Changfu Zou
I am a Professor and PI of the Energy Systems and Optimal Control (eSOC) group at the Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden. I received my PhD from the University of Melbourne, Australia, and was a visiting student researcher at the University of California, Berkeley, USA. I joined Chalmers as a Researcher in 2017, became an Assistant Professor in early 2019, an Associate Professor in early 2022, and a tenured Associate Professor later in 2022, all within the same department. My research focuses on advanced modelling and automatic control of energy storage systems, particularly lithium-ion batteries. Much of my work is conducted in close collaboration with industry partners, such as Volvo, Scania, and ABB. As PI or Co-PI, I have received funding from the Swedish Research Council (including both Starting Grant and Project Grant), European Commission, Swedish Energy Agency , Swedish Innovation Agency, Knut and Alice Wallenberg Foundation, and others. I have been a recipient of recognitions, such as the IEEE Vehicular Technology Society (VTS) Best Vehicular Electronics Paper Award, IEEE TTE Prize Paper Award, IEEE VTS Climate Challenge Award, Nordic Energy Challenge Award, and selection to the Royal Swedish Academy of Engineering Sciences (IVA)'s 100 List. I have served 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, Natural Sciences and Engineering Research Council of Canada (NSERC), among others. I currently serve as an associate editor/editorial board member for journals, such as IEEE TVT, IEEE TTE, IEEE T-ITS, and Cell Press journal iScience.
Visar 70 publikationer
A Unified Model for Active Battery Equalization Systems
Learning chemical potentials and parameters from voltage data for multi-phase battery modeling
Hypergraph-Based Unified Model Development for Active Battery Equalization Systems
Life-Cycle analysis of economic and environmental effects for electric bus transit systems
MINN: Learning the dynamics of differential-algebraic equations and application to battery modeling
Detecting abnormality of battery lifetime from first-cycle data using few-shot learning
Nonlinear Model Inversion-Based Output Tracking Control for Battery Fast Charging
Vehicle-to-grid optimization considering battery aging
Ensemble Nonlinear Model Predictive Control for Residential Solar Battery Energy Management
Early prediction of battery life by learning from both time-series and histogram data
Practical battery state of health estimation using data-driven multi-model fusion
Optimization-free fast charging for lithium-ion batteries using model inversion techniques
Analysis of Potential Lifetime Extension Through Dynamic Battery Reconfiguration
Sensitivity Analysis of the Battery System State of Power
Offline and Online Blended Machine Learning for Lithium-Ion Battery Health State Estimation
Fast Charging Control of Lithium-Ion Batteries: Effects of Input, Model, and Parameter Uncertainties
State of Power Prediction for Battery Systems with Parallel-Connected Units
Control-Oriented Modeling of All-Solid-State Batteries Using Physics-Based Equivalent Circuits
Analysis and Estimation of the Maximum Switch Current during Battery System Reconfiguration
Combining offline and online machine learning to estimate state of health of lithium-ion batteries
A PDE Model Simplification Framework for All-Solid-State Batteries
Model Order Reduction Techniques for Physics-Based Lithium-ion Battery Management: A Survey
Electrochemical Model-Based Fast Charging: Physical Constraint-Triggered PI Control
Active Balancing of Lithium-Ion Batteries Using Graph Theory and A-Star Search Algorithm
Cell Balancing Control for Lithium-Ion Battery Packs: A Hierarchical Optimal Approach
Novel Mesoscale Electrothermal Modeling for Lithium-Ion Batteries
Run-to-Run Control for Active Balancing of Lithium Iron Phosphate Battery Packs
Next-Generation Battery Management Systems: Dynamic Reconfiguration
Model-based state of charge estimation algorithms under various current patterns
Advanced Vehicle State Monitoring: Evaluating Moving Horizon Estimators and Unscented Kalman Filter
Near-Fastest Battery Balancing by Cell/Module Reconfiguration
Load-responsive model switching estimation for state of charge of lithium-ion batteries
Dynamic modeling and coordinate control for an engine-generator set
Predicting battery aging trajectory via a migrated aging model and Bayesian Monte Carlo method
Real-time monitoring of capacity loss for vanadium redox flow battery
Charging pattern optimization for lithium-ion batteries with an electrothermal-aging model
Electrochemical estimation and control for lithium-ion battery health-aware fast charging
Random forest regression for online capacity estimation of lithium-ion batteries
A fast estimation algorithm for lithium-ion battery state of health
Model Predictive Control for Lithium-Ion Battery Optimal Charging
Technological developments in batteries: A survey of principal roles, types, and management needs
Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery
A framework for simplification of PDE-based lithium-ion battery models
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Visar 25 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