Results 11 to 20 of about 50,866 (259)

Error Analysis of Model-based State-of-Charge Estimation for Lithium-Ion Batteries at Different Temperatures

open access: yesInternational Journal of Electrochemical Science, 2020
State-of-charge (SOC) estimation of lithium-ion batteries (LIBs) is one of the core functions of a battery management system (BMS). Until now, numerous approaches have been proposed to achieve high- accuracy SOC estimation, among which the model-based ...
Zhong Ren   +3 more
doaj   +1 more source

Impact of Thermal Variability on SOC Estimation Algorithms

open access: yesCoRR, 2023
While the efficiency of renewable energy components like inverters and PV panels is at an all-time high, there are still research gaps for batteries. Lithium-ion batteries have a lot of potential, but there are still some problems that need fixing, such as thermal management. Because of this, the battery management system accomplishes its goal.
Wasiue Ahmed   +2 more
openaire   +2 more sources

A Multi-Scale Time Method for the State of Charge and Parameter Estimation of Lithium-Ion Batteries Using MIUKF-EKF

open access: yesFrontiers in Energy Research, 2022
Accurate state estimation is essential for the safe and reliable operation of lithium-ion batteries. However, the accuracy of the battery state estimation depends on the accuracy of the battery parameters.
Shiyu Ji, Yi Sun, Zexing Chen, Wu Liao
doaj   +1 more source

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

OntoSoC: An ontology-based approach to battery pack SoC estimation

open access: yesProcedia Computer Science, 2023
A critical aspect of managing lithium-ion battery packs in electric vehicle applications is accurately determining the State of Charge (SoC). There are several methods available to estimate it, including coulomb counting with direct evaluation, Open circuit voltage, kalman filter with adaptive approach, particle flter, as well as fuzzy logic and data ...
Hamouni, Ala Eddine   +5 more
openaire   +2 more sources

Implementation of a Fuel Estimation Algorithm on SoC FPGA [PDF]

open access: yes2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019
This paper proposes hardware architecture for a fuel estimation algorithm suitable for SoC FPGA. The architecture utilizes 32-point single precision floating point representation. A resource constraint scheduling algorithm is elaborated to synthesize an area efficient architecture.
Imed Ben Dhaou   +2 more
openaire   +2 more sources

Stable and Accurate Estimation of SOC Using eXogenous Kalman Filter for Lithium-Ion Batteries

open access: yesSensors, 2023
The state of charge (SOC) for a lithium-ion battery is a key index closely related to battery performance and safety with respect to the power supply system of electric vehicles.
Qizhe Lin   +5 more
doaj   +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

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

Home - About - Disclaimer - Privacy