Simscape Modelling and Analysis of Photovoltaic Modules with Boost Converter for Solar Electric Vehicles

Abstract Electric vehicles are the future of mobility solutions. The electric vehicles are driven by an electric motor with the help of a power electronic interface. The power electronic interface needs to be designed in an efficient way both in mechanical and electrical aspects. This paper proposes the concept of design, simulation and analysis of a 10 kW Multi-Device Interleaved DC-DC Boost Converter (MDIBC) to drive a 4 kW Induction Motor. The motor is driven from the MDIBC through an inverter with SPWM technique. The variation in DC link voltage due to motor is controlled and stabilized to give a constant DC of 400 V. MDIBC consists of semi-controlled switches topology excited by Phase Shifted PWM technique to reduce the ripple current in interleaving inductors. The dual loop control methodology using PI controller is adopted to reduce the ripple in input inductor current and DC link voltage. The open loop simulation and closed loop simulation are done in MATLAB Simulink environment. The simulation results show that the overshoots and steady state error in inductor currents and output voltage are reduced in addition with reduction in current and voltage ripples.

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PI controlled Bi-directional DC-DC converter (BDDDC) and highly efficient boost converter for electric vehicles

2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT) ◽

10.1109/ceeict.2016.7873094 ◽

2016 ◽

Cited By ~ 2

Author(s):

Remon Das ◽

Md. Ashraf UddinChowdhury

Keyword(s):

Electric Vehicles ◽

Boost Converter ◽

Highly Efficient

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High Step-Up Boost Converter with Neural Network Based MPPT Controller for a PEMFC Power Source Used in Vehicular Applications

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2018-0015 ◽

2018 ◽

Vol 19 (5) ◽

Cited By ~ 2

Author(s):

K. Jyotheeswara Reddy ◽

N. Sudhakar ◽

S. Saravanan ◽

B. Chitti Babu

Keyword(s):

Neural Network ◽

Fuel Cell ◽

Electric Vehicles ◽

High Voltage ◽

Boost Converter ◽

Maximum Power ◽

Switching Frequency ◽

Voltage Gain ◽

High Voltage Gain ◽

Mppt Controller

AbstractHigh switching frequency and high voltage gain DC-DC boost converters are required for electric vehicles. In this paper, a new high step-up boost converter (HSBC) is designed for fuel cell electric vehicles (FCEV) applications. The designed converter provides the better high voltage gain compared to conventional boost converter and also reduces the input current ripples and voltage stress on power semiconductor switches. In addition to this, a neural network based maximum power point tracking (MPPT) controller is designed for the 1.26 kW proton exchange membrane fuel cell (PEMFC). Radial basis function network (RBFN) algorithm is used in the neural network controller to extract the maximum power from PEMFC at different temperature conditions. The performance analysis of the designed MPPT controller is analyzed and compared with a fuzzy logic controller (FLC) in MATLAB/Simulink environment.

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