Research graph
References from Prediction of future capacity and internal resistance of Li-ion cells from one cycle of input data. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1016/j.egyai.2020.100006 · 2020 · Admitted local publication
Elbows of internal resistance rise curves in li-ion cells
10.3390/en14041206 · 2021 · External reference
Algorithm to determine the knee point on capacity fade curves of lithium-ion cells
10.3390/en12152910 · 2019 · External reference
The ability of battery second use strategies to impact plug-in electric vehicle prices and serve utility energy storage applications
2011 · External reference
Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries
10.1016/j.jpowsour.2013.09.143 · 2014 · External reference
Failure mode analysis of lithium ion batteries operated for low earth orbit CubeSat applications
10.1016/j.est.2020.101561 · 2020 · External reference
Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
10.1016/j.jpowsour.2014.02.064 · 2014 · External reference
A new hybrid method for the prediction of the remaining useful life of a lithium-ion battery
10.1016/j.apenergy.2017.09.106 · 2017 · External reference
Gaussian process regression for forecasting battery state of health
10.1016/j.jpowsour.2017.05.004 · 2017 · External reference
Data-driven prediction of battery cycle life before capacity degradation
10.1038/s41560-019-0356-8 · 2019 · External reference
Hybrid deep neural network model for remaining useful life estimation
2019 · External reference
Remaining useful life prediction for lithium-ion battery: A deep learning approach
10.1109/access.2018.2858856 · 2018 · External reference
Battery health prediction under generalized conditions using a Gaussian process transition model
10.1016/j.est.2019.03.022 · 2019 · External reference
10.1016/j.egyai.2020.100016 · 2020 · Admitted local publication
A critical review of machine learning of energy materials
10.1002/aenm.201903242 · 2020 · External reference
Predicting the state of charge and health of batteries using data-driven machine learning
2020 · External reference
Model migration neural network for predicting battery aging trajectories
10.1109/tte.2020.2979547 · 2020 · External reference
Systematic derivation and validation of a reduced thermal-electrochemical model for lithium-ion batteries using asymptotic methods
10.1016/j.electacta.2021.138524 · 2021 · External reference
Development of experimental techniques for parameterization of multi-scale lithium-ion battery models
10.1149/1945-7111/ab9050 · 2020 · External reference
Parameterisation of a physico-chemical model of a lithium-ion battery part i: Determination of parameters
10.1149/2.0551509jes · 2015 · External reference
Parameterization of a physico-chemical model of a lithium-ion battery: II. Model validation
10.1149/2.0541509jes · 2015 · External reference
Optimal experimental design for parameterization of an electrochemical lithium-ion battery model
10.1149/2.0421807jes · 2018 · External reference
Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning
10.1016/j.apenergy.2020.115646 · 2020 · External reference
Closed-loop optimization of fast-charging protocols for batteries with machine learning
10.1038/s41586-020-1994-5 · 2020 · External reference
10.1016/j.egyai.2021.100081 · 2021 · Admitted local publication
Keras: The python deep learning library
2018 · External reference
Unresolved reference
2001 · External reference
Unresolved reference
External reference
The capacity estimation and cycle life prediction of lithium-ion batteries using a new broad extreme learning machine approach
10.1016/j.jpowsour.2020.228581 · 2020 · External reference
A hybrid machine learning model for battery cycle life prediction with early cycle data
2020 · External reference
Lifespan prediction of lithium-ion batteries based on various extracted features and gradient boosting regression tree model
10.1016/j.jpowsour.2020.228654 · 2020 · External reference
BEEP: A python library for battery evaluation and early prediction
10.1016/j.softx.2020.100506 · 2020 · External reference
