Architecture Documentation

General structure of the framework

The figure below shows the detailed VencoPy components in a developer diagram. The four components - implemented as Python classes - DataParser, TripDiaryBuilder, GridModeler and FlexEstimator can be clearly distinguished. A fifth component, Evaluator, used to create the plots for this work is not shown in the figure as it is not needed to calculate results from VencoPy. A brief description of the classes is presented below. For a more detailed algebraic description of the tool please refer to the Publications section.


Quality values

Quality values

Value priority


  1. Learnability

The highest priority of VencoPy is to provide an easy-to-apply tool for scientists (not primarily developers) to estimate electric vehicle fleets’ load shifting potential. Hence, easy to understand approaches, code structures and explicit formulations are favored.

  1. Readability

The readability of the code, especially the linear flow structure of the main VencoPy file should be preserved. Source code and equations should be easy to read and understand. Splitting of statements is favored over convoluted one-liners. Significant learnability improvements (e.g. through an additional library), may motivate a deviation from this principle.

  1. Reproducibility

The model has to be deterministic and reproducible both on the scientific and on the technical level. Hence, all example and test artifacts have to be part of the git repository. Source code revisions should be used to reference reproducible states of the source code.

  1. Reliability

The software has to operate without crashes and should terminate early, if scientific requirements are not met. Testing and asserting expectations in code is encouraged. However, in its alpha-version no special error catching routines are implemented.


Performance is not a high priority, since runtimes are quite quick. However, basic performance considerations like efficient formulation and application of libraries and algorithms should be considered.

Organizational information




Software Engineering Team (SET)

Niklas Wulff, Fabia Miorelli, Benjamin Fuchs


Hans Christian Gils, Department of Energy Systems Analysis at Institute of Networked Energy Systems, DLR


Alpha release in Q4 2020, Beta release in Q3 2021, for further releases planned, see Release Timeline

Open source ready

Features, dependencies and components which are contraindicative or at odds with an open source publication should not be used

Development tools

Source code and all artefacts are located in the DLR GITLAB repository for VencoPy including the software documentation. For development, the PyCharm community edition IDE and gitbash are used. For graphical depictions of software components and similar documentation is used.