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Energy flow control of electric vehicle based on GNSS

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Abstract

In this paper, a system for controlling the energy flow of vehicle with multiple energy storages which are used for increasing performance and driving range is presented. For achieving maximal performance and efficiency of energy flow control, traction profile of the route is necessarily known. For observation of a traction profile, Global Navigation Satellite System is used. For energy flow control, three algorithms are presented. The first proposed algorithm uses the whole traction profile of a predetermined route by the driver so the control algorithm can decide the energy of the second energy storage efficient. The second algorithm eliminates the biggest disadvantage of predetermining route, so the algorithm uses traction profile from the memory of stored routes where the vehicle was already driven. If the route was not defined or found in memory energy of secondary energy storage, (supercapacitor) using will be based on the current of primary energy storage (batteries). For verification of proposal algorithms for control of DC/DC converter which is used for energy flow control, inverter and motor were simulated with programmable load and programmable power supply.

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Acknowledgments

This research was funded by a Grant APVV-15-0571: Research of the optimum energy flow control in the electric vehicle system, APVV-17-0218: Investigation of biological tissues with electromagnetic field interaction and its application in the development of new procedures in the design of electrosurgical instruments and operational program integrated infrastructure 2014-2020 of the project: Innovative solutions for Propulsion, Power and Safety Components of Transport Vehicles, code ITMS 313011V334, co-financed by the European Regional development Fund.

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  1. Department of Mechatronics and Electronics, Faculty of Electrical Engineering, University of Zilina, Univerzitná 1, 01026, Žilina, Slovakia

    Matus Danko, Branislav Hanko, Peter Drgona & Ondrej Hock

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  1. Matus Danko
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  2. Branislav Hanko
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  3. Peter Drgona
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  4. Ondrej Hock
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Correspondence to Matus Danko.

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Danko, M., Hanko, B., Drgona, P. et al. Energy flow control of electric vehicle based on GNSS. Electr Eng 104, 155–163 (2022). https://doi.org/10.1007/s00202-021-01272-y

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