A multi-agent-based component control and energy management system for electric vehicles

• Ein Multiagenten-basiertes Komponentenregelungs- und Energiemanagementsystem für Elektrofahrzeuge

Isermann, Timo; Monti, Antonello (Thesis advisor); Sauer, Dirk Uwe (Thesis advisor)

1. Auflage. - Aachen : E.ON Energy Research Center, RWTH Aachen University (2016)
Dissertation / PhD Thesis

In: E.On Energy Research Center 39 : ACS, automation of complex power systems
Page(s)/Article-Nr.: 1 Online-Ressource (4 ungezählte Seiten, xii, 176 Seiten) : Illustrationen, Diagramme

Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2016

Abstract

This dissertation introduces a new approach to electric vehicle (EV) energy and power management as well as vehicle component control based on multi-agent technology to solve technologically and historically conditioned challenges of EVs by increasing their usability, flexibility, and resilience. Today’s EVs have reduced driving ranges and comfort fitments compared to similar combustion powered vehicles. Limited battery sizes and capacities, originating from the high costs of the battery system deployed, are mainly responsible for this. Moreover, current vehicles are based on complex, hard-wired automotive wire harnesses linking the different vehicle component controllers and sensors, also impeding the vehicle’s performance. Despite this, a system transition to EVs offers the unique opportunity for new and more flexible vehicle ICT. To overcome current limitations, first, a system level energy management system (EMS) based on state-of-the-art optimization technology is presented. Test results show that usability of EVs can be greatly enhanced by the use of this EMS. In a second step, custom-designed embedded agent controllers have been developed to extend the ICT’s flexibility, independently power, autonomously control, and collaboratively optimize EV components. Additionally, this concept’s potential has been evaluated by a Hardware in the Loop demonstrator.

Institutions

• Institute for Automation of Complex Power Systems [616310]
• E.ON Energy Research Center [080052]