scholarly journals Range Estimation of Battery Electric Vehicle by Mathematical Modelling of Battery’s Depth-of-Discharge

2019 ◽  
Vol 8 (6) ◽  
pp. 3987-3992
Keyword(s):  
Mathematical Modelling ◽  
Electric Vehicle ◽  
Lithium Ion ◽  
Battery Electric Vehicle ◽  
Lead Acid Battery ◽  
Range Estimation ◽  
Drive Cycle ◽  
Tractive Effort ◽  
Depth Of Discharge ◽  
Design Type

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.

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
Keyword(s):  
Electric Vehicle ◽  
Test Procedure ◽  
Lithium Ion ◽  
Constant Current ◽  
Experimental Setup ◽  
Battery Electric Vehicle ◽  
Spatially Resolved ◽  
Lithium Ion Cell ◽  
Static And Dynamic Loads ◽  
Prismatic Cell

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.

Distributed Battery Management System in Battery Electric Vehicle

2011 ◽  
Vol 201-203 ◽  
pp. 2427-2430
Author(s):  
Yuan Liao ◽  
Ju Hua Huang ◽  
Qun Zeng
Keyword(s):  
Lithium Ion Battery ◽  
Electric Vehicle ◽  
Management System ◽  
Lithium Ion ◽  
Battery Management System ◽  
Battery Electric Vehicle ◽  
Battery Management ◽  
Extended Kalman Filtering ◽  
Battery Packs ◽  
Master Module

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.

scholarly journals The impact of reliable range estimation on battery electric vehicle feasibility

2019 ◽  
Vol 14 (11) ◽  
pp. 833-842 ◽  
Author(s):  
Jing Dong ◽  
Xing Wu ◽  
Changzheng Liu ◽  
Zhenhong Lin ◽  
Liang Hu
Keyword(s):  
Electric Vehicle ◽  
Battery Electric Vehicle ◽  
Range Estimation ◽  
The Impact

scholarly journals Symbolic Math-Based Battery Modeling for Electric Vehicle Simulation

2010 ◽  
Author(s):  
Aden N. Seaman ◽  
John McPhee
Keyword(s):  
Differential Equations ◽  
Electric Vehicle ◽  
Vehicle Dynamics ◽  
Battery Electric Vehicle ◽  
Tight Coupling ◽  
Drive Cycle ◽  
Battery Modeling ◽  
Vehicle Simulation ◽  
Battery Model ◽  
System Components

We present results of a math-based model of a battery electric vehicle (BEV) designed in MapleSim. This model has the benefits of being described in a physically consistent way using acausal system components. We used a battery model by Chen and Rinc´on-Mora to develop a math-based model of a complete battery pack, and developed simple power controller, motor/generator, terrain, and drive-cycle models to test the vehicle under various conditions. The resulting differential equations are simplified symbolically and then simulated numerically to give results that are physically consistent and clearly show the tight coupling between the battery and longitudinal vehicle dynamics.

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