Image de couverture de livre

Driving behavior-guided battery health monitoring for electric vehicles using machine learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiang, Nanhua, Zhang, Jiawei, Jiang, Weiran, Ren, Yao, Lin, Jing, Khoo, Edwin, Song, Ziyou
Format:	Preprint
Publié:	2023
Sujets:	Systems and Control Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Discovery Learning accelerates battery design evaluation
par: Zhang, Jiawei, et autres
Publié: (2025)

Real-Time Physics-Aware Battery Health Monitoring from Partial Charging Profiles via Physics-Informed Neural Networks
par: Gu, Xubo, et autres
Publié: (2025)

Integrated Power and Thermal Management for Enhancing Energy Efficiency and Battery Life in Connected and Automated Electric Vehicles
par: Li, Dongjun, et autres
Publié: (2024)

Enhanced Battery Capacity Estimation in Data-Limited Scenarios through Swarm Learning
par: Zhang, Jiawei, et autres
Publié: (2025)

Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries
par: Yi, Baozhao, et autres
Publié: (2024)

Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries
par: Lanubile, Andrea, et autres
Publié: (2024)

Effects of eco-driving on energy consumption and battery degradation for electric vehicles at signalized intersections
par: Wang, Yongqiang, et autres
Publié: (2024)

Why we need a standardized state of health definition for electric vehicle battery packs -- a proposal for energy- and capacity-based metrics
par: Bilfinger, Philip, et autres
Publié: (2025)

Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
par: Lu, Ke, et autres
Publié: (2024)

The impact of the following vehicles behaviors on the car following behaviors of the ego-vehicle
par: Liu, Yang, et autres
Publié: (2025)

Lifelong reinforcement learning for health-aware fast charging of lithium-ion batteries
par: Yuan, Meng, et autres
Publié: (2025)

System-level thermal and electrical modeling of battery systems for electric aircraft design
par: Kuijpers, Thomas, et autres
Publié: (2024)

Analyzing electric vehicle, load and photovoltaic generation uncertainty using publicly available datasets
par: Hashmi, Md Umar, et autres
Publié: (2024)

Personalized electric vehicle energy consumption estimation framework that integrates driver behavior with map data
par: Rachavelpula, Sreechakra Vasudeva Raju, et autres
Publié: (2026)

Optimizing electric vehicles charging through smart energy allocation and cost-saving
par: Ambrosino, Luca, et autres
Publié: (2024)

Multi-layer optimisation of hybrid energy storage systems for electric vehicles
par: Andriesse, Wouter, et autres
Publié: (2024)

Differentially-Private Distributed Model Predictive Control of Linear Discrete-Time Systems with Global Constraints
par: Zhang, Kaixiang, et autres
Publié: (2024)

Energy-efficient torque allocation for straight-line driving of electric vehicles based on pseudoconvex polynomials
par: Hromatko, Josip Kir, et autres
Publié: (2026)

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
par: Liu, Chi, et autres
Publié: (2025)

Novel pre-emptive control solutions for V2X connected electric vehicles
par: So, Kai Man, et autres
Publié: (2024)

Coordinated vehicle dispatching and charging scheduling for an electric ride-hailing fleet under charging congestion and dynamic prices
par: Ma, Tai-Yu, et autres
Publié: (2024)

Economic data-enabled predictive control using machine learning
par: Yan, Mingxue, et autres
Publié: (2025)

Diagnostic-free onboard battery health assessment
par: Che, Yunhong, et autres
Publié: (2025)

Robust and learning-augmented algorithms for degradation-aware battery optimization
par: Umenberger, Jack, et autres
Publié: (2026)

EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of electric vehicle charging infrastructure
par: Balogun, Emmanuel, et autres
Publié: (2024)

Physics-informed machine learning for building performance simulation-A review of a nascent field
par: Jiang, Zixin, et autres
Publié: (2025)

A behavior driven approach for sampling rare event situations for autonomous vehicles
par: Sarkar, Atrisha, et autres
Publié: (2019)

Considering the multi-time scale rolling optimization scheduling method of micro-energy network connected to electric vehicles
par: Liu, Hengyu, et autres
Publié: (2025)

Adaptive formation motion planning and control of autonomous underwater vehicles using deep reinforcement learning
par: Hadi, Behnaz, et autres
Publié: (2023)

Close-enough general routing problem for multiple unmanned aerial vehicles in monitoring missions
par: Liu, Huan, et autres
Publié: (2026)

Physics-Augmented Data-EnablEd Predictive Control for Eco-driving of Mixed Traffic Considering Diverse Human Behaviors
par: Li, Dongjun, et autres
Publié: (2023)

Modeling the residual queue and queue-dependent capacity in a static traffic assignment problem
par: Fu, Hao, et autres
Publié: (2025)

Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles
par: Dengiz, Thomas, et autres
Publié: (2024)

GreenScan: Towards large-scale terrestrial monitoring the health of urban trees using mobile sensing
par: Gupta, Akshit, et autres
Publié: (2023)

Modeling and control of a low-cost multirotor hybrid aerial underwater vehicle
par: Wang, RenKai, et autres
Publié: (2025)

Dual-quaternion learning control for autonomous vehicle trajectory tracking with safety guarantees
par: Nieto, Omayra Yago, et autres
Publié: (2026)

Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles
par: Zhang, Hao, et autres
Publié: (2024)

Data-Enabled Neighboring Extremal: Case Study on Model-Free Trajectory Tracking for Robotic Arm
par: Vahidi-Moghaddam, Amin, et autres
Publié: (2025)

Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
par: Lin, Yuan, et autres
Publié: (2024)

Incremental capacity-based multi-feature fusion model for predicting state-of-health of lithium-ion batteries
par: Jia, Chenyu, et autres
Publié: (2025)