Advancing digital twin implementation: a toolbox for modelling and simulation
Soumya Singh, Max Weeber, Kai-Peter Birke
Abstract
The concept of Digital Twin is becoming increasingly relevant for the realization of Industry 4.0. Digital Twin has the capability to optimize the product lifecycle stages and support the industries for intelligent decision-making and cost-effective business solutions. As a trending topic, a wide range of literature and a number of implementation approaches have been designed and developed. However, most of the existing implementations do not fully meet the scope and requirements defined for a digital twin, mainly due to lack of consensus about the properties of a digital twin and its corresponding components. To fill this gap, this paper presents a toolbox for realizing a Digital Twin in domain-specific applications by enhancing the associated modelling and simulation practices. The approach is illustrated by implementing the digital twin of a battery system in a robotic minicar.