Results 261 to 270 of about 639,841 (326)

Estimation of State of Charge of Battery

2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), 2021
Most common man would think Electric Vehicles are the future, but it is not, Electric Vehicles are here and as we push importance of green energy in the present world EVs are becoming the best choice for environment. And most important thing in Electric Vehicles is Battery Management System (BMS). Our proposed work is helpful in selecting more suitable
Mohanapriya V, Manimegalai V, Sharmila B, Sinivasan M, Vadivel M, Veera rithik S   +5 more
openaire   +1 more source

Performance Comparison of Nonlinear State Estimators for State-of-Charge Estimation of Supercapacitor

2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI), 2021
Accurate state-of-Charge (SOC) estimation of supercapacitor is very crucial for real-time energy management and control of the energy storage device. This paper deals with performance comparison and analysis of the two most commonly used SOC estimators, namely Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) for remaining charge ...
Manika Saha, Pankaj Saha, Munmun Khanra
openaire   +1 more source

OCV-SOC-Temperature Relationship Construction and State of Charge Estimation for a Series– Parallel Lithium-Ion Battery Pack

IEEE transactions on intelligent transportation systems (Print), 2023
Accurate state of charge (SOC) estimation of a battery pack is more meaningful than that of a cell in practical applications. The existing methods are difficult to provide an accurate SOC of a battery pack under a wide range of temperature due to cell ...
Quanqing Yu, Yukun Huang, A. Tang, Chun Wang, W. Shen   +4 more
semanticscholar   +1 more source

Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm

IEEE Transactions on Intelligent Vehicles, 2023
This paper presents an improved machine learning approach for the accurate and robust state of charge (SOC) in electric vehicle (EV) batteries using differential search optimized random forest regression (RFR) algorithm.
M. S. Lipu, M. Hannan, Aini Hussain, Shaheer Ansari, S. Rahman, M. Saad, K. Muttaqi   +6 more
semanticscholar   +1 more source

Battery state-of-charge estimation

Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001
This paper discusses the problem of lead acid battery state-of-charge estimation for (hybrid) electric vehicles. The problem is to accurately estimate the remaining battery capacity for both driver notification and automated energy management. The article presents a review of the problem, existing solution methods, presentation of a new solution method,
null Shuo Pang, J. Farrell, null Jie Du, M. Barth   +3 more
openaire   +1 more source

State of charge estimator for NiMH batteries

Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003
A state of charge estimator for Nickel-Metal Hydride batteries, suitable for hybrid vehicles automotive applications, is proposed. The estimator is based on a statespace dynamic model of the battery which is obtained by modeling the kinetic of reactions and the diffusion phenomena.
Barbarisi O, Canaletti R, Glielmo L, Gosso M, Vasca F   +4 more
openaire   +2 more sources

Data-Driven State of Charge Estimation for Power Battery With Improved Extended Kalman Filter

IEEE Transactions on Instrumentation and Measurement, 2023
Accurately monitoring battery state of charge (SOC) is essential for battery system safety. However, single and open-loop combination algorithms are mainly used for SOC estimation currently, which may have the problems of low accuracy and poor ...
Xingtao Liu, Qiule Li, Li Wang, Mingqiang Lin, Ji Wu   +4 more
semanticscholar   +1 more source

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

IEEE transactions on industrial electronics (1982. Print), 2018
State of charge (SOC) estimation is critical to the safe and reliable operation of Li-ion battery packs, which nowadays are becoming increasingly used in electric vehicles (EVs), Hybrid EVs, unmanned aerial vehicles, and smart grid systems.
Ephrem Chemali, P. Kollmeyer, Matthias Preindl, R. Ahmed, A. Emadi   +4 more
semanticscholar   +1 more source

Li-Ion state of charge estimation methods

2014 22nd Telecommunications Forum Telfor (TELFOR), 2014
The goal of this paper is to describe the key methods for state of charge estimation. The presented techniques are current counting method, open circuit voltage and battery internal resistance method. This paper describes these methods and compares their accuracy.
Petr Kribsky, Jindrich Krivka, Lukas Valda, Jiri Zahour   +3 more
openaire   +1 more source

Combination Algorithm for State of Charge Estimation

2013 International Conference on Communication Systems and Network Technologies, 2013
When using the Ah counting method to estimate state of charge of battery on electric vehicle, it is difficult to measure the initial SOC, and will bring accumulated errors. In order to solve the above problem, we design an algorithm which integrates the open circuit voltage method (OCV), Kalman filter (KF) and Ah counting method (Ah) in this paper ...
null Bo Zhang, null Changhua Lu, null Jinghan Liu   +2 more
openaire   +1 more source