On the public citation graph
Durability and Reliability of EV Batteries under Electric Utility Grid Operations: Path Dependence of Battery Degradation
0 signed · 157 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/er.1668openalex-snapshot
Origins and accommodation of cell variations in Li-ion battery pack modeling
inferredcites →https://doi.org/10.1016/j.apenergy.2013.04.094openalex-snapshot
Evaluating the impact of V2G services on the degradation of batteries in PHEV and EV
inferredcites →https://doi.org/10.1016/j.apenergy.2013.08.062openalex-snapshot
A practical battery wear model for electric vehicle charging applications
inferredcites →https://doi.org/10.1016/j.apenergy.2014.06.063openalex-snapshot
Influence of the vehicle-to-grid strategy on the aging behavior of lithium battery electric vehicles
inferredcites →https://doi.org/10.1016/j.energy.2013.07.030openalex-snapshot
The reserve trading model considering V2G Reverse
inferredcites →https://doi.org/10.1016/j.energy.2013.07.068openalex-snapshot
Capacity fade and aging models for electric batteries and optimal charging strategy for electric vehicles
inferredcites →https://doi.org/10.1016/j.energy.2013.11.045openalex-snapshot
Optimal scheduling of electric vehicles in an intelligent parking lot considering vehicle-to-grid concept and battery condition
inferredcites →https://doi.org/10.1016/j.energy.2015.10.019openalex-snapshot
A hybrid life cycle assessment of the vehicle-to-grid application in light duty commercial fleet
inferredcites →https://doi.org/10.1016/j.energy.2015.12.018openalex-snapshot
Development of an agent-based model for regional market penetration projections of electric vehicles in the United States
inferredcites →https://doi.org/10.1016/j.energy.2017.04.116openalex-snapshot
On the possibility of extending the lifetime of lithium-ion batteries through optimal V2G facilitated by an integrated vehicle and smart-grid system
inferredcites →https://doi.org/10.1016/j.jpowsour.2004.07.021openalex-snapshot
Differential voltage analyses of high-power, lithium-ion cells
inferredcites →https://doi.org/10.1016/j.jpowsour.2004.07.022openalex-snapshot
Differential voltage analyses of high-power lithium-ion cells
inferredcites →https://doi.org/10.1016/j.jpowsour.2005.07.054openalex-snapshot
Differential voltage analyses of high-power lithium-ion cells
inferredcites →https://doi.org/10.1016/j.jpowsour.2009.10.010openalex-snapshot
Lithium-ion battery cell degradation resulting from realistic vehicle and vehicle-to-grid utilization
inferredcites →https://doi.org/10.1016/j.jpowsour.2010.05.058openalex-snapshot
Investigation of path dependence in commercial lithium-ion cells chosen for plug-in hybrid vehicle duty cycle protocols
inferredcites →https://doi.org/10.1016/j.jpowsour.2010.09.103openalex-snapshot
Investigation of aging mechanisms of high power Li-ion cells used for hybrid electric vehicles
inferredcites →https://doi.org/10.1016/j.jpowsour.2010.11.010openalex-snapshot
Using vehicle-to-grid technology for frequency regulation and peak-load reduction
inferredcites →https://doi.org/10.1016/j.jpowsour.2011.02.025openalex-snapshot
Investigation of battery end-of-life conditions for plug-in hybrid electric vehicles
inferredcites →https://doi.org/10.1016/j.jpowsour.2011.08.020openalex-snapshot
Capacity-fading prediction of lithium-ion batteries based on discharge curves analysis
inferredcites →https://doi.org/10.1016/j.jpowsour.2012.07.016openalex-snapshot
Synthesize battery degradation modes via a diagnostic and prognostic model
inferredcites →https://doi.org/10.1016/j.jpowsour.2012.11.101openalex-snapshot
Analysis and prediction of the open circuit potential of lithium-ion cells
inferredcites →https://doi.org/10.1016/j.jpowsour.2013.01.147openalex-snapshot
Postmortem analysis of calendar-aged graphite/LiFePO4 cells
inferredcites →https://doi.org/10.1016/j.jpowsour.2013.02.041openalex-snapshot
Model-based investigation of electric vehicle battery aging by means of vehicle-to-grid scenario simulations
inferredcites →https://doi.org/10.1016/j.jpowsour.2013.08.079openalex-snapshot
Capacity fade of LiNi (1−x−y) Co x Al y O 2 cathode for lithium-ion batteries during accelerated calendar and cycle life test. I. Comparison analysis between LiNi (1−x−y) Co x Al y O 2 and LiCoO 2 cathodes in cylindrical lithium-ion cells during long term storage test
inferredcites →https://doi.org/10.1016/j.jpowsour.2013.09.009openalex-snapshot
Evaluation of plug-in electric vehicles impact on cost-based unit commitment
inferredcites →https://doi.org/10.1016/j.jpowsour.2014.01.019openalex-snapshot
Load shift potential of electric vehicles in Europe
inferredcites →https://doi.org/10.1016/j.jpowsour.2014.04.078openalex-snapshot
Coordinating plug-in electric vehicle charging with electric grid: Valley filling and target load following
inferredcites →https://doi.org/10.1016/j.jpowsour.2014.12.020openalex-snapshot
Impact analysis of vehicle-to-grid technology and charging strategies of electric vehicles on distribution networks – A review
inferredcites →https://doi.org/10.1016/j.jpowsour.2015.11.096openalex-snapshot
Correlation between capacity and impedance of lithium-ion cells during calendar and cycle life
inferredcites →https://doi.org/10.1016/j.jpowsour.2016.04.109openalex-snapshot
Online state of health estimation on NMC cells based on predictive analytics
inferredcites →https://doi.org/10.1016/j.jpowsour.2016.12.011openalex-snapshot
Degradation diagnostics for lithium ion cells
inferredcites →https://doi.org/10.1016/j.jpowsour.2017.04.072openalex-snapshot
Operando lithium plating quantification and early detection of a commercial LiFePO4 cell cycled under dynamic driving schedule
inferredcites →https://doi.org/10.1016/j.jpowsour.2017.05.015openalex-snapshot
Durability and reliability of electric vehicle batteries under electric utility grid operations: Bidirectional charging impact analysis
inferredcites →https://doi.org/10.1016/j.jpowsour.2017.05.110openalex-snapshot
Modeling of lithium plating induced aging of lithium-ion batteries: Transition from linear to nonlinear aging
inferredcites →https://doi.org/10.1016/j.jpowsour.2017.05.121openalex-snapshot
State of health battery estimator enabling degradation diagnosis: Model and algorithm description
inferredcites →https://doi.org/10.1016/j.rser.2014.03.031openalex-snapshot
Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration
inferredcites →https://doi.org/10.1016/j.rser.2017.03.138openalex-snapshot
A review of Battery Electric Vehicle technology and readiness levels
inferredcites →https://doi.org/10.1038/nclimate2564openalex-snapshot
Rapidly falling costs of battery packs for electric vehicles
inferredcites →https://doi.org/10.1109/tec.2011.2159977openalex-snapshot
Modeling of the Cost of EV Battery Wear Due to V2G Application in Power Systems
inferredcites →https://doi.org/10.1149/1.2221767openalex-snapshot
Incremental Capacity Analysis and Close-to-Equilibrium OCV Measurements to Quantify Capacity Fade in Commercial Rechargeable Lithium Batteries
inferredcites →https://doi.org/10.1149/2.0091701jesopenalex-snapshot
Calendar Aging of NCA Lithium-Ion Batteries Investigated by Differential Voltage Analysis and Coulomb Tracking
inferredcites →https://doi.org/10.1149/2.0171714jesopenalex-snapshot
Aging of Tesla's 18650 Lithium-Ion Cells: Correlating Solid-Electrolyte-Interphase Evolution with Fading in Capacity and Power
inferredcites →https://doi.org/10.1149/2.0411609jesopenalex-snapshot
Calendar Aging of Lithium-Ion Batteries
inferredcites →https://doi.org/10.1149/2.056406jesopenalex-snapshot
Degradation Mechanism of LiNi0.82Co0.15Al0.03O2Positive Electrodes of a Lithium-Ion Battery by a Long-Term Cycling Test
inferredcites →https://doi.org/10.1149/2.0681613jesopenalex-snapshot
Understanding Li-Ion Battery Anode Degradation and Pore Morphological Changes through Nano-Resolution X-ray Computed Tomography
inferredcites →https://doi.org/10.1149/2.f04151ifopenalex-snapshot
The Role of V2G in the Smart Grid of the Future
inferredcites →https://doi.org/10.3390/batteries2030028openalex-snapshot
Durability and Reliability of Electric Vehicle Batteries under Electric Utility Grid Operations. Part 1: Cell-to-Cell Variations and Preliminary Testing
inferredcites →https://doi.org/10.3390/en8053720openalex-snapshot
Utilization of Electric Vehicles and Their Used Batteries for Peak-Load Shifting
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.5085749openalex-extracted
Data-Driven Quantification of Battery Degradation Modes Via Critical Features from Charging
inferred← citeshttps://doi.org/10.1002/batt.202000160openalex-snapshot
Investigation of Path‐Dependent Degradation in Lithium‐Ion Batteries**
inferred← citeshttps://doi.org/10.1002/batt.202400355openalex-snapshot
The Significance of Enhancing the Reliability of Lithium‐Ion Batteries in Reducing Electric Vehicle Field Safety Accidents
inferred← citeshttps://doi.org/10.1002/ente.202200627openalex-snapshot
A Review and Perspective on Path Dependency in Batteries
inferred← citeshttps://doi.org/10.1002/ente.202502074openalex-snapshot
External Short Circuit of Lithium‐Ion Battery After Low Temperature Aging
inferred← citeshttps://doi.org/10.1007/s00502-025-01383-5openalex-snapshot
A structured expert-based prioritization of barriers and measures to successful vehicle-to-grid deployment
inferred← citeshttps://doi.org/10.1016/j.adapen.2025.100259openalex-snapshot
Residential vehicle-to-grid profits under dynamic pricing: The role of real-world charging behavior
inferred← citeshttps://doi.org/10.1016/j.apenergy.2020.116344openalex-snapshot
Comparison of the impact of fast charging on the cycle life of three lithium-ion cells under several parameters of charge protocol and temperatures
inferred← citeshttps://doi.org/10.1016/j.apenergy.2022.120204openalex-snapshot
Two-stage deep learning for online prediction of knee-point in Li-ion battery capacity degradation
inferred← citeshttps://doi.org/10.1016/j.apenergy.2022.120308openalex-snapshot
Battery capacity estimation using 10-second relaxation voltage and a convolutional neural network
inferred← citeshttps://doi.org/10.1016/j.apenergy.2025.126094openalex-snapshot
Aging-induced, rate-independent Lithium plating: A complete mechanism analysis throughout the battery lifecycle
inferred← citeshttps://doi.org/10.1016/j.apenergy.2026.128623openalex-snapshot
Evaluating isothermal degradation error in lithium-ion batteries under WLTP drive cycles
inferred← citeshttps://doi.org/10.1016/j.coelec.2018.05.023openalex-snapshot
Calendar aging of commercial Li-ion cells of different chemistries – A review
inferred← citeshttps://doi.org/10.1016/j.egyai.2020.100006openalex-snapshot
Identification and machine learning prediction of knee-point and knee-onset in capacity degradation curves of lithium-ion cells
inferred← citeshttps://doi.org/10.1016/j.egyai.2022.100158openalex-snapshot
Generalised diagnostic framework for rapid battery degradation quantification with deep learning
inferred← citeshttps://doi.org/10.1016/j.egyr.2026.109034openalex-snapshot
Optimized fuzzy-MPPT approach for superior solar power management in EV battery charging systems
inferred← citeshttps://doi.org/10.1016/j.enpol.2017.11.015openalex-snapshot
The viability of vehicle-to-grid operations from a battery technology and policy perspective
inferred← citeshttps://doi.org/10.1016/j.est.2018.04.004openalex-snapshot
Battery durability and reliability under electric utility grid operations: Representative usage aging and calendar aging
inferred← citeshttps://doi.org/10.1016/j.est.2018.11.012openalex-snapshot
Battery energy storage system modeling: A combined comprehensive approach
inferred← citeshttps://doi.org/10.1016/j.est.2019.02.016openalex-snapshot
Battery energy storage system modeling: Investigation of intrinsic cell-to-cell variations
inferred← citeshttps://doi.org/10.1016/j.est.2020.101329openalex-snapshot
Rate dependency of incremental capacity analysis (dQ/dV) as a diagnostic tool for lithium-ion batteries
inferred← citeshttps://doi.org/10.1016/j.est.2020.101391openalex-snapshot
Battery durability and reliability under electric utility grid operations: 20-year forecast under different grid applications
inferred← citeshttps://doi.org/10.1016/j.est.2020.101409openalex-snapshot
Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data – Part A: Storage operation
inferred← citeshttps://doi.org/10.1016/j.est.2020.101873openalex-snapshot
Degradation of electric vehicle lithium-ion batteries in electricity grid services
inferred← citeshttps://doi.org/10.1016/j.est.2021.103072openalex-snapshot
A health indicator extraction and optimization for capacity estimation of Li-ion battery using incremental capacity curves
inferred← citeshttps://doi.org/10.1016/j.est.2022.105558openalex-snapshot
Li-ion battery degradation modes diagnosis via Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1016/j.est.2023.108413openalex-snapshot
Data-driven battery state-of-health estimation and prediction using IC based features and coupled model
inferred← citeshttps://doi.org/10.1016/j.est.2023.109304openalex-snapshot
A comprehensive overview of vehicle to everything (V2X) technology for sustainable EV adoption
inferred← citeshttps://doi.org/10.1016/j.est.2024.114242openalex-snapshot
Extra throughput versus days lost in V2G services: Influence of dominant degradation mechanism
inferred← citeshttps://doi.org/10.1016/j.est.2025.115357openalex-snapshot
Understanding lithium-ion battery degradation in vehicle applications: Insights from realistic and accelerated aging tests using Volkswagen ID.3 pouch cells
inferred← citeshttps://doi.org/10.1016/j.est.2025.115668openalex-snapshot
Parametric investigation of partial incremental capacity analysis for Lithium-ion cells
inferred← citeshttps://doi.org/10.1016/j.est.2026.120582openalex-snapshot
Lithium-ion battery capacity estimation using 5-second relaxation voltage and a multi-scale residual dual-channel network
inferred← citeshttps://doi.org/10.1016/j.etran.2021.100124openalex-snapshot
The impact of V2X service under local climatic conditions within Canada on EV durability
inferred← citeshttps://doi.org/10.1016/j.etran.2021.100137openalex-snapshot
Cycle life prediction of lithium-ion batteries based on data-driven methods
inferred← citeshttps://doi.org/10.1016/j.etran.2024.100333openalex-snapshot
Lithium-ion battery sudden death: Safety degradation and failure mechanism
inferred← citeshttps://doi.org/10.1016/j.jclepro.2021.128015openalex-snapshot
Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications
inferred← citeshttps://doi.org/10.1016/j.jclepro.2023.138678openalex-snapshot
Aging behavior and mechanisms of lithium-ion battery under multi-aging path
inferred← citeshttps://doi.org/10.1016/j.jechem.2021.11.009openalex-snapshot
Rapid determination of lithium-ion battery degradation: High C-rate LAM and calculated limiting LLI
inferred← citeshttps://doi.org/10.1016/j.jelechem.2023.117627openalex-snapshot
Incremental capacity analysis (dQ/dV) as a tool for analysing the effect of ambient temperature and mechanical clamping on degradation
inferred← citeshttps://doi.org/10.1016/j.jenvman.2023.117814openalex-snapshot
Are electric vehicle batteries being underused? A review of current practices and sources of circularity
inferred← citeshttps://doi.org/10.1016/j.joule.2021.06.005openalex-snapshot
The challenge and opportunity of battery lifetime prediction from field data
inferred← citeshttps://doi.org/10.1016/j.joule.2025.102010openalex-snapshot
Diagnostic-free onboard battery health assessment
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2018.05.073openalex-snapshot
A look into the voltage plateau signal for detection and quantification of lithium plating in lithium-ion cells
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2019.227117openalex-snapshot
Kinetics accommodation in Li-ion mechanistic modeling
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2020.227882openalex-snapshot
Mechanistic investigation of silicon-graphite/LiNi0.8Mn0.1Co0.1O2 commercial cells for non-intrusive diagnosis and prognosis
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2020.228806openalex-snapshot
Benchmark Synthetic Training Data for Artificial Intelligence-based Li-ion Diagnosis and Prognosis
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2022.231399openalex-snapshot
Non-destructive observation of plated lithium distribution in a large-scale automobile Li-ion battery using synchrotron X-ray diffraction
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2022.231949openalex-snapshot
Comparison of Li-ion battery chemistries under grid duty cycles
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2022.232555openalex-snapshot
Nondestructive diagnostics and quantification of battery aging under different degradation paths
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2023.233118openalex-snapshot
Localized lithium plating under mild cycling conditions in high-energy lithium-ion batteries
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2023.233948openalex-snapshot
Temperature-driven path dependence in Li-ion battery cyclic aging
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2024.235732openalex-snapshot
Assessing degradation modes in cylindrical lithium-ion batteries: A non-invasive method using the entropic heat flow or surface temperature
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2025.238147openalex-snapshot
Influence of periodic temperature variations on calendar ageing of lithium-ion batteries
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2025.238754openalex-snapshot
A semi-empirical aging model considering the coupling effects of cycling and calendar aging
inferred← citeshttps://doi.org/10.1016/j.pecs.2021.100953openalex-snapshot
Lithium Plating Mechanism, Detection, and Mitigation in Lithium-Ion Batteries
inferred← citeshttps://doi.org/10.1016/j.powera.2025.100175openalex-snapshot
Li-ion battery voltage curve reconstruction using partial charge profiles: Actual v/s truncated data
inferred← citeshttps://doi.org/10.1016/j.rser.2022.112574openalex-snapshot
State-of-the-art vehicle-to-everything mode of operation of electric vehicles and its future perspectives
inferred← citeshttps://doi.org/10.1016/j.tra.2026.105026openalex-snapshot
Understanding decision-making dynamics for vehicle-to-grid adoption in China: a hybrid choice model approach
inferred← citeshttps://doi.org/10.1021/accountsmr.2c00082openalex-snapshot
Perspective on Mechanistic Modeling of Li-Ion Batteries
inferred← citeshttps://doi.org/10.1021/acsenergylett.1c00743openalex-snapshot
ENPOLITE: Comparing Lithium-Ion Cells across Energy, Power, Lifetime, and Temperature
inferred← citeshttps://doi.org/10.1021/acsomega.1c05494openalex-snapshot
3ε–A Versatile Operando Analytics Toolbox in Energy Storage
inferred← citeshttps://doi.org/10.1038/s41560-024-01675-8openalex-snapshot
Dynamic cycling enhances battery lifetime
inferred← citeshttps://doi.org/10.1039/d3mh01761copenalex-snapshot
Diagnosis of high-Ni NCA/Gr-Si cells before rapid capacity drop by monitoring the heterogeneous degradation
inferred← citeshttps://doi.org/10.1039/d4ee04787gopenalex-snapshot
Degradation path prediction of lithium-ion batteries under dynamic operating sequences
inferred← citeshttps://doi.org/10.1049/itr2.12267openalex-snapshot
STLRF‐Stack: A fault prediction model for pure electric vehicles based on a high dimensional imbalanced dataset
inferred← citeshttps://doi.org/10.1109/access.2020.3048146openalex-snapshot
Improved Modeling of Lithium-Ion Battery Capacity Degradation Using an Individual-State Training Method and Recurrent Softplus Neural Network
inferred← citeshttps://doi.org/10.1109/access.2023.3271287openalex-snapshot
Battery Degradation in Electric and Hybrid Electric Vehicles: A Survey Study
inferred← citeshttps://doi.org/10.1109/cieec58067.2023.10167009openalex-snapshot
Rapid quantization of battery degradation mode based on multi-head attention model of Variational autoencoder
inferred← citeshttps://doi.org/10.1109/eeeic/icpseurope49358.2020.9160601openalex-snapshot
On the technical reliability of Lithium-ion batteries in a zero emission polar expedition
inferred← citeshttps://doi.org/10.1109/esars-itec57127.2023.10114851openalex-snapshot
Enhanced online identification of battery models exploiting data richness
inferred← citeshttps://doi.org/10.1109/icpcsn58827.2023.00072openalex-snapshot
Battery Health Prediction Using Deep Hybrid Learning
inferred← citeshttps://doi.org/10.1109/jproc.2020.3038585openalex-snapshot
Electric Vehicles for Smart Buildings: A Survey on Applications, Energy Management Methods, and Battery Degradation
inferred← citeshttps://doi.org/10.1109/tvt.2025.3529734openalex-snapshot
Data-Driven Battery Health Prognostics Using Time-Frequency Feature Maps and Spatial-Temporal Neural Network
inferred← citeshttps://doi.org/10.1115/1.4045008openalex-snapshot
Perspective on State-of-Health Determination in Lithium-Ion Batteries
inferred← citeshttps://doi.org/10.1149/1945-7111/ab67c7openalex-snapshot
An Exact Closed-Form Impedance Model for Porous-Electrode Lithium-Ion Cells
inferred← citeshttps://doi.org/10.1149/1945-7111/abd3b8openalex-snapshot
Review—Lithium Plating Detection Methods in Li-Ion Batteries
inferred← citeshttps://doi.org/10.1149/1945-7111/ac65b7openalex-snapshot
Concealed Cathode Degradation in Lithium-Ion Cells with a Ni-Rich Oxide
inferred← citeshttps://doi.org/10.1149/1945-7111/ac6d13openalex-snapshot
Review—“Knees” in Lithium-Ion Battery Aging Trajectories
inferred← citeshttps://doi.org/10.1149/1945-7111/ac9f7eopenalex-snapshot
Coulombic Efficiency and Capacity Retention are Not Universal Descriptors of Cell Aging
inferred← citeshttps://doi.org/10.1149/1945-7111/ace21copenalex-snapshot
Accurate LLI and LAMPE Estimation Using the Mechanistic Modeling Approach with Layered Oxides
inferred← citeshttps://doi.org/10.1149/1945-7111/ad2952openalex-snapshot
Investigating the Path Dependent Aging Behavior of Nickel Cobalt Aluminum Oxide Cathode Batteries During High C-rate Cycling Conditions
inferred← citeshttps://doi.org/10.1149/1945-7111/ad6483openalex-snapshot
Modeling Rate Dependent Volume Change in Porous Electrodes in Lithium-Ion Batteries
inferred← citeshttps://doi.org/10.1149/1945-7111/ad749eopenalex-snapshot
Utilization of DEM Simulations to Quantify Cell Level Thickness and Volume Changes in Large Format Pouch Cells
inferred← citeshttps://doi.org/10.1149/1945-7111/add388openalex-snapshot
Effect of Fast-Charging and Cycling Window on Lithium-Ion Battery Performance and Aging
inferred← citeshttps://doi.org/10.1149/1945-7111/adf9cbopenalex-snapshot
Physics-Informed Aging-Sensitive Equivalent Circuit Model for Predicting the Knee in Lithium-Ion Batteries
inferred← citeshttps://doi.org/10.1149/1945-7111/adfca1openalex-snapshot
Assessment of the Impact of Silicon on Loss of Active Material Quantification in Blended Silicon/Graphite Negative Electrodes
inferred← citeshttps://doi.org/10.1149/2.1001908jesopenalex-snapshot
The Mechanism and Characterization of Accelerated Capacity Deterioration for Lithium-Ion Battery with Li(NiMnCo) O 2 Cathode
inferred← citeshttps://doi.org/10.15407/scine21.06.019openalex-snapshot
Second-Life Electric Vehicle Batteries in Ukraine’s Energy Sector: SWOT Analysis and Market Evaluation
inferred← citeshttps://doi.org/10.2139/ssrn.5178604openalex-snapshot
Aging-Induced, Rate-Independent Lithium Plating: A Comprehensive Mechanism Analysis Across Battery Lifecycle
inferred← citeshttps://doi.org/10.2139/ssrn.6412553openalex-snapshot
SAGE: Synthetic Aging for a Grid Environment
inferred← citeshttps://doi.org/10.31224/osf.io/8yq7nopenalex-snapshot
ENPOLITE: Comparing Lithium-Ion Cells across Energy, Power, Lifetime, and Temperature
inferred← citeshttps://doi.org/10.3389/fenrg.2022.1023555openalex-snapshot
Best practices for incremental capacity analysis
inferred← citeshttps://doi.org/10.3390/batteries11060219openalex-snapshot
Multi-Level Thermal Modeling and Management of Battery Energy Storage Systems
inferred← citeshttps://doi.org/10.3390/batteries11070239openalex-snapshot
Impact of Temperature and Depth of Discharge on Commercial Nickel Manganese Oxide and Lithium Iron Phosphate Batteries After Three Years of Aging
inferred← citeshttps://doi.org/10.3390/batteries5020042openalex-snapshot
Synthetic vs. Real Driving Cycles: A Comparison of Electric Vehicle Battery Degradation
inferred← citeshttps://doi.org/10.3390/batteries7010002openalex-snapshot
Incremental Capacity Analysis as a State of Health Estimation Method for Lithium-Ion Battery Modules with Series-Connected Cells
inferred← citeshttps://doi.org/10.3390/batteries7020036openalex-snapshot
Determination of the Distribution of Relaxation Times by Means of Pulse Evaluation for Offline and Online Diagnosis of Lithium-Ion Batteries
inferred← citeshttps://doi.org/10.3390/batteries9120568openalex-snapshot
The Influence of Testing Conditions on State of Health Estimations of Electric Vehicle Lithium-Ion Batteries Using an Incremental Capacity Analysis
inferred← citeshttps://doi.org/10.3390/electronics8101118openalex-snapshot
Incremental Capacity Curve Peak Points-Based Regression Analysis for the State-of-Health Prediction of a Retired LiNiCoAlO2 Series/Parallel Configured Battery Pack
inferred← citeshttps://doi.org/10.3390/electronics9010152openalex-snapshot
Perspective on Commercial Li-ion Battery Testing, Best Practices for Simple and Effective Protocols
inferred← citeshttps://doi.org/10.3390/en11040834openalex-snapshot
Lithium-Ion Cell Fault Detection by Single-Point Impedance Diagnostic and Degradation Mechanism Validation for Series-Wired Batteries Cycled at 0 °C
inferred← citeshttps://doi.org/10.3390/en11051031openalex-snapshot
Intrinsic Variability in the Degradation of a Batch of Commercial 18650 Lithium-Ion Cells
inferred← citeshttps://doi.org/10.3390/en13102494openalex-snapshot
Durability and Reliability of EV Batteries under Electric Utility Grid Operations: Impact of Frequency Regulation Usage on Cell Degradation
inferred← citeshttps://doi.org/10.3390/en14041206openalex-snapshot
Elbows of Internal Resistance Rise Curves in Li-Ion Cells
inferred← citeshttps://doi.org/10.3390/en14092371openalex-snapshot
Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis
inferred← citeshttps://doi.org/10.3390/vehicles4040056openalex-snapshot
Impact of Transportation Electrification on the Electricity Grid—A Review
inferred← citeshttps://doi.org/10.3390/wevj16100584openalex-snapshot
Trigger-Based PDCA Framework for Sustainable Grid Integration of Second-Life EV Batteries
inferred← citeshttps://doi.org/10.4271/2023-01-7033openalex-snapshot
Knee-Point Identification of Battery Degradation Trajectory Based on Constant Voltage Charging Capacity Variation
inferred← citeshttps://doi.org/10.54337/aau510574496openalex-snapshot
Electric Vehicle Batteries State Estimation Under a Wide Range of Test and Aging Conditions
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.