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References from Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems. Local targets link to admitted publications; unresolved targets remain external evidence.
Degradation diagnostics for lithium ion cells
10.1016/j.jpowsour.2016.12.011 · 2017 · External reference
Lithium-ion battery fast charging: a review
10.1016/j.etran.2019.100011 · 2019 · External reference
Review and performance comparison of mechanical-chemical degradation models for lithium-ion batteries
10.1149/2.0281914jes · 2019 · External reference
Experimental investigation of parametric cell-to-cell variation and correlation based on 1100 commercial lithium-ion cells
10.1016/j.est.2017.09.010 · 2017 · External reference
Cost modeling of lithium-ion battery cells for automotive applications
10.1002/ese3.47 · 2015 · External reference
Modeling Diffusion-Induced Stress in Li-Ion Cells with Porous Electrodes
10.1149/1.3269995 · 2010 · External reference
Electrochemical Thermal-Mechanical Modelling of Stress Inhomogeneity in Lithium-Ion Pouch Cells
10.1149/2.0122001jes · 2020 · External reference
The effect of thermal gradients on the performance of lithium-ion batteries
10.1016/j.jpowsour.2013.06.084 · 2014 · External reference
Surface Cooling Causes Accelerated Degradation Compared to Tab Cooling for Lithium-Ion Pouch Cells
10.1149/2.0361609jes · 2016 · External reference
A Wide Range of Testing Results on an Excellent Lithium-Ion Cell Chemistry to be used as Benchmarks for New Battery Technologies
10.1149/2.0981913jes · 2019 · External reference
On the possibility of extending the lifetime of lithium-ion batteries through optimal V2G facilitated by an integrated vehicle and smart-grid system
10.1016/j.energy.2017.04.116 · 2017 · External reference
Unresolved reference
External reference
A physically meaningful equivalent circuit network model of a lithium-ion battery accounting for local electrochemical and thermal behaviour, variable double layer capacitance and degradation
10.1016/j.jpowsour.2016.05.051 · 2016 · External reference
An easy-to-parameterise physics-informed battery model and its application towards lithium-ion battery cell design, diagnosis, and degradation
10.1016/j.jpowsour.2018.02.065 · 2018 · External reference
Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell
10.1149/1.2221597 · 1993 · External reference
10.1149/osf.io/67ckj
10.1149/osf.io/67ckj · External reference
LIONSIMBA: a Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control
10.1149/2.0291607jes · 2016 · External reference
Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models
10.1149/1945-7111/ab9050 · 2020 · External reference
Parameterization of a Physico-Chemical Model of a Lithium-Ion Battery
10.1149/2.0551509jes · 2015 · External reference
Parameter sensitivity analysis of electrochemical model-based battery management systems for lithium-ion batteries
10.1016/j.apenergy.2020.115104 · 2020 · External reference
GITT Analysis of Lithium Insertion Cathodes for Determining the Lithium Diffusion Coefficient at Low Temperature: challenges and Pitfalls
2020 · External reference
Battery State Estimation for a Single Particle Model with Electrolyte Dynamics
10.1109/tcst.2016.2571663 · 2017 · External reference
Extension of physics-based single particle model for higher charge-discharge rates
10.1016/j.jpowsour.2012.09.084 · 2013 · External reference
Battery Lifetime Prognostics
10.1016/j.joule.2019.11.018 · 2020 · External reference
Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries
10.1149/2.1181714jes · 2018 · External reference
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 3. State and parameter estimation
10.1016/j.jpowsour.2004.02.033 · 2004 · External reference
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 2. Modeling and identification
10.1016/j.jpowsour.2004.02.032 · 2004 · External reference
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 1. Background
10.1016/j.jpowsour.2004.02.031 · 2004 · External reference
Optimal Charging Profiles with Minimal Intercalation-Induced Stresses for Lithium-Ion Batteries Using Reformulated Pseudo 2-Dimensional Models
10.1149/2.0211411jes · 2014 · External reference
Model-Instructed Design of Novel Charging Protocols for the Extreme Fast Charging of Lithium-Ion Batteries Without Lithium Plating
10.1149/1945-7111/ab8c84 · 2020 · External reference
Thermal runaway mechanism of lithium ion battery for electric vehicles: a review
10.1016/j.ensm.2017.05.013 · 2018 · External reference
Module design and fault diagnosis in electric vehicle batteries
10.1016/j.jpowsour.2012.01.087 · 2012 · External reference
Coupled thermal–electrochemical modelling of uneven heat generation in lithium-ion battery packs
10.1016/j.jpowsour.2013.05.164 · 2013 · External reference
The effect of cell-to-cell variations and thermal gradients on the performance and degradation of lithium-ion battery packs
10.1016/j.apenergy.2019.04.108 · 2019 · External reference
Synthesize battery degradation modes via a diagnostic and prognostic model
10.1016/j.jpowsour.2012.07.016 · 2012 · External reference
Local degradation and differential voltage analysis of aged lithium-ion pouch cells
10.1016/j.est.2020.101582 · 2020 · External reference
Differential thermal voltammetry for tracking of degradation in lithium-ion batteries
10.1016/j.jpowsour.2014.09.127 · 2015 · External reference
Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries
10.1016/j.jpowsour.2015.12.122 · 2016 · External reference
A reliable approach of differentiating discrete sampled-data for battery diagnosis
10.1016/j.etran.2020.100051 · 2020 · External reference
Review—Development of Diagnostic Process for Commercially Available Batteries, Especially Lithium Ion Battery, by Electrochemical Impedance Spectroscopy
10.1149/2.0141514jes · 2015 · External reference
Online measurement of battery impedance using motor controller excitation
10.1109/tvt.2013.2293597 · 2014 · External reference
Battery internal temperature estimation by combined impedance and surface temperature measurement
10.1016/j.jpowsour.2014.04.129 · 2014 · External reference
The distribution of relaxation times as basis for generalized time-domain models for Li-ion batteries
10.1016/j.jpowsour.2012.07.100 · 2013 · External reference
Thermo-electrochemical instrumentation of cylindrical Li-ion cells
10.1016/j.jpowsour.2018.01.060 · 2018 · External reference
The design and impact of in-situ and operando thermal sensing for smart energy storage
10.1016/j.est.2019.01.026 · 2019 · External reference
Understanding the limits of rapid charging using instrumented commercial 18650 high-energy Li-ion cells
10.1016/j.electacta.2018.01.076 · 2018 · External reference
Electrochemical-acoustic time of flight: in operando correlation of physical dynamics with battery charge and health
10.1039/c5ee00111k · 2015 · External reference
In Operando Acoustic Detection of Lithium Metal Plating in Commercial LiCoO2/Graphite Pouch Cells
10.1016/j.xcrp.2020.100035 · 2020 · External reference
Multi-scale investigation of thickness changes in a commercial pouch type lithium-ion battery
10.1016/j.est.2016.01.006 · 2016 · External reference
BEEP: a Python library for Battery Evaluation and Early Prediction
10.1016/j.softx.2020.100506 · 2020 · External reference
Unresolved reference
External reference
Predicting the state of charge and health of batteries using data-driven machine learning
10.1038/s42256-020-0156-7 · 2020 · External reference
Data-driven health estimation and lifetime prediction of lithium-ion batteries: a review
2019 · External reference
Data-driven prediction of battery cycle life before capacity degradation
10.1038/s41560-019-0356-8 · 2019 · External reference
A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter
10.1016/j.jpowsour.2017.10.092 · 2018 · External reference
10.1016/j.egyai.2020.100006 · 2020 · Admitted local publication
Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery
10.1016/j.apenergy.2014.04.077 · 2014 · External reference
Closed-loop optimization of fast-charging protocols for batteries with machine learning
10.1038/s41586-020-1994-5 · 2020 · External reference
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
10.1038/s41467-020-15235-7 · 2020 · External reference
10.26434/chemrxiv.12152529.v1
10.26434/chemrxiv.12152529.v1 · External reference
Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries
10.1038/s41524-020-0340-7 · 2020 · External reference
10.1016/j.egyai.2020.100004 · 2020 · Admitted local publication
Digital twin: values, challenges and enablers from a modeling perspective
10.1109/access.2020.2970143 · 2020 · External reference
Digital twin-driven product design, manufacturing and service with big data
10.1007/s00170-017-0233-1 · 2018 · External reference
10.1016/j.egyai.2020.100002 · 2020 · Admitted local publication
From ROM of Electrochemistry to AI-Based Battery Digital and Hybrid Twin
2020 · External reference
Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data - Part B: cycling operation
2020 · External reference
CHAIN: cyber Hierarchy and Interactional Network Enabling Digital Solution for Battery Full-Lifespan Management
10.1016/j.matt.2020.04.015 · 2020 · External reference
Fostering a Sustainable Community in Batteries
10.1021/acsenergylett.0c01304 · 2020 · External reference
