Energy Management of Hybrid Energy Storage System in PHEV With Various Driving Mode

Mozhi, S. Arun; Raja, S. Charles; Saravanan, M.; Nesamalar, J. Jeslin Drusila

doi:10.1002/9781119682035.ch5

Cited by 2 publications

(1 citation statement)

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“…Thus, while considering a global view, dissimilar selections of PHEVs could be preferred, deliberated, and distinguished by their Energy Storage Systems (ESSs) [3]. The ultimate idea for PHEVs is to utilize their batteries as the energy storage system to increase the capability of the ESS and maintain a proper charging period [4,5]. The significance of PHEVs has been considered and assessed in terms of power semiconductor devices and their procedures for the grid side [6].…”

Section: Introductionmentioning

confidence: 99%

Bidirectional Converter for Plug-In Hybrid Electric Vehicle On-Board Battery Chargers with Hybrid Technique

Anjinappa

Prabhakar

Lai

2022

WEVJ

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Recently, Plug-in Hybrid Electric Vehicles (PHEVs) have gathered a lot of attention by integrating an electric motor with an Internal Combustion Engine (ICE) to minimize fuel consumption and greenhouse gas emissions. The On-Board Chargers (OBCs) are selected in this research because they are limited by dimensions and mass, and also consume low amounts of power. The Equivalent Series Resistance (ESR) of a filter capacitor is minor, so the zero produced by the ESR is positioned at a high frequency. In this state, the system magnitude gradually drops, causing a ripple in the circuit that generates a harmful impact on the battery’s stability. To improve the stability of the system, a Neural Network with an Improved Particle Swarm Optimization (NN–IPSO) control algorithm was developed. This study establishes an isolated converter topology for PHEVs to preserve battery-charging functions through a lesser number of power electronic devices over the existing topology. This isolated converter topology is controlled by NN–IPSO for the PHEV, which interfaces with the battery. The simulation results were validated in MATLAB, indicating that the proposed NN–IPSO-based isolated converter topology minimizes the Total Harmonic Distortion (THD) to 3.69% and the power losses to 0.047 KW, and increases the efficiency to 99.823%, which is much better than that of the existing Switched Reluctance Motor (SRM) power train topology.

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