Fuzzy logic-based reactive power control for power factor enhancement in EV drives
Harshit Mohan, Arvind Kumar, Nitin Kumar Saxena, Shashank Mishra, Pavan Khetrapal, Brian Azzopardi, Vibhu Jately
TL;DR
This paper introduces a fuzzy logic-based method to improve power factor in electric vehicle motor drives, making them more energy efficient.
Contribution
A novel fuzzy logic approach for reactive power control in EV drives is proposed, eliminating complex flux estimators.
Findings
The fuzzy logic method significantly improves power factor across various EV drive cycles.
Simulations and experiments on a 0.75 kW motor show better performance compared to traditional FOC.
The method simplifies control by removing the need for flux estimators and observers.
Abstract
Induction motors (IM) find broad applications in various Electric Vehicle (EV) drives because of their numerous advantages. The speed control of these EV motor drives is realized through different speed control algorithms such as direct torque control (DTC), field-oriented control (FOC), direct power control (DPC) etc. However, energy efficient control for these drives is still supplementary, especially in EV’s where drive cycle is irregular. This article contributes a fuzzy logic based reactive power control of IM drive for power factor enhancement, where the flow of reactive power is governed by reference speed and torque commands using fuzzy logic. The proposed methodology eliminates the necessity for integrating complicated flux estimators & observers and significantly improves power factor across a broad spectrum of EV drive cycle. To evaluate the performance and the effectiveness…
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Taxonomy
TopicsSensorless Control of Electric Motors · Multilevel Inverters and Converters · Electric and Hybrid Vehicle Technologies