Using Weather Data for Improved Analysis of Vehicle Energy Efficiency
In moving vehicles, the dominating energy losses are due to interactions with the environment: air resistance and rolling resistance. It is known that weather has a significant impact, yet there is a lack of literature showing how the wealth of openly available data from professional weather observa...
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MDPI AG
2025-02-01
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| Series: | Data |
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| Online Access: | https://www.mdpi.com/2306-5729/10/3/31 |
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| author | Reno Filla |
| author_facet | Reno Filla |
| author_sort | Reno Filla |
| collection | DOAJ |
| description | In moving vehicles, the dominating energy losses are due to interactions with the environment: air resistance and rolling resistance. It is known that weather has a significant impact, yet there is a lack of literature showing how the wealth of openly available data from professional weather observations can be used in this context. This article will give an overview of how such data are structured and how they can be accessed in order to augment logs gained during vehicle operation or simulated trips. Two efficient algorithms for such data extraction and augmentation are discussed and several examples for use are provided, also demonstrating that some caveats do exist with respect to the source of weather data. |
| format | Article |
| id | doaj-art-f0f341ccfb9a4865b9b418c89c5ae47b |
| institution | Kabale University |
| issn | 2306-5729 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Data |
| spelling | doaj-art-f0f341ccfb9a4865b9b418c89c5ae47b2025-08-20T03:43:33ZengMDPI AGData2306-57292025-02-011033110.3390/data10030031Using Weather Data for Improved Analysis of Vehicle Energy EfficiencyReno Filla0Scania CV AB, Research & Development, Granparksvägen 10, 15148 Södertälje, SwedenIn moving vehicles, the dominating energy losses are due to interactions with the environment: air resistance and rolling resistance. It is known that weather has a significant impact, yet there is a lack of literature showing how the wealth of openly available data from professional weather observations can be used in this context. This article will give an overview of how such data are structured and how they can be accessed in order to augment logs gained during vehicle operation or simulated trips. Two efficient algorithms for such data extraction and augmentation are discussed and several examples for use are provided, also demonstrating that some caveats do exist with respect to the source of weather data.https://www.mdpi.com/2306-5729/10/3/31environmental lossesenergy lossestire lossesrolling resistanceair resistanceair drag |
| spellingShingle | Reno Filla Using Weather Data for Improved Analysis of Vehicle Energy Efficiency Data environmental losses energy losses tire losses rolling resistance air resistance air drag |
| title | Using Weather Data for Improved Analysis of Vehicle Energy Efficiency |
| title_full | Using Weather Data for Improved Analysis of Vehicle Energy Efficiency |
| title_fullStr | Using Weather Data for Improved Analysis of Vehicle Energy Efficiency |
| title_full_unstemmed | Using Weather Data for Improved Analysis of Vehicle Energy Efficiency |
| title_short | Using Weather Data for Improved Analysis of Vehicle Energy Efficiency |
| title_sort | using weather data for improved analysis of vehicle energy efficiency |
| topic | environmental losses energy losses tire losses rolling resistance air resistance air drag |
| url | https://www.mdpi.com/2306-5729/10/3/31 |
| work_keys_str_mv | AT renofilla usingweatherdataforimprovedanalysisofvehicleenergyefficiency |