Saved in:
| Main Authors: | Huang, Yicun, Zou, Changfu, Li, Yang, Wik, Torsten |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2304.14422 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Thermal Modelling of Battery Cells for Optimal Tab and Surface Cooling Control
by: Peprah, Godwin K., et al.
Published: (2024)
by: Peprah, Godwin K., et al.
Published: (2024)
A Unified Model for Active Battery Equalization Systems
by: Ouyang, Quan, et al.
Published: (2024)
by: Ouyang, Quan, et al.
Published: (2024)
Reinforcement Learning-based Home Energy Management with Heterogeneous Batteries and Stochastic EV Behaviour
by: Yuan, Meng, et al.
Published: (2026)
by: Yuan, Meng, et al.
Published: (2026)
Online Aging-Aware Energy Optimization for Vehicle-Home-Grid Integration
by: Popolizio, Francesco, et al.
Published: (2025)
by: Popolizio, Francesco, et al.
Published: (2025)
Smart Sensing Breaks the Accuracy Barrier in Battery State Monitoring
by: Bian, Xiaolei, et al.
Published: (2025)
by: Bian, Xiaolei, et al.
Published: (2025)
Online Energy Management for Bidirectional EV Charging with Rooftop PV: An Aging-Aware MPC Approach
by: Popolizio, Francesco, et al.
Published: (2026)
by: Popolizio, Francesco, et al.
Published: (2026)
A statistical approach to latent dynamic modeling with differential equations
by: Hackenberg, Maren, et al.
Published: (2023)
by: Hackenberg, Maren, et al.
Published: (2023)
Pretrained battery transformer (PBT): A foundation model for universal battery life prediction
by: Tan, Ruifeng, et al.
Published: (2025)
by: Tan, Ruifeng, et al.
Published: (2025)
Learning battery model parameter dynamics from data with recursive Gaussian process regression
by: Aitio, Antti, et al.
Published: (2023)
by: Aitio, Antti, et al.
Published: (2023)
Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development
by: Xu, Changfu, et al.
Published: (2025)
by: Xu, Changfu, et al.
Published: (2025)
Learning dynamical systems with biochemically informed neural ordinary differential equations
by: Fonseca, Luis L., et al.
Published: (2026)
by: Fonseca, Luis L., et al.
Published: (2026)
Learning by solving differential equations
by: Dherin, Benoit, et al.
Published: (2025)
by: Dherin, Benoit, et al.
Published: (2025)
Lifelong reinforcement learning for health-aware fast charging of lithium-ion batteries
by: Yuan, Meng, et al.
Published: (2025)
by: Yuan, Meng, et al.
Published: (2025)
Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics
by: Liu, Xin-Yang, et al.
Published: (2022)
by: Liu, Xin-Yang, et al.
Published: (2022)
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
by: Liu, Zhiyuan, et al.
Published: (2025)
by: Liu, Zhiyuan, et al.
Published: (2025)
Learning to fuse: dynamic integration of multi-source data for accurate battery lifespan prediction
by: Shanxuan, He, et al.
Published: (2025)
by: Shanxuan, He, et al.
Published: (2025)
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
by: Hassanaly, Malik, et al.
Published: (2023)
by: Hassanaly, Malik, et al.
Published: (2023)
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks
by: Cox, Benjamin, et al.
Published: (2024)
by: Cox, Benjamin, et al.
Published: (2024)
Generating solution paths of Markovian stochastic differential equations using diffusion models
by: Gao, Xuefeng, et al.
Published: (2025)
by: Gao, Xuefeng, et al.
Published: (2025)
Invertible Koopman neural operator for data-driven modeling of partial differential equations
by: Jin, Yuhong, et al.
Published: (2025)
by: Jin, Yuhong, et al.
Published: (2025)
Learning partially observed systems with neural Hamiltonian ordinary differential equations
by: Meltzer, Sunniva, et al.
Published: (2026)
by: Meltzer, Sunniva, et al.
Published: (2026)
Spectral Analysis of Approximated Capacity Fade Curvature for Lithium-Ion Batteries
by: Zhang, Huang, et al.
Published: (2025)
by: Zhang, Huang, et al.
Published: (2025)
Towards true discovery of the differential equations
by: Hvatov, Alexander, et al.
Published: (2023)
by: Hvatov, Alexander, et al.
Published: (2023)
Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology
by: Pillonetto, G., et al.
Published: (2025)
by: Pillonetto, G., et al.
Published: (2025)
Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations
by: Zhang, Benjamin J., et al.
Published: (2025)
by: Zhang, Benjamin J., et al.
Published: (2025)
A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
by: Shukla, Khemraj, et al.
Published: (2024)
by: Shukla, Khemraj, et al.
Published: (2024)
Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks
by: Xu, Changfu, et al.
Published: (2024)
by: Xu, Changfu, et al.
Published: (2024)
Symmetry-regularized neural ordinary differential equations
by: Hao, Wenbo
Published: (2023)
by: Hao, Wenbo
Published: (2023)
Fisher information dissipation for time inhomogeneous stochastic differential equations
by: Feng, Qi, et al.
Published: (2024)
by: Feng, Qi, et al.
Published: (2024)
Limited Reference, Reliable Generation: A Two-Component Framework for Tabular Data Generation in Low-Data Regimes
by: Jiang, Mingxuan, et al.
Published: (2025)
by: Jiang, Mingxuan, et al.
Published: (2025)
Physics-constrained coupled neural differential equations for one dimensional blood flow modeling
by: Csala, Hunor, et al.
Published: (2024)
by: Csala, Hunor, et al.
Published: (2024)
PI-MFM: Physics-informed multimodal foundation model for solving partial differential equations
by: Zhu, Min, et al.
Published: (2025)
by: Zhu, Min, et al.
Published: (2025)
A novel Neural-ODE model for the state of health estimation of lithium-ion battery using charging curve
by: Li, Yiming, et al.
Published: (2025)
by: Li, Yiming, et al.
Published: (2025)
Neural delay differential equations: learning non-Markovian closures for partially known dynamical systems
by: Monsel, Thibault, et al.
Published: (2024)
by: Monsel, Thibault, et al.
Published: (2024)
Invariant deep neural networks under the finite group for solving partial differential equations
by: Zhang, Zhi-Yong, et al.
Published: (2024)
by: Zhang, Zhi-Yong, et al.
Published: (2024)
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
Layer-wise dynamic rank for compressing large language models
by: Mi, Zhendong, et al.
Published: (2025)
by: Mi, Zhendong, et al.
Published: (2025)
Discretization-independent multifidelity operator learning for partial differential equations
by: Hauck, Jacob, et al.
Published: (2025)
by: Hauck, Jacob, et al.
Published: (2025)
Comment on "Machine learning conservation laws from differential equations"
by: Zimmer, Michael F.
Published: (2024)
by: Zimmer, Michael F.
Published: (2024)
Robust identifiability for symbolic recovery of differential equations
by: Hauger, Hillary, et al.
Published: (2024)
by: Hauger, Hillary, et al.
Published: (2024)
Similar Items
-
Thermal Modelling of Battery Cells for Optimal Tab and Surface Cooling Control
by: Peprah, Godwin K., et al.
Published: (2024) -
A Unified Model for Active Battery Equalization Systems
by: Ouyang, Quan, et al.
Published: (2024) -
Reinforcement Learning-based Home Energy Management with Heterogeneous Batteries and Stochastic EV Behaviour
by: Yuan, Meng, et al.
Published: (2026) -
Online Aging-Aware Energy Optimization for Vehicle-Home-Grid Integration
by: Popolizio, Francesco, et al.
Published: (2025) -
Smart Sensing Breaks the Accuracy Barrier in Battery State Monitoring
by: Bian, Xiaolei, et al.
Published: (2025)