scholarly journals Simulation of the Electrochemical and Thermal Properties of Electric Vehicle Power Batteries

2020 ◽  
Vol 71 (4) ◽  
pp. 615-632
Author(s):  
Jing Jing Li ◽  
Meng Chen
Keyword(s):  
Lithium Ion Battery ◽  
Temperature Increase ◽  
Thermal Model ◽  
Control Method ◽  
Three Dimensional ◽  
Lithium Ion ◽  
Simulation Software ◽  
Battery Management System ◽  
Power Performance ◽  
Discharge Rates

The optimal energy and power performance of lithium ion batteries can be attained if a suitable thermal battery management system is used. Furthermore, to ensure the safe operation, a well functioning temperature control method, is needed. To achieve these goals, the simulation software COMSOL Multiphysics used to construct a three-dimensional electrochemical/thermal model of a monomer lithium ion battery. The simulation makes it possible to study the thermal characteristics at different ambient temperatures and different discharge rates. The obtained main outcomes are 1) The temperature of the lithium ion battery increases with increasing discharge ratio, and a sudden temperature increase is observed for higher discharge ratios, 2) For constant discharge rates, the temperature increase of the battery occurs mainly in the positive and negative electrode region, while lower temperatures are observed in the center and lower-edge region. A comparison between simulation and obtained date, indicates that the three-dimensional electrochemical/thermal model of the monomer lithium ion battery described the lithium ion battery well in terms of both heat generation and heat transfer.

Thermal Analysis of Lithium Ion Batteries Using in HEV

2013 ◽  
Vol 470 ◽  
pp. 362-365 ◽  
Author(s):  
Gaoussou Hadia Fofana ◽  
You Tong Zhang
Keyword(s):  
Thermal Analysis ◽  
Lithium Ion Batteries ◽  
Lithium Ion Battery ◽  
Analytical Modeling ◽  
Three Dimensional ◽  
Lithium Ion ◽  
Function Technique ◽  
Discharge Rates ◽  
Convection Cooling ◽  
Greens Function

The lithium ion battery, thanks to their high density and high power, became promotes element for hybrid and EV vehicles. After several recent researches, it has been proved that lithium ion batteries are currently confronts a problem of temperature rise during their operation discharge, which affects the batteries performance, efficiency and reduces the life of lithium ion battery. However, this work is set to access the three dimensional analytical modeling based on Greens Function technique to study the thermal behavior of lithium-ion battery during discharge with different discharge rates (0.3C, C/2,1C, 2C,) and strategies natural convection cooling on the surface of the battery is performed.

scholarly journals Active Cell Balancing Control Method for Series-Connected Lithium-Ion Battery

2019 ◽  
Vol 8 (9) ◽  
pp. 2424-2430 ◽  
Keyword(s):  
Lithium Ion Battery ◽  
Control Method ◽  
Estimation Error ◽  
Lithium Ion ◽  
Rechargeable Batteries ◽  
Battery Management System ◽  
Battery Management ◽  
Soc Estimation ◽  
Terminal Voltage ◽  
Charge Balancing

Power conveyance potentiality for series and parallel allied battery-packages are constrained by the wickedest cell of the string. Every cell contains marginally dissimilar capability and terminal voltage because of industrialized acceptances and functional situations. During charging or discharging progression, the charge status of the cell strings become imbalanced and incline to loss equalization. Therefore, the enthusiasm of this paper is to design an active charge balancing system for Lithium-ion battery pack with the help of online state of charge (SOC) estimation technique. A Battery Management System (BMS) is modeled by means of controlling the SOC of the cells to upsurge the efficacy of rechargeable batteries. The capacity of each cell is calculated by dint of SOC function estimated as a result of Backpropagation Neural Network (BPNN) algorithm through four switched DC/DC Buck-Boost converter. The simulation results confirm that the designed BMS can synchronize the cell equalization via curtailing the SOC estimation error (RMSE 1.20%) productively.

Electrochemical and thermal characteristics of prismatic lithium-ion battery based on a three-dimensional electrochemical-thermal coupled model

2021 ◽  
Vol 42 ◽  
pp. 102976
Author(s):  
Huanhuan Li ◽  
Ashwani Saini ◽  
Chengyang Liu ◽  
Jufeng Yang ◽  
Yaping Wang ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Three Dimensional ◽  
Thermal Characteristics ◽  
Coupled Model ◽  
Lithium Ion

scholarly journals Estimation of lithium-ion battery state-of-charge using an extended kalman filter

2021 ◽  
Vol 10 (4) ◽  
pp. 1759-1768
Author(s):  
Mouhssine Lagraoui ◽  
Ali Nejmi ◽  
Hassan Rayhane ◽  
Abderrahim Taouni
Keyword(s):  
Kalman Filter ◽  
Lithium Ion Battery ◽  
Extended Kalman Filter ◽  
Lithium Ion ◽  
The State ◽  
Operating Conditions ◽  
State Of Charge ◽  
Ohmic Loss ◽  
Battery Management System ◽  
Transfer Resistance

The main goal of a battery management system (BMS) is to estimate parameters descriptive of the battery pack operating conditions in real-time. One of the most critical aspects of BMS systems is estimating the battery's state of charge (SOC). However, in the case of a lithium-ion battery, it is not easy to provide an accurate estimate of the state of charge. In the present paper we propose a mechanism based on an extended kalman filter (EKF) to improve the state-of-charge estimation accuracy on lithium-ion cells. The paper covers the cell modeling and the system parameters identification requirements, the experimental tests, and results analysis. We first established a mathematical model representing the dynamics of a cell. We adopted a model that comprehends terms that describe the dynamic parameters like SOC, open-circuit voltage, transfer resistance, ohmic loss, diffusion capacitance, and resistance. Then, we performed the appropriate battery discharge tests to identify the parameters of the model. Finally, the EKF filter applied to the cell test data has shown high precision in SOC estimation, even in a noisy system.

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