A novel reference flux estimation technique for performance improvement of fuzzy DTC controlled IM drive in an electric vehicle using teamwork optimisation algorithm

ABSTRACT

The tailpipe emissions caused by the transportation sector are a significant contributor to greenhouse gases. Electric vehicles (EVs) are becoming more popular due to their environment friendly nature. An appropriate motor drive is essential for an efficient EV. Due to its numerous benefits, Direct Torque Control (DTC) is commonly utilised in EVs, yet its ripples and harmonics make it inefficient. This paper provides a dynamic stator reference flux estimation strategy for the Fuzzy Logic-based DTC to minimise torque ripples and improve performance. The Teamwork Optimisation Algorithm is integrated with the fuzzy DTC for optimal selection of the stator flux depending on the driving scenario to eliminate ripples. The simulated results demonstrate efficacy by minimising torque ripple, harmonics, and energy consumption. Using performance indices such as ISE, ITAE, and ITSE, the efficacy of the suggested strategy is validated. The dynamic behaviour is also examined using ECE, EUDC, and HWFET driving cycles, and an energy saving of 8% to 10% reduction in energy consumption is observed. The results also indicate a 49.92% and 27.97% improvement in torque ripple at low and high speeds, respectively.

KEYWORDS:

• Fuzzy logic control
• electric vehicle
• teamwork optimisation
• direct torque control
• torque ripple

Disclosure statement

No potential conflict of interest was reported by the author(s).