Results 31 to 40 of about 3,707,277 (244)

Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation

, 2020
Battery management is critical to enhancing the safety, reliability, and performance of the battery systems. This paper presents a cloud battery management system for battery systems to improve the computational power and data storage capability by cloud
Weihan Li, Monika Rentemeister, J. Badeda, Dominik Jöst, D. Schulte, D. Sauer   +5 more
semanticscholar   +1 more source

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

, 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, Bhangu, B S, Bingham, Chris, Stone, D A   +3 more
core   +1 more source

A New Hybrid Neural Network Method for State-of-Health Estimation of Lithium-Ion Battery

Energies, 2022
Accurate estimation of lithium-ion battery state-of-health (SOH) is important for the safe operation of electric vehicles; however, in practical applications, the accuracy of SOH estimation is affected by uncertainty factors, including human operation ...
Zhengyi Bao, Jiahao Jiang, Chunxiang Zhu, Mingyu Gao   +3 more
doaj   +1 more source

State of health estimation of Li-ion batteries with regeneration phenomena: a similar rest time-based prognostic framework [PDF]

, 2016
State of health (SOH) prediction in Li-ion batteries plays an important role in intelligent battery management systems (BMS). However, the existence of capacity regeneration phenomena remains a great challenge for accurately predicting the battery SOH ...
Guo, Jianbin, Qin, Taichun, Skaf, Zakwan, Zeng, Shengkui   +3 more
core   +2 more sources

Battery Aging Models Based on High-Current Incremental Capacity in Fast Charging

Batteries, 2022
This paper presents battery aging models based on high-current incremental capacity features in the presence of battery cycling profiles characterized by fast charging conditions.
Ludovico Lombardi, Brian Ospina Agudelo, Walter Zamboni, Eric Monmasson   +3 more
doaj   +1 more source

A Review of Non-Destructive Techniques for Lithium-Ion Battery Performance Analysis

World Electric Vehicle Journal, 2023
Lithium-ion batteries are considered the most suitable option for powering electric vehicles in modern transportation systems due to their high energy density, high energy efficiency, long cycle life, and low weight.
Ximena Carolina Acaro Chacón, Stefano Laureti, Marco Ricci, Gregorio Cappuccino   +3 more
doaj   +1 more source

State-of-charge and state-of-health prediction of lead-acid batteries for hybrid electric vehicles using non-linear observers [PDF]

, 2005
The paper describes the application of state-estimation techniques for the real-time prediction of state-of-charge (SoC) and state-of-health (SoH) of lead-acid cells.
Bentley, P, Bhangu, B S, Bingham, Chris, Stone, D A   +3 more
core   +1 more source

Dual Nonlinear Kalman Filter-Based SoC and Remaining Capacity Estimation for an Electric Scooter Li-NMC Battery Pack

Energies, 2020
Accurate, real-time estimation of battery state-of-charge (SoC) and state-of-health represents a crucial task of modern battery management systems.
Filip Maletić, Mario Hrgetić, Joško Deur   +2 more
doaj   +1 more source

State-of-Health Estimation for Lithium-Ion Batteries via Incremental Energy Analysis and Hybrid Deep Learning Model

Batteries
Accurate State-of-Health (SOH) estimation is a key technology for ensuring battery safety, optimizing energy management, and enhancing lifecycle value.
Yan Zhang, Anxiang Wang, Chaolong Zhang, Peng He, Kui Shao, Kaixin Cheng, Yujie Zhou   +6 more
doaj   +1 more source

A Systematic Literature Review of State of Health and State of Charge Estimation Methods for Batteries Used in Electric Vehicle Applications

World Electric Vehicle Journal, 2023
In recent years, artificial intelligence and machine learning have captured the attention of researchers and industrialists in order to estimate and predict the state of batteries. The quality of data must be good, and the source of data must be the same
Radhika Swarnkar, Harikrishnan Ramachandran, Sawal Hamid Md Ali, Rani Jabbar   +3 more
doaj   +1 more source