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Evolving Controllers for Electric Vehicle Charging

  • Martin PilátEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10784)

Abstract

We describe an algorithm to design controllers for the charging of electric vehicles. The controller is represented as a neural network, whose weights are set by an evolutionary algorithm in order to minimize the changes in the overall electrical consumption. The presented algorithm provides de-centralized controllers that also respect the privacy of the owner of electric vehicles, i.e. the controller does not share the information about charging with any third party. The presented controllers also require only a very small amount of memory and computational resources and are thus suitable for implementation in embedded systems.

Keywords

Electric vehicle charging Evolutionary algorithm Neural network 

Notes

Acknowledgments

This work was supported by Czech Science Foundation project no. 17-10090Y.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Faculty of Mathematics and PhysicsCharles UniversityPragueCzech Republic

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