Scinovex
article Open Access

Intelligent controller based power management system in hybrid energy fed electric vehicle

Abstract

Nowadays, more than one power source is needed to fulfil the power demand for electric vehicles. The multiple sources enhance reliability regarding the cruising range and decrease the charging cost. However, the inclusion of multi-sources generally gives rise to issues in the controller unit, such as slow response due to the immediate changes in load and power conversion complexity while switching the sources. This paper presents a novel intelligent control scheme based on fuzzy logic to mitigate this issue. The proposed controller includes a solar panel, a fuel cell, and a battery as input source. In this work, to examine the instantaneous reference currents from the sources and to manage power for the electric vehicle motor, a permanent magnet synchronous machine (PMSM) is considered. The proposed controller performs real-time power management, Maximum Power Point Tracking (MPPT) for the PV system, and load calculations based on vehicle dynamics.

Electric and Hybrid Vehicle TechnologiesAdvanced Battery Technologies ResearchAdvanced DC-DC ConvertersEnergy managementElectric vehiclePower managementEnergy management systemController (irrigation)Hybrid powerAutomotive engineeringElectric energyElectric powerPower (physics)
Citations
1
FWCI
0.20
field-weighted impact
References
0
Percentile
48%
vs. same field & year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.