Artificial Intelligence Controlling Chopper Operation of Four Quadrants Drive DC Chopper for Low Cost Electric Vehicle

Arof, Saharul; Kadir, Muhd Khairulzaman Abdul; Jalil, J. A.; Mawby, P.A.

doi:10.5013/ijssst.a.16.04.03

Cited by 5 publications

(3 citation statements)

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“…It depends on both the propulsion motor's power and the FQDC controller to become ready for this test. Artificial intelligence (AI) tools like neural networks, fuzzy logic, self-tuning fuzzy logic, expert system [5], and ANFIS can be used to manage FQDC activities [3,4]. For the sake of simplicity, the expert system with If then rules is employed in this paper.…”

Section: Figure 1 the Speed Acceleration And Deceleration Of The Veh...mentioning

confidence: 99%

“…2 after the precise parameters have been selected. The test will not only assess the propulsion motor's ability to propel the electric vehicle (EV) under load, but it will also assess how well motor torque [2], voltage, and current can be controlled by a closed-loop feedback system, such as a PID controller [3,4] or the proposed four-quadrant DC chopper controller. The physics-based models are composed of a series of mathematical equations based on linear differential equations that are utilised as simulation models because they can run more quickly and for longer periods of time before failing due to "out of memory" .However, this research does not go into specifics of the mathematical equations used in the simulation model.…”

Section: Figure 1 the Speed Acceleration And Deceleration Of The Veh...mentioning

confidence: 99%

“…By adding more chopper operations [1] and enabling motor reverse action, new four quadrants dc chopper(FQDC) [1] for series motor is suitable for newly developed DC brushed motor, which has high power output (55 kW), high efficiency (92%) and low operating voltage (13 V). An in-depth analysis of the chopper on simulation model development [2], Controlling chopper operation [3][4][5] according to earth terrain and under specifics requirements such state of charge (SOC) was done using expert systems [4], adaptive neuro fuzzy inference system (ANFIS). A New European Driving Cycle (NEDC) [5][6][7][8] test for testing vehicle performance and emission which is part of the requirement of commercial vehicle can be extended to Electric Vehicle.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Series Motor Four Quadrants DC Chopper For DC Drive Electric Vehicle Driving Cycle Test

Hazrimy,

Arof,

Mawby

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The most common need for electric car is to be able to carry a maximum load of 850-1300 kg. The expected maximum speed of the electric vehicle (EC) is about at 110-120 km/h and the acceleration is for 60Km/h in less than 10 seconds. To determine whether the DC Drive EV performance is up to a standard requirement for the end user’s such as maximum speed, cruising speed, acceleration, deceleration, stability, safety, etc., an EV’s full design must go through some sort of testing. This study examined the use of a series motor and a four-quadrant DC chopper (FQDC) for typical driving cycle tests like the New European Driving Cycle to test these special requirements of a DC drive electric automobile (NEDC). Using Matlab/Simulink software and vehicle dynamics equations, a simulation model of the DC Drive EV is created in order to examine and investigate the performance under the NEDC test applied to the FQDC in order to make sure that it complies with the NEDC requirements. From the test findings, it can be inferred that the FQDC is capable of meeting all NEDC standards.

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Section: Figure 1 the Speed Acceleration And Deceleration Of The Veh...mentioning

confidence: 99%

Section: Figure 1 the Speed Acceleration And Deceleration Of The Veh...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Series Motor Four Quadrants DC Chopper For DC Drive Electric Vehicle Driving Cycle Test

Hazrimy,

Arof,

Mawby

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

Processor in the Loop for Testing Series Motor Four Quadrants Drive Direct Current Chopper for Series Motor Driven Electric Car

Arof

Diyanah

Yaakop

et al. 2019

Advanced Structured Materials

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Series Motor Four-Quadrant Direct Current Chopper: Reverse Mode, Steering Position Control with Double-Circle Path Tracking and Control for Autonomous Reverse Parking of Direct Current Drive Electric Car

Arof

Said

Diyanah

et al. 2020

Advanced Structured Materials

View full text Add to dashboard Cite

Artificial Intelligence Controlling Chopper Operation of Four Quadrants Drive DC Chopper for Low Cost Electric Vehicle

Cited by 5 publications

References 0 publications

Series Motor Four Quadrants DC Chopper For DC Drive Electric Vehicle Driving Cycle Test

Series Motor Four Quadrants DC Chopper For DC Drive Electric Vehicle Driving Cycle Test

Processor in the Loop for Testing Series Motor Four Quadrants Drive Direct Current Chopper for Series Motor Driven Electric Car

Series Motor Four-Quadrant Direct Current Chopper: Reverse Mode, Steering Position Control with Double-Circle Path Tracking and Control for Autonomous Reverse Parking of Direct Current Drive Electric Car

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