Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Tingkai, Zhou, Zihao, Thelen, Adam, Howey, David, Hu, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Physics-Informed Machine Learning for Battery Degradation Diagnostics: A Comparison of State-of-the-Art Methods
by: Navidi, Sina, et al.
Published: (2024)
by: Navidi, Sina, et al.
Published: (2024)
World Model for Battery Degradation Prediction Under Non-Stationary Aging
by: Lim, Kai Chin, et al.
Published: (2026)
by: Lim, Kai Chin, et al.
Published: (2026)
Fully First-Order Algorithms for Online Bilevel Optimization
by: Jia, Tingkai, et al.
Published: (2026)
by: Jia, Tingkai, et al.
Published: (2026)
Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization
by: Jia, Tingkai, et al.
Published: (2026)
by: Jia, Tingkai, et al.
Published: (2026)
Fast dynamic time warping and clustering in C++
by: Kumtepeli, Volkan, et al.
Published: (2023)
by: Kumtepeli, Volkan, et al.
Published: (2023)
Mini-Game Lifetime Value Prediction in WeChat
by: Chen, Aochuan, et al.
Published: (2025)
by: Chen, Aochuan, 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)
Conditional Diffusion Modeling with Attention for Probabilistic Battery Capacity Prediction under Real-World Condition
by: Jiang, Chunlin, et al.
Published: (2025)
by: Jiang, Chunlin, et al.
Published: (2025)
Predicting Public Health Impacts of Electricity Usage
by: Liu, Yejia, et al.
Published: (2025)
by: Liu, Yejia, et al.
Published: (2025)
TGT: A Temporal Gating Transformer for Smartphone App Usage Prediction
by: Li, Longlong, et al.
Published: (2025)
by: Li, Longlong, et al.
Published: (2025)
Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions
by: Olivares, David, et al.
Published: (2024)
by: Olivares, David, et al.
Published: (2024)
ElastiFormer: Learned Redundancy Reduction in Transformer via Self-Distillation
by: Liu, Junzhang, et al.
Published: (2024)
by: Liu, Junzhang, et al.
Published: (2024)
Decentralized Stochastic Nonconvex Optimization under the Relaxed Smoothness
by: Luo, Luo, et al.
Published: (2025)
by: Luo, Luo, et al.
Published: (2025)
The Adoption and Usage of AI Agents: Early Evidence from Perplexity
by: Yang, Jeremy, et al.
Published: (2025)
by: Yang, Jeremy, et al.
Published: (2025)
Prediction-Powered Conditional Inference
by: Sui, Yang, et al.
Published: (2026)
by: Sui, Yang, et al.
Published: (2026)
Investigating Data Usage for Inductive Conformal Predictors
by: Fang, Yizirui, et al.
Published: (2024)
by: Fang, Yizirui, et al.
Published: (2024)
On the Usage of Gaussian Process for Efficient Data Valuation
by: Bénesse, Clément, et al.
Published: (2025)
by: Bénesse, Clément, et al.
Published: (2025)
Smartphone App Usage Prediction Using Points of Interest
by: Yu, Donghan, et al.
Published: (2017)
by: Yu, Donghan, et al.
Published: (2017)
Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression
by: Yan, Tingkai, et al.
Published: (2025)
by: Yan, Tingkai, et al.
Published: (2025)
Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions
by: Jalonen, Tuomas, et al.
Published: (2023)
by: Jalonen, Tuomas, et al.
Published: (2023)
Position: Lifetime tuning is incompatible with continual reinforcement learning
by: Mesbahi, Golnaz, et al.
Published: (2024)
by: Mesbahi, Golnaz, et al.
Published: (2024)
Robust Length Prediction: A Perspective from Heavy-Tailed Prompt-Conditioned Distributions
by: Wang, Jing, et al.
Published: (2026)
by: Wang, Jing, et al.
Published: (2026)
Predicting Customer Lifetime Value Using Recurrent Neural Net
by: Chen, Huigang, et al.
Published: (2024)
by: Chen, Huigang, et al.
Published: (2024)
Multiscale Dual-path Feature Aggregation Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
by: Lv, Zihao, et al.
Published: (2025)
by: Lv, Zihao, et al.
Published: (2025)
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
by: Cao, Xinzhe, et al.
Published: (2024)
by: Cao, Xinzhe, et al.
Published: (2024)
DavIR: Data Selection via Implicit Reward for Large Language Models
by: Zhou, Haotian, et al.
Published: (2023)
by: Zhou, Haotian, et al.
Published: (2023)
Flexible Parallel Neural Network Architecture Model for Early Prediction of Lithium Battery Life
by: Jiang, Lidang, et al.
Published: (2024)
by: Jiang, Lidang, et al.
Published: (2024)
Online Learning Models for Vehicle Usage Prediction During COVID-19
by: Lindroth, Tobias, et al.
Published: (2022)
by: Lindroth, Tobias, et al.
Published: (2022)
Interpretable Battery Aging without Extra Tests via Neural-Assisted Physics-based Modelling
by: Qiu, Yuan, et al.
Published: (2026)
by: Qiu, Yuan, et al.
Published: (2026)
Aging Decline in Basketball Career Trend Prediction Based on Machine Learning and LSTM Model
by: Yao, Yi-chen, et al.
Published: (2025)
by: Yao, Yi-chen, et al.
Published: (2025)
Refined Edge Usage of Graph Neural Networks for Edge Prediction
by: Jin, Jiarui, et al.
Published: (2022)
by: Jin, Jiarui, et al.
Published: (2022)
Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning
by: Irureta, Jon, et al.
Published: (2026)
by: Irureta, Jon, et al.
Published: (2026)
Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
by: Adachi, Masaki, et al.
Published: (2022)
by: Adachi, Masaki, et al.
Published: (2022)
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
by: Weng, Yunpeng, et al.
Published: (2024)
by: Weng, Yunpeng, et al.
Published: (2024)
Conditional Inverse Learning of Time-Varying Reproduction Numbers Inference
by: Yu, Lanlan, et al.
Published: (2026)
by: Yu, Lanlan, et al.
Published: (2026)
Hybrid Deep Learning with Temporal Data Augmentation for Accurate Remaining Useful Life Prediction of Lithium-Ion Batteries
by: Tian, Yun, et al.
Published: (2026)
by: Tian, Yun, et al.
Published: (2026)
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
by: Sandler, Adam, et al.
Published: (2019)
by: Sandler, Adam, et al.
Published: (2019)
Fast Conformal Prediction using Conditional Interquantile Intervals
by: Guo, Naixin, et al.
Published: (2026)
by: Guo, Naixin, et al.
Published: (2026)
Deep Operator Networks for Surrogate Modeling of Cyclic Adsorption Processes with Varying Initial Conditions
by: Ceccanti, Beatrice, et al.
Published: (2026)
by: Ceccanti, Beatrice, et al.
Published: (2026)
Predicting and Explaining Hearing Aid Usage Using Encoder-Decoder with Attention Mechanism and SHAP
by: Su, Qiqi, et al.
Published: (2024)
by: Su, Qiqi, et al.
Published: (2024)
Similar Items
-
Physics-Informed Machine Learning for Battery Degradation Diagnostics: A Comparison of State-of-the-Art Methods
by: Navidi, Sina, et al.
Published: (2024) -
World Model for Battery Degradation Prediction Under Non-Stationary Aging
by: Lim, Kai Chin, et al.
Published: (2026) -
Fully First-Order Algorithms for Online Bilevel Optimization
by: Jia, Tingkai, et al.
Published: (2026) -
Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization
by: Jia, Tingkai, et al.
Published: (2026) -
Fast dynamic time warping and clustering in C++
by: Kumtepeli, Volkan, et al.
Published: (2023)