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Battery Models for Battery Powered Applications: A Comparative Study [PDF]

open access: yesEnergies, 2020
Battery models have gained great importance in recent years, thanks to the increasingly massive penetration of electric vehicles in the transport market.
Nicola Campagna   +6 more
doaj   +2 more sources

Battery Modeling [PDF]

open access: yes, 2008
The use of mobile devices is often limited by the capacity of the employed batteries. The battery lifetime determines how long one can use a device. Battery modeling can help to predict, and possibly extend this lifetime.
Haverkort, B.R., Jongerden, M.R.
core   +3 more sources

Large lithium-ion battery model for secure shared electric bike battery in smart cities [PDF]

open access: yesNature Communications
Electric bikes powered by lithium-ion batteries are increasingly used in smart cities to promote sustainable mobility and efficient delivery services. However, limited battery range and slow plug-in charging remain key challenges.
Donghui Ding   +8 more
doaj   +2 more sources

Simulation of heat dissipation model of lithium-ion battery pack [PDF]

open access: yesE3S Web of Conferences, 2021
Lithium-ion power battery has become an important part of power battery. According to the performance and characteristics of lithiumion power battery, the influence of current common charge and discharge and different cooling methods on battery ...
Li Maode, He Chuan, Zheng Jinkui
doaj   +1 more source

Kalman Filter Tuning Using Multi-Objective Genetic Algorithm for State and Parameter Estimation of Lithium-Ion Cells

open access: yesBatteries, 2022
To ensure a reliable and safe operation of battery systems in various applications, the system’s internal states must be observed with high accuracy.
Michael Theiler   +2 more
doaj   +1 more source

Joint estimation of SOC and SOH for lithium-ion batteries based on EKF multiple time scales [PDF]

open access: yesJournal of Intelligent Manufacturing and Special Equipment, 2020
Purpose – The operation state of lithium-ion battery for vehicle is unknown and the remaining life is uncertain. In order to improve the performance of battery state prediction, in this paper, a joint estimation method of state of charge (SOC) and state ...
Peiqing Li   +4 more
doaj   +1 more source

State-of-Charge Estimation Method for Lithium-Ion Batteries Using Extended Kalman Filter With Adaptive Battery Parameters

open access: yesIEEE Access, 2023
Accurate battery state-of-charge (SOC) estimation is important for the efficient and reliable operation of battery application systems. The extended Kalman filter (EKF), which is based on the battery model, is widely used as a real-time SOC estimation ...
Jaejung Yun   +4 more
doaj   +1 more source

Parameter Identification and State-of-Charge Estimation for Lithium-Ion Batteries Using Separated Time Scales and Extended Kalman Filter

open access: yesEnergies, 2021
With the development of new energy vehicle technology, battery management systems used to monitor the state of the battery have been widely researched. The accuracy of the battery status assessment to a great extent depends on the accuracy of the battery
Kuo Yang, Yugui Tang, Zhen Zhang
doaj   +1 more source

Electric Vehicle Charging Fault Monitoring and Warning Method Based on Battery Model

open access: yesWorld Electric Vehicle Journal, 2021
With the development of electric vehicles in China, the fault monitoring and warning systems for the charging process of electric vehicles have received the industry’s attention. A method for the monitoring and warning of electric vehicle charging faults
Yuanxing Zhang   +6 more
doaj   +1 more source

Model migration neural network for predicting battery aging trajectories [PDF]

open access: yes, 2020
Accurate prediction of batteries’ future degradation is a key solution to relief users’ anxiety on battery lifespan and electric vehicle’s driving range. Technical challenges arise from the highly nonlinear dynamics of battery aging.
Gao, Furong   +5 more
core   +1 more source

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