Results 201 to 210 of about 50,866 (259)

SoC Estimation Techniques for Efficient Agricultural Robots

IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021
Agricultural Robots are key and promising solutions for safe and sustainable food production. They can improve the quality of life of farmworkers, help reduce water and air pollution associated with traditional agricultural practices, enable bio and chemical-free crops. Finally, their deployment could bring us a better world.
German Monsalve   +2 more
openaire   +1 more source

Modeling and SOC estimation of LiFePO4 battery

2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2016
In order to estimate the state of charge (SOC) of LiFePO4 battery more accurately, an improved Extended Kalman Filter (EFK) algorithm is proposed to estimate the parameters in the least squared identification model. A second-order RC equivalent circuit is used as the battery model, and an additive term is introduced into the state equation for real ...
Peng Cheng   +3 more
openaire   +1 more source

High frequency jitter estimator for SoCs

2015 20th IEEE European Test Symposium (ETS), 2015
This paper presents an Embedded Test Instrument (ETI) for the estimation of the High Frequency (HF) jitter of an observed clock signal. The ETI uses a second reference clock for under-sampling the observed signal similar to previous approaches. However, the analysis of the test response does not require the construction of the Cumulative Distributed ...
Hervé Le Gall   +5 more
openaire   +1 more source

Adaptive state of charge (SOC) estimator for a battery

2006 American Control Conference, 2006
This work proposes an adaptive least-squares estimation strategy to determine the state of charge (SOC) for an electro-chemical battery. An estimation analysis is presented which proves that under a set of qualifying conditions, that the SOC of the battery can be estimated.
Michael L. McIntyre   +3 more
openaire   +1 more source

A New SOC Estimation Algorithm

2018
The DE algorithm has strong global search ability and robustness, but also has the shortcoming of slow convergence speed and local search ability is insufficient, and TLBO algorithm has the advantage of strong local search ability and faster convergence speed, but will be fall into the local optimum when dealing with complex problems.
Weihua Zhong, Fahui Gu, Wenxiang Wang
openaire   +1 more source

EKF-based estimation of SOC and temperature in ultracapacitors

2013 10th IEEE International Conference on Control and Automation (ICCA), 2013
In this paper, simultaneous estimation of state-of-charge (SOC) and temperature is achieved by applying extended Kalman filter (EKF) algorithm with only the terminal measurement of voltage and current. For the application of EKF algorithm, a nonlinear model which consists of a voltageand-thermal-dependent equivalent circuit model and a thermal model is
Chia-Jui Chiang   +2 more
openaire   +1 more source

Overview of lithium-ion battery SOC estimation

2015 IEEE International Conference on Information and Automation, 2015
In this paper, different types of batteries are summarized which are used in electric vehicles. The performance of the battery, including material, duration, environment impact such factors can seriously restrain the development of renewable vehicles. Battery state-of-charge (SOC) plays an important role in vehicle driving regulation.
Yimin Zhou 0001, Xiaoyun Li
openaire   +1 more source

Design of EKF-based SoC estimator for an ultracapacitor module

IEEE EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), 2015
This paper presents the design of ultracapacitor module state-of-charge (SoC) estimator based on an Extended Kalman Filter (EKF). A lumped-parameter resistive-capacitive (RC) electrical circuit representation of ultracapacitor module has been used for EKF design, wherein non-linear capacitance effects have been included through SoC-dependent ...
Danijel Pavkovic   +4 more
openaire   +2 more sources

A Study on Estimation of SOC of Emus Batteries

2020 39th Chinese Control Conference (CCC), 2020
The on-board batteries of the Emus have extremely high accuracy requirements for real-time estimation of state of charge (SOC). The ordinary Ah integration method and the open-circuit voltage method cannot meet the actual requirements of the Emus. This paper estimates the battery SOC based on the extended Kalman filter (EKF) algorithm.
Wen long Ma   +3 more
openaire   +1 more source

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