Results 1 to 10 of about 628,964 (202)

Real-time state of charge estimation of electrochemical model for lithium-ion battery [PDF]

open access: yes, 2020
This paper proposes the real-time Kalman filter based observer for Lithium-ion concentration estimation for the electrochemical battery model. Since the computation limitation of real-time battery management system (BMS) micro-processor, the battery ...
Fan, Chuanxin   +2 more
core   +1 more source

A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries

open access: yesEnergies, 2021
In this paper, we consider the problem of state-of-charge estimation for rechargeable batteries. Coulomb counting is a well-known method for estimating the state of charge, and it is regarded as accurate as long as the battery capacity and the beginning ...
Kiarash Movassagh   +3 more
doaj   +1 more source

A Novel Evaluation Criterion for the Rapid Estimation of the Overcharge and Deep Discharge of Lithium-Ion Batteries Using Differential Capacity

open access: yesBatteries, 2022
Differential capacity dQ/dU (capacitance) can be used for the instant diagnosis of battery performance in common constant current applications. A novel criterion allows state-of-charge (SOC) and state-of-health (SOH) monitoring of lithium-ion batteries ...
Peter Kurzweil   +2 more
doaj   +1 more source

Real-Time State of Charge Estimation of Light Electric Vehicles Based on Active Power Consumption

open access: yesIEEE Access, 2023
Battery state of charge estimation is not new, and the literature is rich in examples. Still, in most cases, state of charge algorithms are embedded in battery chargers and do not present the charging stage with a standard communication form, thus ...
Marco Pasetti   +2 more
doaj   +1 more source

ELM- and MCSCKF-based state of charge estimation for lithium-ion batteries

open access: yes工程科学学报, 2023
Lithium-ion batteries are widely used in electric vehicles and energy storage systems. As a prerequisite for the safe and efficient application of lithium-ion batteries, battery management systems have received extensive attention worldwide.
Qiao WANG   +4 more
doaj   +1 more source

A Novel Method for State of Charge Estimation in Lithium-Ion Batteries Using Temporal Convolutional Network and Multi-Verse Optimization

open access: yesBatteries, 2023
This study presents a novel data-driven method for state-of-charge estimation in lithium-ion batteries. It integrates a temporal convolutional network with multi-verse optimization to enhance the accuracy of predicting the state of charge.
Yuanmao Li, Guixiong Liu, Wei Deng
doaj   +1 more source

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

Lithium-Ion Battery Estimation in Online Framework Using Extreme Gradient Boosting Machine Learning Approach

open access: yesMathematics, 2022
The battery management system in an electric vehicle must be reliable and durable to forecast the state of charge. Considering that battery degradation is generally nonlinear, state of charge (SOC) estimation with lower degradation can be challenging ...
Sadiqa Jafari   +3 more
doaj   +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

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

Home - About - Disclaimer - Privacy