Results 11 to 20 of about 639,841 (326)

State of charge estimation for electric vehicles using random forest

open access: yesGreen Energy and Intelligent Transportation
This paper introduces an innovative approach to addressing a critical challenge in the electric vehicle (EV) industry—the accurate estimation of the state of charge (SOC) of EV batteries under real-world operating conditions.
Mohd Herwan Sulaiman, Zuriani Mustaffa
doaj   +2 more sources

Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model. [PDF]

open access: yesSci Rep, 2021
Accurate state of charge (SOC) estimation of lithium-ion (Li-ion) batteries is crucial in prolonging cell lifespan and ensuring its safe operation for electric vehicle applications.
Hannan MA   +10 more
europepmc   +2 more sources

State of Charge Estimation of a Composite Lithium-Based Battery Model Based on an Improved Extended Kalman Filter Algorithm

open access: yesInventions, 2019
The battery State of Charge (SoC) estimation is one of the basic and significant functions for Battery Management System (BMS) in Electric Vehicles (EVs). The SoC is the key to interoperability of various modules and cannot be measured directly.
Ning Ding   +3 more
doaj   +1 more source

Optimal least square vector autoregressive moving average for battery state of charge estimation and forecasting

open access: yesICT Express, 2021
The error in state of charge estimation using the combined models is usually attributable to the statistical model. In this study, a least square algorithm is utilized to optimize and increase the state of charge estimation accuracy.
Angela Caliwag, Wansu Lim
doaj   +1 more source

Influence of State of Charge Estimation Uncertainty on Energy Management Strategies for Hybrid Electric Vehicles [PDF]

open access: yes, 2011
This paper studies how the optimal energy management of a hybrid electric vehicle and a plug-in hybrid electric vehicle is affected by uncertain estimates of the battery state of charge.
Egardt, Bo   +2 more
core   +1 more source

Improvement of The Battery State of Charge Estimation Using Recursive ‎ Least Square Based Adaptive Extended Kalman Filter ‎ [PDF]

open access: yesInternational Journal of Industrial Electronics, Control and Optimization
Battery Management System (BMS) including measurements errors that causes decrease in ‎the quality of ‎calculated State of the Charge (SOC). It will limit the accurate estimation of ‎the SOC that is a critical challenge in ‎some of the engineering fields
Ramezan Havangi, Fatemeh Karimi
doaj   +1 more source

SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation

open access: yesBatteries, 2023
Accurate State-of-Charge estimation is crucial for applications that utilise lithium-ion batteries. In real-time scenarios, battery models tend to present significant uncertainty, making it desirable to jointly estimate both the State of Charge and ...
Miquel Martí-Florences   +3 more
doaj   +1 more source

A New State of Charge Estimation Algorithm for Lithium-Ion Batteries Based on the Fractional Unscented Kalman Filter

open access: yesEnergies, 2017
An accurate state of charge (SOC) estimation is the basis of the Battery Management System (BMS). In this paper, a new estimation method which considers fractional calculus is proposed to estimate the lithium battery state of charge.
Yixing Chen   +5 more
doaj   +1 more source

Design of a Robust Unknown Input Observer for the State of Charge Estimation for Lithium-Ion Batteries [PDF]

open access: yesAdvances in Engineering and Intelligence Systems, 2023
The robustness of an observer against model uncertainties is a main challenge during the Lithiumion battery state of charge (SoC) estimation. Also, for large-scale applications such as electric vehicles, disturbances in measurement may increase the SoC ...
Omid Rezaei, Mohammadali Faghih
doaj   +1 more source

Observer techniques for estimating the state-of-charge and state-of-health of VRLABs for hybrid electric vehicles [PDF]

open access: yes, 2005
The paper describes the application of observer-based state-estimation techniques for the real-time prediction of state-of-charge (SoC) and state-of-health (SoH) of lead-acid cells.
Bentley, P   +3 more
core   +1 more source

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