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The EMS(energy management strategy) based on fuzzy logic is presented in this paper, which is designed in MATLAB and Simulink to control the torque of the engine. The required torque and the SOC(state of charge) of the battery and UC (ultracapacitor) are used as the inputs of the EMS. The EMS is mainly consisted of two FLCs(fuzzy logic controller), which are switched according to the SOC of the UC...
Vehicle emission reduction has been a research objective for many years, by improving fuel economy and energy efficiency. Therefore, this paper presents a fuzzy logic controller for a Parallel Hybrid Electric Vehicle (PHEV). The PHEV required driving torque is generated by a combined contribution from an Internal Combustion Engine (ICE) and an Induction Motor (IM). The proposed Fuzzy Logic Controller...
Control strategy that determines the overall efficiency of hybrid system plays a centre role in hybrid electric vehicle (HEV). Utilizing fuzzy logic with quadratic programming, an optimal torque based fuzzy logic control strategy for parallel hybrid electric vehicle is built. The controller is designed based on battery state of charge, electric motor speed, and a relationship between the totally required...
In order to realize optimal distribution between two types of energy in HEV and assure the reasonable operation of motor and battery, an optimal method based on energy fuzzy control strategy is presented. The proposed energy fuzzy control strategy is modeled in Simulink and incorporated into the vehicle simulation software ADVISOR. Then, to the lack of the traditional method of getting membership...
CJY6470 parallel hybrid electric vehicle (CJY6470PHEV) is a light type off-road vehicle developed by the authors. Its energy management system (EMS) has been designed using the T-S fuzzy model and fuzzy control toolbox in MATLAB 6.5. In order to simplify the system, it is divided into the energy regenerative braking system (ERBS) and the EMS in the vehicle normally driving modes. As the relationship...
The economical and regulatory pressures place on the automotive industry to develop vehicles with increased fuel efficiency will continue to grow over the coming decade. Hybrid electric vehicles (HEVs) represent a solution which has received a large degree of interest from government, academia, and automotive manufacturers. This paper studies the potential of using a fuzzy logic controller to optimize...
This is the second part of the two-part paper to illustrate the control system design and multi-energy strategy, it is the key to fulfill the fuel economy target for ISG hybrid bus. Based on a hierarchical structure, the control system is developed with the HCU (hybrid control unit) as the central controller to coordinate the motor, engine and CAN communication protocol. The multi-energy control strategy...
In order to increase the fuel economy and decrease the emissions of hybrid vehicles, firstly a fuzzy logic control system is presented in this paper. In parallel hybrid vehicles, the whole required torque comes from internal combustion engine and motor engine respectively. Based on the desired torque for driving and state of charge, the fuzzy logic control system determines how the power splits between...
One of the advantages of using electric vehicles (EVs) and hybrid electric vehicles (HEVs) is recovering energy through vehiclepsilas braking regeneration. In this paper, a regenerative braking control strategy for a fuel cell hybrid vehicular power system has been presented based on fuzzy logic. Fuel cell output power is determined according to the driving load requirement and the battery SOC, using...
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