is provided, and these models offer 15–30% higher accuracy than their integer-order analogues, but have reasonable complexity.
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Random forest regression for online capacity estimation of lithium-ion batteries
Yi Li,Changfu Zou,Maitane Berecibar,Elise Nanini-Maury,Jonathan Cheung-Wai Chan,Peter Van Den Bossche,Joeri Van Mierlo,Noshin Omar +7 more
TL;DR: The proposed machine-learning technique, random forest regression, is able to learn the dependency of the battery capacity on the features that are extracted from the charging voltage and capacity measurements, and is promising for online battery capacity estimation.
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State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis
TL;DR: An incremental capacity analysis (ICA) method for battery SOH estimation is proposed that uses grey relational analysis in combination with the entropy weight method, proving its effectiveness.