Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries
Fuente:
arXiv
Saved in:
| Main Authors: | Tu, Hao, Moura, Scott, Wang, Yebin, Fang, Huazhen |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Remaining Discharge Energy Prediction for Lithium-Ion Batteries Over Broad Current Ranges: A Machine Learning Approach
by: Tu, Hao, et al.
Published: (2024)
by: Tu, Hao, et al.
Published: (2024)
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network
by: Wang, Zihao, et al.
Published: (2023)
by: Wang, Zihao, et al.
Published: (2023)
Blue and Green-Mode Energy-Efficient Nanoparticle-Based Chemiresistive Sensor Array Realized by Rapid Ensemble Learning
by: Wang, Zeheng, et al.
Published: (2024)
by: Wang, Zeheng, et al.
Published: (2024)
Machine Learning-Driven Prediction of Lithium-Ion Battery Power Capability for eVTOL Aircraft
by: Tu, Hao, et al.
Published: (2025)
by: Tu, Hao, et al.
Published: (2025)
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
by: Lee, Suk Ki, et al.
Published: (2025)
by: Lee, Suk Ki, et al.
Published: (2025)
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes
by: Sudarshan, Vikram, et al.
Published: (2024)
by: Sudarshan, Vikram, et al.
Published: (2024)
Efficient Training of Learning-Based Thermal Power Flow for 4th Generation District Heating Grids
by: Bott, Andreas, et al.
Published: (2024)
by: Bott, Andreas, et al.
Published: (2024)
Online Fine-Tuning of Carbon Emission Predictions using Real-Time Recurrent Learning for State Space Models
by: Lemmel, Julian, et al.
Published: (2025)
by: Lemmel, Julian, et al.
Published: (2025)
Integrated Optimal Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures
by: Lu, Zehui, et al.
Published: (2024)
by: Lu, Zehui, et al.
Published: (2024)
Input Convex Lipschitz Recurrent Neural Networks for Robust and Efficient Process Modeling and Optimization
by: Wang, Zihao, et al.
Published: (2024)
by: Wang, Zihao, et al.
Published: (2024)
Weighted Flow Matching and Physics-Informed Nonlinear Filtering for Parameter Estimation in Digital Twins
by: Yanik, Yasar, et al.
Published: (2026)
by: Yanik, Yasar, et al.
Published: (2026)
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization
by: Tu, Hao, et al.
Published: (2024)
by: Tu, Hao, et al.
Published: (2024)
C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design
by: Bagazinski, Noah J., et al.
Published: (2024)
by: Bagazinski, Noah J., et al.
Published: (2024)
Simulation-Based Validation of an Integrated 4D/5D Digital-Twin Framework for Predictive Construction Control
by: Khoshkonesh, Atena, et al.
Published: (2025)
by: Khoshkonesh, Atena, et al.
Published: (2025)
PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models
by: Yuan, Mingze, et al.
Published: (2025)
by: Yuan, Mingze, et al.
Published: (2025)
Reliability comparison of vessel trajectory prediction models via Probability of Detection
by: Rastin, Zahra, et al.
Published: (2025)
by: Rastin, Zahra, et al.
Published: (2025)
SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured Data, with Applications to Stuart-Landau Oscillator Networks
by: Basiri, Mohammad Amin, et al.
Published: (2024)
by: Basiri, Mohammad Amin, et al.
Published: (2024)
System Identification of a Moored ASV with Recessed Moon Pool via Deterministic and Bayesian Hankel-DMDc
by: Palma, Giorgio, et al.
Published: (2025)
by: Palma, Giorgio, et al.
Published: (2025)
EngiBench: A Framework for Data-Driven Engineering Design Research
by: Felten, Florian, et al.
Published: (2025)
by: Felten, Florian, et al.
Published: (2025)
Scaling up machine learning-based chemical plant simulation: A method for fine-tuning a model to induce stable fixed points
by: Esders, Malte, et al.
Published: (2023)
by: Esders, Malte, et al.
Published: (2023)
Data-driven uncertainty-aware seakeeping prediction of the Delft 372 catamaran using ensemble Hankel dynamic mode decomposition
by: Palma, Giorgio, et al.
Published: (2025)
by: Palma, Giorgio, et al.
Published: (2025)
Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks
by: Zhang, Zhiyu, et al.
Published: (2024)
by: Zhang, Zhiyu, et al.
Published: (2024)
Data-driven Sensor Placement for Predictive Applications: A Correlation-Assisted Attribution Framework (CAAF)
by: Leung, Sze Chai, et al.
Published: (2025)
by: Leung, Sze Chai, et al.
Published: (2025)
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
by: Kouw, Wouter M., et al.
Published: (2024)
by: Kouw, Wouter M., et al.
Published: (2024)
Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning
by: Radaideh, Majdi I., et al.
Published: (2024)
by: Radaideh, Majdi I., et al.
Published: (2024)
Data-driven Power Flow Linearization: Theory
by: Jia, Mengshuo, et al.
Published: (2024)
by: Jia, Mengshuo, et al.
Published: (2024)
Towards Autonomous Experimentation: Bayesian Optimization over Problem Formulation Space for Accelerated Alloy Development
by: Khatamsaz, Danial, et al.
Published: (2025)
by: Khatamsaz, Danial, et al.
Published: (2025)
Harnessing Implicit Cooperation: A Multi-Agent Reinforcement Learning Approach Towards Decentralized Local Energy Markets
by: Salazar-Pena, Nelson, et al.
Published: (2026)
by: Salazar-Pena, Nelson, et al.
Published: (2026)
Discovery Learning accelerates battery design evaluation
by: Zhang, Jiawei, et al.
Published: (2025)
by: Zhang, Jiawei, et al.
Published: (2025)
Foundation Models for the Electric Power Grid
by: Hamann, Hendrik F., et al.
Published: (2024)
by: Hamann, Hendrik F., et al.
Published: (2024)
Scenario-based Thermal Management Parametrization Through Deep Reinforcement Learning
by: Rudolf, Thomas, et al.
Published: (2024)
by: Rudolf, Thomas, et al.
Published: (2024)
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
by: Rajendran, Goutham, et al.
Published: (2023)
by: Rajendran, Goutham, et al.
Published: (2023)
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
by: Zhang, Xiangyuan, et al.
Published: (2023)
by: Zhang, Xiangyuan, et al.
Published: (2023)
Accelerating Fleet Upgrade Decisions with Machine-Learning Enhanced Optimization
by: Chai, Kenrick Howin, et al.
Published: (2025)
by: Chai, Kenrick Howin, et al.
Published: (2025)
Controlling Large Electric Vehicle Charging Stations via User Behavior Modeling and Stochastic Programming
by: Puech, Alban, et al.
Published: (2024)
by: Puech, Alban, et al.
Published: (2024)
Laser Scan Path Design for Controlled Microstructure in Additive Manufacturing with Integrated Reduced-Order Phase-Field Modeling and Deep Reinforcement Learning
by: Twumasi, Augustine, et al.
Published: (2025)
by: Twumasi, Augustine, et al.
Published: (2025)
Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models
by: Chen, Long, et al.
Published: (2025)
by: Chen, Long, et al.
Published: (2025)
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series
by: Correia, Lucas, et al.
Published: (2024)
by: Correia, Lucas, et al.
Published: (2024)
Virtual Sensing for Solder Layer Degradation and Temperature Monitoring in IGBT Modules
by: Urgolo, Andrea, et al.
Published: (2025)
by: Urgolo, Andrea, et al.
Published: (2025)
PHAST: Port-Hamiltonian Architecture for Structured Temporal Dynamics Forecasting
by: Bhardwaj, Shubham, et al.
Published: (2026)
by: Bhardwaj, Shubham, et al.
Published: (2026)
Similar Items
-
Remaining Discharge Energy Prediction for Lithium-Ion Batteries Over Broad Current Ranges: A Machine Learning Approach
by: Tu, Hao, et al.
Published: (2024) -
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network
by: Wang, Zihao, et al.
Published: (2023) -
Blue and Green-Mode Energy-Efficient Nanoparticle-Based Chemiresistive Sensor Array Realized by Rapid Ensemble Learning
by: Wang, Zeheng, et al.
Published: (2024) -
Machine Learning-Driven Prediction of Lithium-Ion Battery Power Capability for eVTOL Aircraft
by: Tu, Hao, et al.
Published: (2025) -
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
by: Lee, Suk Ki, et al.
Published: (2025)