Battery for Electrical Vehicle

Due to environmental problems in the world, the need for electric vehicles is increasing. While the transition to Electric Vehicles continues, the acceleration of this process plays an important role in reducing environmental problems. In order to accelerate this transition, charging units should become widespread and charging time should be reduced. Higher power charging units are needed to reduce charging time. This is where DC (Direct Current) fast charging units come into play. In this study, the charging process of electric vehicles, the behavior of the DC fast charging unit on the battery and the control systems are modeled in MATLAB/Simulink environment. The designed model represents the electric power system that will charge electric vehicles and is suitable for more than one electric vehicle to be included in the DC fast charging system. The simulation is integrated according to the DC level-2 charging conditions. The system model consists of 1 AC(AC Current)/DC converter, 1 DC busbar, 2 DC/DC converters to charge electric vehicles and multiple EV batteries. The system model includes the design methods (AC/DC-DC/DC) design and different control strategies) and descriptions of these components. The simulation result shows that the filter and control system integrations in the electrical power system exhibit more stable behavior by correcting the negative effects on the power system. Thus, it offers positive outputs about the integration of DC fast charging units, which will increase rapidly in the future, into the power system and how this process should be established.

FLAH AYMEN was born in Tunisia in Gabes, on 1_1_83. Dr Flah his Ph.D in electrical engineering from National school of engineering of Gabes in Tunisia. He received MS.c. in automatic and intelligent techniques from National school of engineering of Gabes in Tunisia
He has extensive experience in motor control applications. In addition, he has elaborated a number of applications using intelligent techniques such as fuzzy logic, neural network, optimization techniques as PSO and BFO.

Rechargeable batteries like Lithium-ion and Zinc batteries have high levels of energy and power density among other electrochemical batteries such Lead acid battery etc. The high level of energy and power density of these batteries makes them suitable as the energy storage in electric, hybrid electric vehicle, and plug-in vehicles (EV/HEV/PHEV). One of the important requirements in automotive batteries is to monitor their state-of-charge (SOC), state-of-health (SOH), terminal voltage, open circuit voltage and temperature parameters on line. Open circuit voltage, is one of the parameter used for predicting the SOC in the battery, which is not readily available during charge and discharge cycles. Online comparison of the predicted and measured terminal voltage provides a tool for calculating the SOC and SOH. In this research paper attempt is made to design the system for online monitoring of battery performance parameters for battery operated vehicles or plug-in vehicles.