A voltage reconstruction model based on partial charging curve for state-of-health estimation of lithium-ion batteries

Comparative study of curve determination methods for incremental capacity analysis and state of health estimation of lithium-ion battery

(2020) Jiangtao He et al.   Journal of Energy Storage

Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation

(2020) Weihan Li et al.   Journal of Energy Storage

Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology

(2019) Shuangqi Li et al.   APPLIED ENERGY

Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles

(2019) Xiaoyu Li et al.   ENERGY

Lithium-Ion Battery Degradation Indicators Via Incremental Capacity Analysis

(2019) David Ansean et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

A model for state-of-health estimation of lithium ion batteries based on charging profiles

(2019) Xiaolei Bian et al.   ENERGY

In situ monitoring of lithium-ion battery degradation using an electrochemical model

(2019) Chao Lyu et al.   APPLIED ENERGY

A novel capacity estimation method based on charging curve sections for lithium-ion batteries in electric vehicles

(2019) Yuejiu Zheng et al.   ENERGY

Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis

(2019) Piyush Tagade et al.   JOURNAL OF POWER SOURCES

Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis

(2018) Jufeng Yang et al.   APPLIED ENERGY

A comparative study of model-based capacity estimation algorithms in dual estimation frameworks for lithium-ion batteries under an accelerated aging test

(2018) Shi Li et al.   APPLIED ENERGY

Gaussian Process Regression for In-situ Capacity Estimation of Lithium-ion Batteries

(2018) Robert R. Richardson et al.   IEEE Transactions on Industrial Informatics

A mechanism identification model based state-of-health diagnosis of lithium-ion batteries for energy storage applications

(2018) Zeyu Ma et al.   JOURNAL OF CLEANER PRODUCTION

A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve

(2018) Duo Yang et al.   JOURNAL OF POWER SOURCES

A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations

(2018) M.S. Hossain Lipu et al.   JOURNAL OF CLEANER PRODUCTION

Aging mechanisms under different state-of-charge ranges and the multi-indicators system of state-of-health for lithium-ion battery with Li(NiMnCo)O2 cathode

(2018) Yang Gao et al.   JOURNAL OF POWER SOURCES

Development of a Physics-Based Monitoring Algorithm Detecting CO2 Ingress Accidents in a Sodium-Cooled Fast Reactor

(2018) Hyeonmin Kim et al.   Energies

Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes

(2017) Taedong Goh et al.   ENERGY

Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs

(2017) Xiaosong Hu et al.   IEEE Power & Energy Magazine

On state-of-charge determination for lithium-ion batteries

(2017) Zhe Li et al.   JOURNAL OF POWER SOURCES

State of health battery estimator enabling degradation diagnosis: Model and algorithm description

(2017) Matthieu Dubarry et al.   JOURNAL OF POWER SOURCES

A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems

(2017) Carlos Pastor-Fernández et al.   JOURNAL OF POWER SOURCES

Degradation diagnostics for lithium ion cells

(2017) Christoph R. Birkl et al.   JOURNAL OF POWER SOURCES

State-of-health estimation for the lithium-ion battery based on support vector regression

(2017) Duo Yang et al.   APPLIED ENERGY

A capacity model based on charging process for state of health estimation of lithium ion batteries

(2016) Xue Li et al.   APPLIED ENERGY

On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis

(2016) Limei Wang et al.   APPLIED ENERGY

Impedance Characteristics and Diagnoses of Automotive Lithium-Ion Batteries at 7.5% to 93.0% State of Charge

(2016) Qiu-An Huang et al.   ELECTROCHIMICA ACTA

Online state of health estimation on NMC cells based on predictive analytics

(2016) Maitane Berecibar et al.   JOURNAL OF POWER SOURCES

On-board capacity estimation of lithium iron phosphate batteries by means of half-cell curves

(2016) Andrea Marongiu et al.   JOURNAL OF POWER SOURCES

A novel state of health estimation method of Li-ion battery using group method of data handling

(2016) Ji Wu et al.   JOURNAL OF POWER SOURCES

State-of-health estimation of LiFePO 4 /graphite batteries based on a model using differential capacity

(2016) Soichiro Torai et al.   JOURNAL OF POWER SOURCES

Inline state of health estimation of lithium-ion batteries using state of charge calculation

(2015) Saeed Sepasi et al.   JOURNAL OF POWER SOURCES

Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles

(2015) Alexander Farmann et al.   JOURNAL OF POWER SOURCES

Potential of lithium-ion batteries in renewable energy

(2015) Boucar Diouf et al.   RENEWABLE ENERGY

A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation

(2014) Verena Klass et al.   JOURNAL OF POWER SOURCES

State of health estimation for lithium ion batteries based on charging curves

(2013) Zhen Guo et al.   JOURNAL OF POWER SOURCES

A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification

(2013) Xuebing Han et al.   JOURNAL OF POWER SOURCES

Synthesize battery degradation modes via a diagnostic and prognostic model

(2012) Matthieu Dubarry et al.   JOURNAL OF POWER SOURCES