Changfu Zou
Changfu Zou is an Associate Professor in the Automatic Control research unit. His research focuses on modeling and automatic control of energy storage systems, particularly lithium-ion batteries. Many of his works are in collaboration with industry partners, such as Volvo Cars, Volvo Trucks, Polestar, Scania, and CEVT AB. As the project PI, he has received funding from the Swedish Research Council (incl. Starting Grant and Project Grant), European Commission (e.g., for projects BatCon, MoreSafe, SmartHEM, ULICBat, TEAMING), Swedish Energy Agency (incl. 3 projects within the Vehicle Strategic Research and Innovation Program), Swedish Foundation for International Cooperation in Research and Higher Education, Swedish Electromobility Center, etc. Specifically, he has hosted four researchers to achieve the Marie Skłodowska-Curie Fellowships, which are among Europe's most competitive and prestigious research and innovation fellowships. Dr Zou has been appointed as a review expert for research grants by the European Commission (e.g., for Horizon Europe CL5), US National Science Foundation, Academy of Finland, Cariplo Foundation in Italy, and so on. He currently serves as an associate editor/editorial board member for journals, such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Transportation Electrification, and Cell Press journal iScience. He is a recipient of awards, such as the IEEE Vehicular Technology Society Best Vehicular Electronics Paper Award, the Scholarship of National Information and Communication Technology, Australia (NICTA), and the Melbourne Research Scholarship. Dr Zou has joined Chalmers since 2017, initially as a Postdoc and then as an Assistant Professor. He was a visiting researcher at the University of California, Berkeley, USA. He obtained his PhD degree in Automation and Control Engineering from the University of Melbourne, Australia.
Visar 66 publikationer
Nonlinear Model Inversion-Based Output Tracking Control for Battery Fast Charging
Hypergraph-Based Unified Model Development for Active Battery Equalization Systems
A Unified Model for Active Battery Equalization Systems
Life-Cycle analysis of economic and environmental effects for electric bus transit systems
Detecting abnormality of battery lifetime from first-cycle data using few-shot learning
MINN: Learning the dynamics of differential-algebraic equations and application to battery modeling
Early prediction of battery life by learning from both time-series and histogram data
Vehicle-to-grid optimization considering battery aging
Ensemble Nonlinear Model Predictive Control for Residential Solar Battery Energy Management
Analysis of Potential Lifetime Extension Through Dynamic Battery Reconfiguration
Optimization-free fast charging for lithium-ion batteries using model inversion techniques
Practical battery state of health estimation using data-driven multi-model fusion
Combining offline and online machine learning to estimate state of health of lithium-ion batteries
State of Power Prediction for Battery Systems with Parallel-Connected Units
Offline and Online Blended Machine Learning for Lithium-Ion Battery Health State Estimation
Analysis and Estimation of the Maximum Switch Current during Battery System Reconfiguration
Sensitivity Analysis of the Battery System State of Power
Fast Charging Control of Lithium-Ion Batteries: Effects of Input, Model, and Parameter Uncertainties
Control-Oriented Modeling of All-Solid-State Batteries Using Physics-Based Equivalent Circuits
Model Order Reduction Techniques for Physics-Based Lithium-ion Battery Management: A Survey
A PDE Model Simplification Framework for All-Solid-State Batteries
Active Balancing of Lithium-Ion Batteries Using Graph Theory and A-Star Search Algorithm
Electrochemical Model-Based Fast Charging: Physical Constraint-Triggered PI Control
Run-to-Run Control for Active Balancing of Lithium Iron Phosphate Battery Packs
Novel Mesoscale Electrothermal Modeling for Lithium-Ion Batteries
Next-Generation Battery Management Systems: Dynamic Reconfiguration
Cell Balancing Control for Lithium-Ion Battery Packs: A Hierarchical Optimal Approach
Dynamic modeling and coordinate control for an engine-generator set
Predicting battery aging trajectory via a migrated aging model and Bayesian Monte Carlo method
Near-Fastest Battery Balancing by Cell/Module Reconfiguration
Advanced Vehicle State Monitoring: Evaluating Moving Horizon Estimators and Unscented Kalman Filter
Load-responsive model switching estimation for state of charge of lithium-ion batteries
Model-based state of charge estimation algorithms under various current patterns
Model Predictive Control for Lithium-Ion Battery Optimal Charging
Electrochemical estimation and control for lithium-ion battery health-aware fast charging
Random forest regression for online capacity estimation of lithium-ion batteries
Real-time monitoring of capacity loss for vanadium redox flow battery
Charging pattern optimization for lithium-ion batteries with an electrothermal-aging model
A fast estimation algorithm for lithium-ion battery state of health
Technological developments in batteries: A survey of principal roles, types, and management needs
A framework for simplification of PDE-based lithium-ion battery models
Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery
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Visar 24 forskningsprojekt
Multifysisk modellering och övervakning av litiumjonceller för nästa generations styrsystem
Prediktivt underhåll av e-powertrain med hjälp av fysikinformerad inlärning (TEAMING)
Datadriven förlängning av livslängden och optimering av prestanda för fordonsbatterisystem
Användarbeteendeinformerad styrteknik för integrering av fordon-hem-kraftnät
Användarbeteende informerad inlärning och intelligent kontroll för laddning av fordonsbatterier
Modellering av pläteringsmorfologi i litiumjonbatterier för ökad säkerhet
Electric vehicle energy optimization for improved sustainability
Elektrokemisk modellparameteridentifiering för hälsomedveten batterihantering
Litiumjonbatterikontroll för snabbare laddning och längre livslängd
Datadriven prediktion av batteriåldring
Thermal modelling and fault prognosis for Li-ion battery systems
Energioptimering och styrning av autonoma elektriska fordon
Batteristyrning via adaptiv modellering och prediktiv reglering
BattVolt - Batteristyrning med dynamisk konfigurering och styrbar utspänning
Dynamic reconfiguration of vehicle battery systems
Optimerad användning av batterier i fordon genom multinivå-modellering
Effektivare och skonsammare användning av litiumjonbatterier genom adaptiv modellering