Results 271 to 280 of about 724,994 (302)

SOC Estimation

2022
Shichun Yang, Xinhua Liu, Shen Li, Cheng Zhang   +3 more
openaire   +1 more source

High-Level Energy Estimation for ARM-Based SOCs

2004
In recent years, power consumption has become a critical concern for many VLSI systems. Whereas several case studies demonstrate that technology-, layout-, and gate-level techniques offer power savings of a factor of two or less, architecture and system-level optimization can often result in orders of magnitude lower power consumption.
Dan Crisu, Sorin Cotofana, Stamatis Vassiliadis, Petri Liuha   +3 more
openaire   +1 more source

A single-point EIS measurement for SOC estimation of supercapacitor

2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
A proper estimation of the state of charge (SOC) of an energy storage device plays a vital role in the efficient management of the battery system. In this research article, the SOC of a cylindrical hybrid supercapacitor (4000F, 4.2V) has been accurately estimated using a gaussian process regression (GPR) model and a post processing unit.
Bianchi V., Canzanella F., Ali S., De Munari I., Ciani L., Patrizi G.   +5 more
openaire   +3 more sources

SOC estimation of rechargeable batteries

2015
Master of Science (Power Engineering)
openaire   +1 more source

Survey on Fast Charging with SoC Estimation

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), 2022
C R Amrutha Varshini, Ayush Tiwari, Arya Jha, K Rahul Annamalai, K. Deepa, V. Sailaja   +5 more
openaire   +1 more source

Review of Battery SOC Estimating Methods and Enhanced Algorithm for Estimating SOC based on OCV-AHC Approach

2022 International Conference on Electronics and Renewable Systems (ICEARS), 2022
Uma Ravi Sankar Yalavarthy, Venkata Siva Krishna Rao Gadi   +1 more
openaire   +1 more source

SOC estimation of Li-ion battery using convolutional neural network with U-Net architecture

Energy, 2022
Xinyuan Fan, Weige Zhang, Caiping Zhang   +2 more
exaly  

Review on the Battery Model and SOC Estimation Method

Processes, 2021
Yanping Zheng
exaly  

Machine Learning for SOC Estimation in Li-Ion Batteries

State of Charge estimation is very important to deliver essential information about battery charge and aging level of Li-ion batteries in Electric Vehicles. This paper applies the Deep Leaning and Machine Learning approaches comparing decision tree and Long Short-Term Memory for estimating the State of Charge.
Di Dio R., Gianluca A., Di Rienzo R., Saletti R.   +3 more
openaire   +2 more sources

Effect analysis on SOC values of the power lithium manganate battery during discharging process and its intelligent estimation

Energy, 2022
Hongyan Zuo, Bin Zhang, Zhonghua Huang   +2 more
exaly