Smart Procurement Of Naturally Generated Energy (SPONGE) for PHEV's

TL;DR

This paper introduces a novel engine management system for PHEVs that uses energy forecasts and cooperative algorithms to optimize energy absorption, supported by simulations demonstrating its effectiveness.

Contribution

It presents a new collaborative engine management approach for PHEVs that leverages energy forecasts to improve energy absorption efficiency.

Findings

Simulations show improved energy absorption with the proposed system.

Cooperative algorithms effectively coordinate multiple vehicles.

The approach enhances energy management in hybrid vehicles.

Abstract

In this paper we propose a new engine management system for hybrid vehicles to enable energy providers and car manufacturers to provide new services. Energy forecasts are used to collaboratively orchestrate the behaviour of engine management systems of a fleet of PHEV's to absorb oncoming energy in an smart manner. Cooperative algorithms are suggested to manage the energy absorption in an optimal manner for a fleet of vehicles, and the mobility simulator SUMO is used to show simple simulations to support the efficacy of the proposed idea.