Classification of duty pulses affecting energy storage systems in vehicular applications (original) (raw)

Real-world battery duty profile of a neighbourhood electric vehicle

A. Devie, Pascal Venet

Transportation Research Part C: Emerging Technologies, 2012

View PDFchevron_right

Battery aging detection based on sequential clustering and similarity analysis

Gancho Vachkov

2012

View PDFchevron_right

From driving cycle analysis to understanding battery performance in real-life electric hybrid vehicle operation

Matthieu Dubarry, Bor Yann Liaw

Journal of Power Sources, 2007

View PDFchevron_right

Electric Vehicle Battery Cycle Aging Evaluation in Real-World Daily Driving and Vehicle-to-Grid Services

Shuaidong Zhao

IEEE Transactions on Transportation Electrification, 2018

View PDFchevron_right

A roadmap to understand battery performance in electric and hybrid vehicle operation

Vojtech Svoboda, Ruey Hwu, Matthieu Dubarry, Bor Yann Liaw

Journal of Power Sources, 2007

View PDFchevron_right

Determination of the electric vehicles driving modes in real life conditions by classification methods

Ali Sari

2018 IEEE International Conference on Industrial Technology (ICIT), 2018

View PDFchevron_right

Large-Scale Battery System Development and User-Specific Driving Behavior Analysis for Emerging Electric-Drive Vehicles

yihe sun

Energies, 2011

View PDFchevron_right

A Review of the Impact of Battery Degradation on Energy Management Systems with a Special Emphasis on Electric Vehicles

MOKESIOLUWA FANORO

Energies

View PDFchevron_right

Simulation and Analysis of the Effect of Real-World Driving Styles in an EV Battery Performance and Aging

Mehdi Jafari

View PDFchevron_right

Lithium-Ion Battery Cell Cycling and Usage Analysis in a Heavy-Duty Truck Field Study

Pontus Svens, Gòˆran Lindbergh

Energies, 2015

View PDFchevron_right

A Fully Automated Methodology for the Selection and Extraction of Energy-Relevant Features for the Energy Consumption of Battery Electric Vehicles

Eric Sax

SN Computer Science

View PDFchevron_right

Article Lithium-Ion Battery Cell Cycling and Usage Analysis in a Heavy-Duty Truck Field Study

Pontus Svens

2015

View PDFchevron_right

AUTOMATIC BATTERY HEALTH MONITORING USING MACHINE LEARNING FOR E-VEHICLES

IRJET Journal

IRJET, 2023

View PDFchevron_right

Analyzing electric vehicle battery health performance using supervised machine learning

Roushan Kumar

View PDFchevron_right

Charging Behavior Portrait of Electric Vehicle Users Based on Fuzzy C-Means Clustering Algorithm

Aixin Yang

Energies, 2024

View PDFchevron_right

Monitoring and Prediction of Battery Life in Electric Vehicle: A Comparative Study

Nagaraj Karthick, Grenze International Journal of Engineering and Technology GIJET

View PDFchevron_right

Electric Vehicle Lithium-ion Battery Ageing Analysis under Dynamic Condition: A Machine Learning Approach

Radhika Swarnkar

SAIEE Africa Research Journal

View PDFchevron_right

Battery Management in Electrical Vehicles Using Machine Learning Techniques

yasmine begum

Journal of Pharmaceutical Negative Results

View PDFchevron_right

Electric Vehicles charging sessions classification technique for optimized battery charge based on machine learning

Silvana Matrone

IEEE Access

View PDFchevron_right

Investigation of path dependence in commercial lithium-ion cells chosen for plug-in hybrid vehicle duty cycle protocols

Chris C Mi

Journal of Power Sources, 2011

View PDFchevron_right

Driving cycle based battery rating selection and range analysis in EV applications

International Journal of Power Electronics and Drive Systems

International Journal of Power Electronics and Drive Systems (IJPEDS), 2021

View PDFchevron_right

A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study

shashank arora

Volume 8: Energy, 2020

View PDFchevron_right

Characterizing naturalistic driving patterns for Plug-in Hybrid Electric Vehicle analysis

Timothy Gordon

2009

View PDFchevron_right

Battery Degradation in Electric and Hybrid Electric Vehicles: A Survey Study

Laxman Timilsina

IEEE Access

View PDFchevron_right

Applications of Battery Management System (BMS) in Sustainable Transportation: A Comprehensive Approach from Battery Modeling to Battery Integration to the Power Grid

Santoshkumar Hampannavar

World Electric Vehicle Journal

View PDFchevron_right

The Rise of AI driven BMS Revolutionizing Li ion Battery Performance

Karthik Kumar S

IEEE, 2024

View PDFchevron_right

Lithium-ion battery cell degradation resulting from realistic vehicle and vehicle-to-grid utilization

Jay Whitacre

Journal of Power Sources, 2010

View PDFchevron_right

batteries in electric vehicles

Chin-Han Hsu

View PDFchevron_right

Identifying and Recognizing Usage Pattern of Electric Vehicles Using GPS and On-Board Diagnostics Data

Quan Yuan

View PDFchevron_right

Evaluating Real-Life Performance of Lithium-Ion Battery Packs in Electric Vehicles

Goeran Lindbergh

Journal of the Electrochemical Society, 2012

View PDFchevron_right

Battery life time prediction of electric vehicle using artificial intelligence

Manish Shrimali

International journal of health sciences

View PDFchevron_right