Optimized Control of Energy Flow in an Electric Vehicle based on GPS
Presented paper deals with energy flow control of an electric vehicle with multiple energy storages. For efficiency control of energy flow is necessary to know the traction profile of the route. The Global Positioning System is used for observation of the traction profile. The first of the proposed...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Žilina
2021-01-01
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| Series: | Communications |
| Subjects: | |
| Online Access: | https://komunikacie.uniza.sk/artkey/csl-202101-0011_optimized-control-of-energy-flow-in-an-electric-vehicle-based-on-gps.php |
| _version_ | 1827967081734209536 |
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| author | Matúš Danko Branislav Hanko Peter Drgoňa |
| author_facet | Matúš Danko Branislav Hanko Peter Drgoňa |
| author_sort | Matúš Danko |
| collection | DOAJ |
| description | Presented paper deals with energy flow control of an electric vehicle with multiple energy storages. For efficiency control of energy flow is necessary to know the traction profile of the route. The Global Positioning System is used for observation of the traction profile. The first of the proposed algorithms uses the whole traction profile of a predetermined route, so the control algorithm can determine when the use of energy of the secondary energy storage is useful. The second proposed algorithm uses the GPS to determine the traction profile from routes stored in memory. If the route is not predetermined, or found in the memory of stored routes, the last algorithm controls the energy flow, based on the current of the primary energy storage. For verification of the proposed algorithm for control of the DC/DC converter, motor with inverter was replaced by the programmable power supply and programmable electronic load. The final evaluation shows that the proposed algorithm with the predetermined route saves about 5% more energy than the basic algorithm based on the battery current. |
| first_indexed | 2024-04-09T18:00:55Z |
| format | Article |
| id | doaj.art-171f85a9edff43469bc049d49beeeb6b |
| institution | Directory Open Access Journal |
| issn | 1335-4205 2585-7878 |
| language | English |
| last_indexed | 2024-04-09T18:00:55Z |
| publishDate | 2021-01-01 |
| publisher | University of Žilina |
| record_format | Article |
| series | Communications |
| spelling | doaj.art-171f85a9edff43469bc049d49beeeb6b2023-04-14T06:32:11ZengUniversity of ŽilinaCommunications1335-42052585-78782021-01-01231C7C1410.26552/com.C.2021.1.C7-C14csl-202101-0011Optimized Control of Energy Flow in an Electric Vehicle based on GPSMatúš Danko0Branislav Hanko1Peter Drgoňa2Mechatronics and Electronics, University of Zilina, Zilina, SlovakiaMechatronics and Electronics, University of Zilina, Zilina, SlovakiaMechatronics and Electronics, University of Zilina, Zilina, SlovakiaPresented paper deals with energy flow control of an electric vehicle with multiple energy storages. For efficiency control of energy flow is necessary to know the traction profile of the route. The Global Positioning System is used for observation of the traction profile. The first of the proposed algorithms uses the whole traction profile of a predetermined route, so the control algorithm can determine when the use of energy of the secondary energy storage is useful. The second proposed algorithm uses the GPS to determine the traction profile from routes stored in memory. If the route is not predetermined, or found in the memory of stored routes, the last algorithm controls the energy flow, based on the current of the primary energy storage. For verification of the proposed algorithm for control of the DC/DC converter, motor with inverter was replaced by the programmable power supply and programmable electronic load. The final evaluation shows that the proposed algorithm with the predetermined route saves about 5% more energy than the basic algorithm based on the battery current.https://komunikacie.uniza.sk/artkey/csl-202101-0011_optimized-control-of-energy-flow-in-an-electric-vehicle-based-on-gps.phpelectric vehicleenergy flowmultiple energy storagesgps |
| spellingShingle | Matúš Danko Branislav Hanko Peter Drgoňa Optimized Control of Energy Flow in an Electric Vehicle based on GPS Communications electric vehicle energy flow multiple energy storages gps |
| title | Optimized Control of Energy Flow in an Electric Vehicle based on GPS |
| title_full | Optimized Control of Energy Flow in an Electric Vehicle based on GPS |
| title_fullStr | Optimized Control of Energy Flow in an Electric Vehicle based on GPS |
| title_full_unstemmed | Optimized Control of Energy Flow in an Electric Vehicle based on GPS |
| title_short | Optimized Control of Energy Flow in an Electric Vehicle based on GPS |
| title_sort | optimized control of energy flow in an electric vehicle based on gps |
| topic | electric vehicle energy flow multiple energy storages gps |
| url | https://komunikacie.uniza.sk/artkey/csl-202101-0011_optimized-control-of-energy-flow-in-an-electric-vehicle-based-on-gps.php |
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