Virtual ZiyouAI
Built from Ziyou Song's papers · University of Michigan
17 of 81papers in Ziyou's battery bibliography are read in full
Virtual Ziyou answers only from the full-text papers, which are open access. The other 64 are paywalled or had no open-access copy, so it knows only their titles: it can point you to them but can't say what they found. Wrote one of them, or know a free copy? Help us add it.
The work in brief
Ziyou's work addresses how lithium-ion batteries are managed, monitored and reused in electric vehicles and stationary energy systems. The earliest papers (2014–2019) focus on battery/supercapacitor hybrid energy storage systems for electric vehicles and buses, covering topology comparison, component sizing, and energy management via dynamic programming, model predictive control and sliding-mode control, often with battery degradation or low-temperature operation as objectives. In the same period the work develops estimation methods grounded in identifiability analysis, including Cramer–Rao bound–based current profile design and active current injection for combined state-of-charge and state-of-health estimation.
From around 2020 the focus broadens to cell-to-cell variation and fault detection in parallel-connected cells, bias-compensated Kalman filtering for flat-OCV LFP cells, and integrated power and thermal management for connected and automated EVs using multi-horizon MPC. Second-life batteries, recycling automation and EV fleet charging also appear. The most recent papers lean toward data-driven and physics-informed learning, often with an industrial battery partner: state-of-health estimation from EV field data and partial charging profiles, physics-informed neural networks for degradation diagnostics, swarm and meta-learning for data-limited settings, and 'Discovery Learning' for predicting cycle life and evaluating battery designs from minimal experiments.
AI-written from the paper titles and abstracts; Ziyou hasn't reviewed it.
Themes
Data-driven health estimation8 papers
Machine learning, physics-informed and multi-modal models that estimate battery state of health, capacity, degradation modes and lifetime from lab and EV field data, often with partial or limited data.
- 2025Multi-modal framework for battery state of health evaluation using open-source electric vehicle data
- 2026Real-time physics-aware battery health monitoring from partial charging profiles via physics-informed neural networks
- 2024Driving behavior-guided battery health monitoring for electric vehicles using extreme learning machine
- 2025Enhanced Battery Capacity Estimation in Data-Limited Scenarios Through Swarm Learning
- 2022Robust State of Health estimation of lithium-ion batteries using convolutional neural network and random forest
- 2025Discovery Learning accelerates battery design evaluation
- 2026Semantically embedded end-to-end deep learning for battery energy storage system state-of-health estimation using field data · title only
- 2026Discovery Learning predicts battery cycle life from minimal experiments · title only
Model-based state estimation7 papers
Kalman-filter and identification methods for joint state-of-charge, state-of-health and parameter estimation, including Cramer–Rao bound analysis, active current injection and measurement-bias compensation.
- 2019The sequential algorithm for combined state of charge and state of health estimation of lithium-ion battery based on active current injection
- 2024Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries
- 2018Current Profile Optimization for Combined State of Charge and State of Health Estimation of Lithium Ion Battery Based on Cramer–Rao Bound Analysis · title only
- 2018Parameter identification of lithium-ion battery pack for different applications based on Cramer-Rao bound analysis and experimental study · title only
- 2019Combined State and Parameter Estimation of Lithium-Ion Battery With Active Current Injection · title only
- 2024Integrated Framework for Accurate State Estimation of Lithium-Ion Batteries Subject to Measurement Uncertainties · title only
- 2024Bias-Compensated State Estimation Algorithm for Lithium Iron Phosphate Batteries with Flat OCV-SOC Curves · title only
Hybrid energy storage management8 papers
Sizing, topology selection and energy management of battery/supercapacitor and other hybrid storage systems in vehicles, buses and ship microgrids using dynamic programming and predictive control.
- 2014Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach · title only
- 2014A comparison study of different semi-active hybrid energy storage system topologies for electric vehicles · title only
- 2014Energy management strategies comparison for electric vehicles with hybrid energy storage system · title only
- 2014Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehicles · title only
- 2019A hierarchical energy management strategy for hybrid energy storage via vehicle-to-cloud connectivity · title only
- 2019Adaptive model predictive control for hybrid energy storage energy management in all-electric ship microgrids · title only
- 2020Hybrid electrochemical energy storage systems: An overview for smart grid and electrified vehicle applications · title only
- 2017Sliding-mode and Lyapunov function-based control for battery/supercapacitor hybrid energy storage system used in electric vehicles · title only
Thermal and degradation-aware control8 papers
Optimal and predictive control of battery power, thermal management, heating and fast charging that trades off energy efficiency against battery aging and safety.
- 2025Integrated power and thermal management for enhancing energy efficiency and battery life in connected and automated electric vehicles
- 2023Optimal battery thermal management for electric vehicles with battery degradation minimization
- 2022Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint Handling
- 2024Predictive Battery Thermal and Energy Management for Connected and Automated Electric Vehicles · title only
- 2023NMPC-Based Integrated Thermal Management of Battery and Cabin for Electric Vehicles in Cold Weather Conditions · title only
- 2023A Health-Aware AC Heating Strategy With Lithium Plating Criterion for Batteries at Low Temperatures · title only
- 2025Integrated Power and Thermal Management for Reducing Battery Degradation in Electrified Connected and Automated Vehicles · title only
- 2019Adaptively coordinated optimization of battery aging and energy management in plug-in hybrid electric buses · title only
Pack faults, second life and recycling8 papers
Fault and internal short-circuit detection in parallel-connected cells, cell-to-cell variation, and the reuse, retirement and robotic recycling of EV batteries.
- 2022Internal Short Circuit Detection for Parallel-Connected Battery Cells Using Convolutional Neural Network
- 2020Individual Cell Fault Detection for Parallel-Connected Battery Cells Based on the Statistical Model and Analysis
- 2023Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy
- 2023ABatRe-Sim: A Comprehensive Framework for Automated Battery Recycling Simulation
- 2026Strategic retirement enhances electric vehicle battery circularity
- 2020A study of cell-to-cell variation of capacity in parallel-connected lithium-ion battery cells · title only
- 2023Can retired lithium-ion batteries be a game changer in fast charging stations? · title only
- 2024Techno-economic assessment of isolated micro-grids with second-life batteries: A reliability-oriented iterative design framework · title only
Bibliography
Open-access papers. Virtual Ziyou searches these page by page and cites them.
2026
2025
- Data-Driven Quantification of Battery Degradation Modes Via Critical Features from ChargingSSRN Electronic Journal
- Discovery Learning accelerates battery design evaluationarXiv (Cornell University)
- Enhanced Battery Capacity Estimation in Data-Limited Scenarios Through Swarm Learning
- Integrated power and thermal management for enhancing energy efficiency and battery life in connected and automated electric vehiclesApplied Energy
- Multi-modal framework for battery state of health evaluation using open-source electric vehicle dataNature Communications
2024
- Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate BatteriesIEEE Transactions on Power Electronics
- Driving behavior-guided battery health monitoring for electric vehicles using extreme learning machineApplied Energy
2023
- ABatRe-Sim: A Comprehensive Framework for Automated Battery Recycling SimulationIEEE International Conference on Robotics and Biomimetics (ROBIO)
- Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and EconomyarXiv (Cornell University)
- Optimal battery thermal management for electric vehicles with battery degradation minimizationApplied Energy
2022
- Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint HandlingarXiv (Cornell University)
- Internal Short Circuit Detection for Parallel-Connected Battery Cells Using Convolutional Neural NetworkAutomotive Innovation
- Robust State of Health estimation of lithium-ion batteries using convolutional neural network and random forestJournal of Energy Storage
2020
- Individual Cell Fault Detection for Parallel-Connected Battery Cells Based on the Statistical Model and AnalysisProceedings of the ... American Control Conference/Proceedings of the American Control Conference
Paywalled, or no open-access copy was found. Links go to the publisher. Wrote one or know a free copy? Use “Help us add it” under the paper.
2026
- A meta-learning framework for battery lifetime prediction across unseen operating conditionsEnergy storage materialsHelp us add it: A meta-learning framework for battery lifetime prediction across unseen operating conditions
- Discovery Learning predicts battery cycle life from minimal experimentsNatureHelp us add it: Discovery Learning predicts battery cycle life from minimal experiments
- Efficient battery electrolyte design for electric aircraft driven by physics-augmented AIJouleHelp us add it: Efficient battery electrolyte design for electric aircraft driven by physics-augmented AI
- Exploring Light-Weight Data-Driven Framework for Battery Degradation Mode Quantification in PracticalSSRN Electronic JournalHelp us add it: Exploring Light-Weight Data-Driven Framework for Battery Degradation Mode Quantification in Practical
- Semantically embedded end-to-end deep learning for battery energy storage system state-of-health estimation using field dataeTransportationHelp us add it: Semantically embedded end-to-end deep learning for battery energy storage system state-of-health estimation using field data
2025
- Battery Electrode-Level Diagnostics: Enabled by a 2-Minute Transient ResponseIEEE Conference on Control Technology and Applications (CCTA)Help us add it: Battery Electrode-Level Diagnostics: Enabled by a 2-Minute Transient Response
- Enabling high-fidelity electrothermal modeling of electric flying car batteries: A physics-data hybrid approachApplied EnergyHelp us add it: Enabling high-fidelity electrothermal modeling of electric flying car batteries: A physics-data hybrid approach
- Energy storage management in electric vehiclesNature Reviews Clean TechnologyHelp us add it: Energy storage management in electric vehicles
- Evaluating the Generality and Effectiveness of Equivalent Circuit Models for Battery Strings With Heterogeneous Cells Connected in ParallelIEEE Transactions on Industrial InformaticsHelp us add it: Evaluating the Generality and Effectiveness of Equivalent Circuit Models for Battery Strings With Heterogeneous Cells Connected in Parallel
- Integrated Power and Thermal Management for Reducing Battery Degradation in Electrified Connected and Automated VehiclesProceedings of the ... American Control Conference/Proceedings of the American Control ConferenceHelp us add it: Integrated Power and Thermal Management for Reducing Battery Degradation in Electrified Connected and Automated Vehicles
- Mechanical information enhanced battery state-of-health estimationeTransportationHelp us add it: Mechanical information enhanced battery state-of-health estimation
- Optimal charging for large-scale heterogeneous electric vehicles: A novel paradigm based on learning and backward clusteringApplied EnergyHelp us add it: Optimal charging for large-scale heterogeneous electric vehicles: A novel paradigm based on learning and backward clustering
2024
- A Scalable Charging Algorithm for Heterogeneous EV Fleets Based on Clustering and Learning MethodsProceedings of the ... American Control Conference/Proceedings of the American Control ConferenceHelp us add it: A Scalable Charging Algorithm for Heterogeneous EV Fleets Based on Clustering and Learning Methods
- Battery pack capacity estimation for electric vehicles based on enhanced machine learning and field dataJournal of Energy ChemistryHelp us add it: Battery pack capacity estimation for electric vehicles based on enhanced machine learning and field data
- Bias-Compensated State Estimation Algorithm for Lithium Iron Phosphate Batteries with Flat OCV-SOC CurvesProceedings of the ... American Control Conference/Proceedings of the American Control ConferenceHelp us add it: Bias-Compensated State Estimation Algorithm for Lithium Iron Phosphate Batteries with Flat OCV-SOC Curves
- Co-estimation of state-of-charge and capacity for series-connected battery packs based on multi-method fusion and field dataJournal of Power SourcesHelp us add it: Co-estimation of state-of-charge and capacity for series-connected battery packs based on multi-method fusion and field data
- Enhancing Battery Monitoring under Real-World Driving Profiles through Physics-Guided Artificial IntelligenceIEEE Transportation Electrification Conference and ExpoHelp us add it: Enhancing Battery Monitoring under Real-World Driving Profiles through Physics-Guided Artificial Intelligence
- Integrated battery thermal and energy management for electric vehicles with hybrid energy storage system: A hierarchical approachEnergy Conversion and ManagementHelp us add it: Integrated battery thermal and energy management for electric vehicles with hybrid energy storage system: A hierarchical approach
- Integrated Framework for Accurate State Estimation of Lithium-Ion Batteries Subject to Measurement UncertaintiesIEEE Transactions on Power ElectronicsHelp us add it: Integrated Framework for Accurate State Estimation of Lithium-Ion Batteries Subject to Measurement Uncertainties
- Predictive Battery Thermal and Energy Management for Connected and Automated Electric VehiclesIEEE Transactions on Intelligent Transportation SystemsHelp us add it: Predictive Battery Thermal and Energy Management for Connected and Automated Electric Vehicles
- Resilient Operation of PV and Energy Storage Integrated Buildings against Heat Waves: A Deep Reinforcement Learning ApproachIEEE Power & Energy Society General Meeting (PESGM)Help us add it: Resilient Operation of PV and Energy Storage Integrated Buildings against Heat Waves: A Deep Reinforcement Learning Approach
- Techno-economic assessment of isolated micro-grids with second-life batteries: A reliability-oriented iterative design frameworkApplied EnergyHelp us add it: Techno-economic assessment of isolated micro-grids with second-life batteries: A reliability-oriented iterative design framework
2023
- A Health-Aware AC Heating Strategy With Lithium Plating Criterion for Batteries at Low TemperaturesIEEE Transactions on Industrial InformaticsHelp us add it: A Health-Aware AC Heating Strategy With Lithium Plating Criterion for Batteries at Low Temperatures
- Can retired lithium-ion batteries be a game changer in fast charging stations?eTransportationHelp us add it: Can retired lithium-ion batteries be a game changer in fast charging stations?
- Challenges and opportunities for second-life batteries: Key technologies and economyRenewable and Sustainable Energy ReviewsHelp us add it: Challenges and opportunities for second-life batteries: Key technologies and economy
- Lithium-ion battery, sodium-ion battery, or redox-flow battery: A comprehensive comparison in renewable energy systemsJournal of Power SourcesHelp us add it: Lithium-ion battery, sodium-ion battery, or redox-flow battery: A comprehensive comparison in renewable energy systems
- NMPC-Based Integrated Thermal Management of Battery and Cabin for Electric Vehicles in Cold Weather ConditionsIEEE Transactions on Intelligent VehiclesHelp us add it: NMPC-Based Integrated Thermal Management of Battery and Cabin for Electric Vehicles in Cold Weather Conditions
- Remaining Useful Life Prediction of Lithium-Ion Batteries With Limited Degradation History Using Random ForestIEEE Transactions on Transportation ElectrificationHelp us add it: Remaining Useful Life Prediction of Lithium-Ion Batteries With Limited Degradation History Using Random Forest
- The primary obstacle to unlocking large-scale battery digital twinsJouleHelp us add it: The primary obstacle to unlocking large-scale battery digital twins
2022
- Benefit assessment of second-life electric vehicle lithium-ion batteries in distributed power grid applicationsJournal of Energy StorageHelp us add it: Benefit assessment of second-life electric vehicle lithium-ion batteries in distributed power grid applications
- Hierarchical predictive control for electric vehicles with hybrid energy storage system under vehicle-following scenariosEnergyHelp us add it: Hierarchical predictive control for electric vehicles with hybrid energy storage system under vehicle-following scenarios
- Optimal sizing and learning-based energy management strategy of NCR/LTO hybrid battery system for electric taxisEnergyHelp us add it: Optimal sizing and learning-based energy management strategy of NCR/LTO hybrid battery system for electric taxis
- Progression of cell-to-cell variation within battery modules under different cooling structuresApplied EnergyHelp us add it: Progression of cell-to-cell variation within battery modules under different cooling structures
- Remaining useful life prediction for 18650 sodium-ion batteries based on incremental capacity analysisEnergyHelp us add it: Remaining useful life prediction for 18650 sodium-ion batteries based on incremental capacity analysis
- Toward high-accuracy and high-efficiency battery electrothermal modeling: A general approach to tackling modeling errorseTransportationHelp us add it: Toward high-accuracy and high-efficiency battery electrothermal modeling: A general approach to tackling modeling errors
2021
- Battery/Supercapacitor hybrid energy storage system in vehicle applicationsElsevier eBooksHelp us add it: Battery/Supercapacitor hybrid energy storage system in vehicle applications
- Economic Control for a Residential Photovoltaic-Battery System by Combining Stochastic Model Predictive Control and Improved Correction StrategyJournal of Energy Resources TechnologyHelp us add it: Economic Control for a Residential Photovoltaic-Battery System by Combining Stochastic Model Predictive Control and Improved Correction Strategy
2020
- A study of cell-to-cell variation of capacity in parallel-connected lithium-ion battery cellseTransportationHelp us add it: A study of cell-to-cell variation of capacity in parallel-connected lithium-ion battery cells
- Control Strategy for Battery/Flywheel Hybrid Energy Storage in Electric Shipboard MicrogridsIEEE Transactions on Industrial InformaticsHelp us add it: Control Strategy for Battery/Flywheel Hybrid Energy Storage in Electric Shipboard Microgrids
- Hybrid electrochemical energy storage systems: An overview for smart grid and electrified vehicle applicationsRenewable and Sustainable Energy ReviewsHelp us add it: Hybrid electrochemical energy storage systems: An overview for smart grid and electrified vehicle applications
2019
- A hierarchical energy management strategy for hybrid energy storage via vehicle-to-cloud connectivityApplied EnergyHelp us add it: A hierarchical energy management strategy for hybrid energy storage via vehicle-to-cloud connectivity
- Adaptive model predictive control for hybrid energy storage energy management in all-electric ship microgridsEnergy Conversion and ManagementHelp us add it: Adaptive model predictive control for hybrid energy storage energy management in all-electric ship microgrids
- Adaptively coordinated optimization of battery aging and energy management in plug-in hybrid electric busesApplied EnergyHelp us add it: Adaptively coordinated optimization of battery aging and energy management in plug-in hybrid electric buses
- Combined State and Parameter Estimation of Lithium-Ion Battery With Active Current InjectionIEEE Transactions on Power ElectronicsHelp us add it: Combined State and Parameter Estimation of Lithium-Ion Battery With Active Current Injection
- Comparison of semi-active hybrid battery system configurations for electric taxis applicationApplied EnergyHelp us add it: Comparison of semi-active hybrid battery system configurations for electric taxis application
- Evaluating the technological evolution of battery electric buses: China as a caseEnergyHelp us add it: Evaluating the technological evolution of battery electric buses: China as a case
- Optimal sizing of a wind-energy storage system considering battery lifeRenewable EnergyHelp us add it: Optimal sizing of a wind-energy storage system considering battery life
- Simultaneous Identification and Control for Hybrid Energy Storage System Using Model Predictive Control and Active Signal InjectionIEEE Transactions on Industrial ElectronicsHelp us add it: Simultaneous Identification and Control for Hybrid Energy Storage System Using Model Predictive Control and Active Signal Injection
- Technological direction prediction for battery electric bus under influence of China's new subsidy schemeJournal of Cleaner ProductionHelp us add it: Technological direction prediction for battery electric bus under influence of China's new subsidy scheme
2018
- Battery degradation minimization oriented energy management strategy for plug-in hybrid electric bus with multi-energy storage systemEnergyHelp us add it: Battery degradation minimization oriented energy management strategy for plug-in hybrid electric bus with multi-energy storage system
- Current Profile Optimization for Combined State of Charge and State of Health Estimation of Lithium Ion Battery Based on Cramer–Rao Bound AnalysisIEEE Transactions on Power ElectronicsHelp us add it: Current Profile Optimization for Combined State of Charge and State of Health Estimation of Lithium Ion Battery Based on Cramer–Rao Bound Analysis
- Parameter Identification and Maximum Power Estimation of Battery/Supercapacitor Hybrid Energy Storage System Based on Cramer–Rao Bound AnalysisIEEE Transactions on Power ElectronicsHelp us add it: Parameter Identification and Maximum Power Estimation of Battery/Supercapacitor Hybrid Energy Storage System Based on Cramer–Rao Bound Analysis
- Parameter identification of lithium-ion battery pack for different applications based on Cramer-Rao bound analysis and experimental studyApplied EnergyHelp us add it: Parameter identification of lithium-ion battery pack for different applications based on Cramer-Rao bound analysis and experimental study
- Performance of plug-in hybrid electric vehicle under low temperature condition and economy analysis of battery pre-heatingJournal of Power SourcesHelp us add it: Performance of plug-in hybrid electric vehicle under low temperature condition and economy analysis of battery pre-heating
- The battery-supercapacitor hybrid energy storage system in electric vehicle applications: A case studyEnergyHelp us add it: The battery-supercapacitor hybrid energy storage system in electric vehicle applications: A case study
2017
- Component sizing optimization of plug-in hybrid electric vehicles with the hybrid energy storage systemEnergyHelp us add it: Component sizing optimization of plug-in hybrid electric vehicles with the hybrid energy storage system
- Design method of a power management strategy for variable battery capacities range-extended electric vehicles to improve energy efficiency and cost-effectivenessEnergyHelp us add it: Design method of a power management strategy for variable battery capacities range-extended electric vehicles to improve energy efficiency and cost-effectiveness
- Sliding-mode and Lyapunov function-based control for battery/supercapacitor hybrid energy storage system used in electric vehiclesEnergyHelp us add it: Sliding-mode and Lyapunov function-based control for battery/supercapacitor hybrid energy storage system used in electric vehicles
- The influence of driving cycle characteristics on the integrated optimization of hybrid energy storage system for electric city busesEnergyHelp us add it: The influence of driving cycle characteristics on the integrated optimization of hybrid energy storage system for electric city buses
2015
- The optimization of a hybrid energy storage system at subzero temperatures: Energy management strategy design and battery heating requirement analysisApplied EnergyHelp us add it: The optimization of a hybrid energy storage system at subzero temperatures: Energy management strategy design and battery heating requirement analysis
2014
- A comparison study of different semi-active hybrid energy storage system topologies for electric vehiclesJournal of Power SourcesHelp us add it: A comparison study of different semi-active hybrid energy storage system topologies for electric vehicles
- Energy management strategies comparison for electric vehicles with hybrid energy storage systemApplied EnergyHelp us add it: Energy management strategies comparison for electric vehicles with hybrid energy storage system
- Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehiclesApplied EnergyHelp us add it: Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehicles
- Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approachApplied EnergyHelp us add it: Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach