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The Energy Assist for the Electric Car Edison

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Current Methods of Construction Design

Abstract

One of the biggest barriers to the development of electromobility is the fear of people, because electric car has a significantly shorter range than conventional car. In modern electric cars to reduce electricity consumption and the range, complex technologies are used as energy assist. The intelligent energy assist role is to optimize the way of driving to minimize energy consumption by means of video and audio communications with the driver. The energy assist is not only predicting the range calculated from the difference between the received and consumed energy. Energy assist controls, manages, updates, and communicates with the electric car driver. It even foresees a compromised run to the nearest charger, so the driver warns and proposes austerity measures. Energy assist performs the tasks before driving, and then throughout the drive to the charging station. The aim of our research and development is the energy assist of the electric car driver. Modern components in the Edison electric car, built at the Department of Design and Mechanical Elements, enable the collection of a wide range of data, allow for changing set parameters, monitor their impact on energy consumption and measurements on the roller dynamometer, and verify the change of parameters on the road in various driving and climatic conditions.

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References

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Acknowledgement

This publication is the result of the Project implementation: Competency Center for Knowledge technologies applied in Innovation of Production Systems in Industry and Services, ITMS: 26220220155, supported by the Research & Development Operational Programme funded by the ERDF.

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Correspondence to Igor Gajdáč .

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Gajdáč, I., Gajdošík, T., Šteininger, J. (2020). The Energy Assist for the Electric Car Edison. In: Medvecký, Š., Hrček, S., Kohár, R., Brumerčík, F., Konstantová, V. (eds) Current Methods of Construction Design. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-33146-7_29

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  • DOI: https://doi.org/10.1007/978-3-030-33146-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33145-0

  • Online ISBN: 978-3-030-33146-7

  • eBook Packages: EngineeringEngineering (R0)

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