An Online State-of-Health Estimation Algorithm for Electric Vehicles through Aging Tendency of Open Circuit Voltage

2019 ◽  
Author(s):  
Tae-Won Noh ◽  
Hae-Chan Han ◽  
Byoung Kuk Lee
Keyword(s):  
Electric Vehicles ◽  
Open Circuit Voltage ◽  
Estimation Algorithm ◽  
Open Circuit ◽  
State Of Health

A Novel Design of SOC Prediction for an Electrical Vehicle Based on the Intelligent Algorithm

2012 ◽  
Vol 468-471 ◽  
pp. 601-606 ◽  
Author(s):  
Hao Qiu ◽  
Zheng Bao Lei ◽  
Tom Zi Ming Qi
Keyword(s):  
Neural Network ◽  
Electric Vehicles ◽  
Open Circuit Voltage ◽  
Open Circuit ◽  
Intelligent Algorithm ◽  
Electrical Vehicle ◽  
Fuzzy Neural ◽  
Intelligent Methods ◽  
Novel Design

This paper is to present a novel design to predict the State of charge (SOC) of the batteries for the Electric Vehicles (EV) using a voltage descent model which has been built based on the analysis of adaptive fuzzy neural intelligent algorithm (AFNIA) and the charge/discharge experimental data of Electric Vehicle. In this design, an improved BP neural network has also been proposed to indicate the correlation between open circuit voltage and SOC. An experiment employed a Lateral Moving and In Situ Steering EV built by Shenzhen Polytechnic. The test and simulation results showed that the intelligent methods can accurately predict the SOC of lithium batteries. The combination of fuzzy control and neural network can achieve an effective way of predicting the SOC of batteries.

Study on Zn-PANi Battery Characteristics Used for Electric Vehicles

2013 ◽  
Vol 724-725 ◽  
pp. 1374-1378
Author(s):  
Sheng Min Cui ◽  
Yuan Lu ◽  
Jin Ping Song ◽  
Jian Feng Wang ◽  
Wen Feng Ding
Keyword(s):  
Electric Vehicles ◽  
Open Circuit Voltage ◽  
Discharge Rate ◽  
Short Circuit ◽  
Dynamic Test ◽  
Open Circuit ◽  
Test Cycle ◽  
Advantages And Disadvantages ◽  
Power Battery ◽  
The Relationship

To study Zn-PANi (polyaniline) battery dynamic characteristics a vehicle power supply based on miniature electric vehicles was designed. And the power battery dynamic test cycle was determined according to the vehicle test cycle prescribed under GB using Land battery testing system. The power battery steady characteristics tests include battery voltage test, per gram capacity test, self-discharge rate test, open circuit voltage and impedance test, cycle life test and short circuit test. Battery discharge characteristics include the relationship between discharge voltage and time, DOD(depth of discharge), the relationship between open circuit voltage, impedance and SOC in different discharge currents. Rationalization proposals in using Zn-PANi batteries efficiently by analyzing battery characteristics, advantages and disadvantages as power batteries are put forward.

scholarly journals Recursive State of Charge and State of Health Estimation Method for Lithium-Ion Batteries Based on Coulomb Counting and Open Circuit Voltage

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1811 ◽  
Author(s):  
Alejandro Gismero ◽  
Erik Schaltz ◽  
Daniel-Ioan Stroe
Keyword(s):  
Open Circuit Voltage ◽  
Estimation Method ◽  
Lithium Ion ◽  
Open Circuit ◽  
Operating Conditions ◽  
State Of Charge ◽  
Recursive Least Squares ◽  
State Of Health ◽  
Operation Conditions ◽  
Extensive Test

The state of charge (SOC) and state of health (SOH) are two crucial indicators needed for a proper and safe operation of the battery. Coulomb counting is one of the most adopted and straightforward methods to calculate the SOC. Although it can be implemented for all kinds of applications, its accuracy is strongly dependent on the operation conditions. In this work, the behavior of the batteries at different current and temperature conditions is analyzed in order to adjust the charge measurement according to the battery efficiency at the specific operating conditions. The open-circuit voltage (OCV) is used to reset the SOC estimation and prevent the error accumulation. Furthermore, the SOH is estimated by evaluating the accumulated charge between two different SOC using a recursive least squares (RLS) method. The SOC and SOH estimations are verified through an extensive test in which the battery is subjected to a dynamic load profile at different temperatures.

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