Work

A Domain-Specific Modeling Language for Electric Vehicle Batteries

Year: 2015

Type: article

Abstract: . Electric vehicle batteries (EVBs) are crucial components of electric vehicles (EVs). They also account for a major share of the initial prices of EVs, inhibiting the diffusion of green mobility solutions. After having been removed from the vehicles due to an increased internal resistance or an insufficient ca-pacity to store energy, EVBs may be recycled, refabricated, or reused to comply with legal regulations and to generate additional business returns. Making an in-formed decision on the further application of a used EVB presupposes in-depth product data, operating instructions, and status data on the battery. In this paper, a domain-specific modeling language is designed to specify the data structures required to describe EVBs. In the spirit of design research, the modeling lan-guage’s validity and utility are demonstrated by modeling a typical EVB. In fu-ture research, the modeling language’s meta-model can be extended and made configurable to inform various afterlife scenarios.

Source: Journal of the Association for Information Systems

Authors: Benjamin Klör, Sebastian Bräuer, Daniel Beverungen, Markus Monhof

Institution: University of Münster

Language: English

Topic: Model-Driven Software Engineering Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

Funders: Bundesministerium für Bildung und Forschung, Westfälische Wilhelms-Universität Münster

Award: Verbundprojekt: End-Of-Life Solutions für eCar-Batterien: Entwicklung hybrider Leistungsbündel und Informationssysteme zur Entscheidungsunterstützung (EOL-IS), Teilvorhaben Spezifikation und Konfiguration der Leistungsbündel zur Nachnutzung und Recycling