scholarly journals Thermal Modelling of a Prismatic Lithium-Ion Cell in a Battery Electric Vehicle Environment: Influences of the Experimental Validation Setup

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 62 ◽  
Author(s):  
Jan Kleiner ◽  
Lidiya Komsiyska ◽  
Gordon Elger ◽  
Christian Endisch

In electric vehicles with lithium-ion battery systems, the temperature of the battery cells has a great impact on performance, safety, and lifetime. Therefore, developing thermal models of lithium-ion batteries to predict and investigate the temperature development and its impact is crucial. Commonly, models are validated with experimental data to ensure correct model behaviour. However, influences of experimental setups or comprehensive validation concepts are often not considered, especially for the use case of prismatic cells in a battery electric vehicle. In this work, a 3D electro–thermal model is developed and experimentally validated to predict the cell’s temperature behaviour for a single prismatic cell under battery electric vehicle (BEV) boundary conditions. One focus is on the development of a single cell’s experimental setup and the investigation of the commonly neglected influences of an experimental setup on the cell’s thermal behaviour. Furthermore, a detailed validation is performed for the laboratory BEV scenario for spatially resolved temperatures and heat generation. For validation, static and dynamic loads are considered as well as the detected experimental influences. The validated model is used to predict the temperature within the cell in the BEV application for constant current and Worldwide harmonized Light vehicles Test Procedure (WLTP) load profile.

2015 ◽  
Vol 297 ◽  
pp. 242-251 ◽  
Author(s):  
Simon F. Schuster ◽  
Martin J. Brand ◽  
Philipp Berg ◽  
Markus Gleissenberger ◽  
Andreas Jossen

2011 ◽  
Vol 201-203 ◽  
pp. 2427-2430
Author(s):  
Yuan Liao ◽  
Ju Hua Huang ◽  
Qun Zeng

According to the features of lithium ion battery packs, a distributed battery management system (BMS) for battery electric vehicle (BEV) is designed in this article. The BMS consists of a master module with several sampling modules. The kernel of master module is TMS320C2812 digital signal processor, and the kernel of sampling module is P87C591 singlechip. The main functions of master module include estimation of state of charge (SOC) and security management of lithium ion battery packs, and the main functions of sampling module include battery information collection and CAN bus based communication. SOC estimation method based on Extended Kalman filtering (EKF) theory is adopted in this article to precisely estimate the SOC of lithium ion battery packs.


2015 ◽  
Vol 22 (5) ◽  
pp. 1227-1232 ◽  
Author(s):  
Misaki Katayama ◽  
Ryota Miyahara ◽  
Toshiki Watanabe ◽  
Hirona Yamagishi ◽  
Shohei Yamashita ◽  
...  

Apparatus for a technique based on the dispersive optics of X-ray absorption fine structure (XAFS) has been developed at beamline BL-5 of the Synchrotron Radiation Center of Ritsumeikan University. The vertical axis of the cross section of the synchrotron light is used to disperse the X-ray energy using a cylindrical polychromator and the horizontal axis is used for the spatially resolved analysis with a pixel array detector. The vertically dispersive XAFS (VDXAFS) instrument was designed to analyze the dynamic changeover of the inhomogeneous electrode reaction of secondary batteries. The line-shaped X-ray beam is transmitted through the electrode sample, and then the dispersed transmitted X-rays are detected by a two-dimensional detector. An array of XAFS spectra in the linear footprint of the transmitted X-ray on the sample is obtained with the time resolution of the repetition frequency of the detector. Sequential measurements of the space-resolved XAFS data are possible with the VDXAFS instrument. The time and spatial resolutions of the VDXAFS instrument depend on the flux density of the available X-ray beam and the size of the light source, and they were estimated as 1 s and 100 µm, respectively. The electrode reaction of the LiFePO4lithium ion battery was analyzed during the constant current charging process and during the charging process after potential jumping.


This paper presents the mathematical modelling of Battery Electric Vehicle (BEV) based on the depth-of-discharge (DOD) for range estimation of the vehicle using MATLAB/Simulink software. In this scheme, the lead acid battery and lithium ion battery are considered for depth of discharge computation and the range is estimated for the Simplified Federal Urban Drive Cycle (SFUDC) and European urban drive cycle. The analysis comprises with the tractive effort, machine and accessories losses are accounted. The potential values of the BEV are assessed with design, type and parameters of the vehicle. The complete mathematical model is simulated and the comprehensive results are tabulated.


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