الفهرس 
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Abstract
Abstract
Since the hybrid electric vehicles (HEVs) are gaining the world attention due to their ability to reduce fuel consumption while reducing the emission. There is a progressively interest in the automotive industry to use HEVs; because they merge the advantages of internal combustion engine vehicles (ICEVs) and electric vehicles (EVs). However, this merge produces a complex system not only in having more systems and components but also in managing these systems together to trace the variable operating conditions of the vehicle.
Recent previous work in this area focused on improving the performance of HEVs through introducing an energy management system either on the basis of fuel economy and/or emission control and the component’s life time. Research was divided into three different configurations including series, parallel and series/ parallel configurations. Results achieved indicated that using different control strategies including fuzzy logic control (FLC), neural network control and other control methods could improve the HEV performance parameters but at the expense of increasing the system complexities and the requirements from the controllers in terms of the required response time.
In the work presented here, it was focused on introducing a practical management system to improve both the component lifetime and the fuel economy. An EMS for a series HEV based on Stateflowtechnique was proposed in order to reduce the system complexity regardless of the individual performance of the selected components.
Firstly, mathematical models have been established using MATLAB/Simulink environment for both the driver, traction battery, electric motor to be used in vehicle traction, genset (generator-set) to recharge the battery when its state of charge (SOC) falls below a certain value, and vehicle dynamics to represent the longitudinaldynamic performance of the vehicle during both traction or braking modes.
Secondly, the proposed EMS based on the selected HEV model has been implemented in order to enable and disable the genset, control the genset to be run with a constant speed to recharge the battery and supplies the traction motor. In addition, the proposed EMS determines the driving mode of the vehicle which is responsible to specify the motor torque, friction brake, and regenerative brake requests. Then, the overall system has been evaluated under different standard driving cycles; in order to validate the EMS under different driving conditions.