Results 21 to 30 of about 65,480 (296)

A Fusion-Based Method of State-of-Charge Online Estimation for Lithium-Ion Batteries Under Low Capacity Conditions

open access: yesFrontiers in Energy Research, 2021
The accurate estimation of the battery state of charge (SOC) is crucial for providing information on the performance and remaining range of electric vehicles. Based on the analysis of battery charge and discharge data under actual vehicle driving cycles,
Nan Zhou   +7 more
doaj   +1 more source

State-of-charge Estimation of Lithium-ion Battery Based Online Parameter Identification [PDF]

open access: yesE3S Web of Conferences, 2020
Accurately estimating the state of charge (SOC) of lithium-ion is very important to improving the dynamic performance and energy utilization efficiency.
Feng Juqiang   +4 more
doaj   +1 more source

SOC Estimation Methods for Lithium-Ion Batteries without Current Monitoring [PDF]

open access: yes, 2023
State of charge (SOC) estimation is an important part of a battery management system (BMS). As for small portable devices powered by lithium-ion batteries, no current sensor will be configured in BMS, which presents a challenge to traditional current ...
Yaxuan Wang   +4 more
core   +1 more source

Estimation of battery SOC based on improved EKF algorithm [PDF]

open access: yes, 2016
This paper studies the estimation of the state of lithium battery (SOC), and develops an improved extended Kalman filter algorithm for this problem. To compensate deficiencies of the simple polynomial fitting, the neural network algorithm firstly is ...
Liu Shanshan   +7 more
core   +1 more source

Li-ion battery SOC estimation based on EKF algorithm [PDF]

open access: yes, 2015
Li-ion battery is more and more popular in aviation area in recent years for its high energy density, no memory characteristic and long cycle life. The currently used state of charge (SOC) estimation methods based on extended Kalman filter (EKF) doesn ...
Li B(李博)   +5 more
core   +1 more source

Low Temperature, Current Dependent Battery State Estimation Using Interacting Multiple Model Strategy

open access: yesIEEE Access, 2021
Lithium-ion battery State of Charge (SoC) estimation for Electric Vehicle (EV) applications must be robust and as accurate as possible to maximize battery utilization and ensure safe operation over a wide range of operating conditions.
Marvin Messing   +3 more
doaj   +1 more source

Battery Management System for Electric Vehicle and the Study of SOC Estimation [PDF]

open access: yes, 2015
The SOC (state of charge) of the Li-ion battery cells in a pack are different because of the property differences, which would lead to over-charging/over-discharging the battery pack and as a result the service life of the battery pack would be reduced ...
Li B(李博)   +7 more
core   +1 more source

Comparative Study of the Influence of Open Circuit Voltage Tests on State of Charge Online Estimation for Lithium-Ion Batteries

open access: yesIEEE Access, 2020
The accurate state of charge (SoC) online estimation is a significant indicator that relates to driving ranges of electric vehicles (EV). The relationship between open circuit voltage (OCV) and SoC plays an important role in SoC estimation for lithium ...
Yuan Li   +4 more
doaj   +1 more source

Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction

open access: yesConnection Science, 2022
It is challenging for a battery management system to estimate the State-Of-Charge (SOC) of batteries. A novel model-based method, using a Dual Extended Kalman Filtering algorithm (DEKF) and Back Propagation Neural Network (BPNN), is proposed to estimate ...
Likun Xing, Liuyi Ling, Xianyuan Wu
doaj   +1 more source

Application of unscented Kalman filter in the SOC estimation of Li-ion battery for Autonomous Mobile Robot [PDF]

open access: yes, 2006
When the Autonomous Mobile Robot(AMR) is popular in unknown environment, accurate estimation of SOC(State of Charge) is becoming one of the primary challenges in Autonomous Mobile Robots research. However, as defects of the Extended Kalman Filter(EKF) in
Yiwen Zhao   +3 more
core   +1 more source

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