EV Fleet Emissions Tracking Log
This dataset provides detailed logs for tracking carbon emissions, energy consumption, and operational efficiency of electric vehicle fleets. It includes vehicle, fleet, route, charging, and environmental context, enabling sustainability teams to optimize fleet operations, reduce environmental impact, and support ESG and regulatory reporting. The dataset is ideal for granular analysis of fleet sustainability performance.
Sample rows
preview · 8 of 120 rows · all 19 columns| log_idstring | charging_sourcestring | energy_efficiency_km_per_kwhfloat | charging_location_countrystring | vehicle_idstring | fleet_idstring | vehicle_typestring | operation_datedate | distance_travelled_kmfloat | energy_consumed_kwhfloat | carbon_emissions_kgfloat | charging_location_streetstring | charging_location_citystring | charging_location_statestring | charging_location_postal_codestring | route_idstring | driver_idstring | weather_conditionsstring | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LOG0001 | grid | 6.14 | USA | VEH-101 | FLEET-A | Tesla Model 3 | 2022-03-18 | 135.7 | 22.1 | 13.8 | 1254 Maple Ave | Dallas | TX | 75201 | TX-205 | DRV101 | clear | Standard commute, no delays. Eco-routing enabled. |
| LOG0002 | hydro | 5.84 | France | VEH-102 | FLEET-B | Renault Zoe | 2023-09-14 | 305.2 | 52.3 | 32.2 | 18 Rue Lafayette | Paris | Paris | 75009 | FR-09 | DRV102 | rain | Intercity trip. Rain increased consumption during second segment. |
| LOG0003 | grid | 3.35 | Germany | VEH-103 | FLEET-C | Volkswagen ID.4 | 2024-01-22 | 17.4 | 5.2 | 2.5 | Müllerstrasse 21 | Berlin | Berlin | 13353 | DE-07 | DRV103 | snow | Short urban trip. Snow caused additional energy consumption. |
| LOG0004 | solar | 5.33 | USA | VEH-104 | FLEET-A | Chevy Bolt EV | 2022-10-08 | 87.9 | 16.5 | 10.2 | 2332 Orange Blvd | Orlando | FL | 32801 | FL-01 | DRV104 | clear | Solar charging, routine delivery. No issues reported. |
| LOG0005 | solar | 19.29 | China | VEH-105 | FLEET-Z | XPeng G3 | 2023-05-06 | 802.5 | 41.6 | 18.9 | No.88 Jianshe Rd | Guangzhou | Guangdong | 510000 | CN-88 | DRV999 | smog | Experimental high-efficiency run. Smog present throughout route. |
| LOG0006 | wind | 6.22 | UK | VEH-106 | FLEET-D | Jaguar I-PACE | 2023-12-27 | 255.6 | 41.1 | 25 | 7 Windmill Lane | Leeds | West Yorkshire | LS1 8EQ | UK-05 | DRV106 | windy | Windy conditions during trip. Used wind-powered charging station. |
| LOG0007 | grid | 5.57 | USA | VEH-107 | FLEET-B | Tesla Model Y | 2022-08-30 | 42.3 | 7.6 | 4.8 | 8900 Sunset Blvd | Los Angeles | CA | 90069 | CA-33 | DRV107 | fog | Minor delays due to early morning fog. Routine route. |
| LOG0008 | solar | 18.83 | Netherlands | VEH-108 | FLEET-Y | Lightyear 0 | 2023-04-16 | 158.2 | 8.4 | 4.2 | Stationsplein 2 | Amsterdam | Noord-Holland | 1012 AB | NL-02 | DRV108 | clear | Solar-assisted trip. High efficiency observed. Test drive event. |
| LOG0009 | grid | 5.63 | USA | VEH-109 | FLEET-E | Nissan Leaf | 2022-11-15 | 28.7 | 5.1 | 3.1 | 421 Pine St | Seattle | WA | 98101 | WA-14 | DRV109 | rain | Short trip, rainy weather. Traffic increased energy usage. |
| LOG0010 | wind | 6.4 | Austria | VEH-110 | FLEET-G | Mercedes EQC | 2023-07-23 | 400.1 | 62.5 | 36.4 | Ringstrasse 45 | Vienna | Vienna | 1010 | AT-45 | DRV110 | clear | Long-distance trip across Austria. Wind energy used for charging. |
| LOG0011 | other | 3.63 | Italy | VEH-111 | FLEET-F | Fiat 500e | 2024-02-09 | 13.8 | 3.8 | 1.7 | Via Roma 80 | Rome | Lazio | 00184 | IT-14 | DRV111 | rain | Short trip, heavy traffic. Used third-party charging provider. |
| LOG0012 | grid | 3.61 | France | VEH-112 | FLEET-H | Peugeot e-208 | 2023-02-20 | 24.2 | 6.7 | 3.9 | 23 Boulevard Victor | Paris | Paris | 75015 | FR-15 | DRV112 | fog | Congestion due to city event. Fog reduced efficiency. |
| LOG0013 | grid | 5.38 | USA | VEH-113 | FLEET-E | Tesla Model S | 2022-05-03 | 58.6 | 10.9 | 6.5 | 525 Market St | San Francisco | CA | 94105 | CA-05 | DRV113 | clear | Routine business trip. No delays or incidents. |
| LOG0014 | grid | 6.4 | USA | VEH-114 | FLEET-A | Nissan Leaf | 2023-06-29 | 395.3 | 61.8 | 35.1 | 1600 Pennsylvania Ave | Washington | DC | 20500 | DC-01 | DRV114 | clear | Long trip, high traffic. Route was mostly clear. |
| LOG0015 | solar | 17.06 | USA | VEH-115 | FLEET-Y | Lucid Air | 2022-12-19 | 1243.6 | 72.9 | 39.7 | 456 Innovation Dr | Phoenix | AZ | 85004 | AZ-10 | DRV115 | clear | Stress test for maximum range. Solar charging at endpoint. |
| LOG0016 | other | 3.86 | France | VEH-116 | FLEET-C | Peugeot e-208 | 2023-03-14 | 16.2 | 4.2 | 2.7 | 1 Place Bellecour | Lyon | Auvergne-Rhône-Alpes | 69002 | FR-02 | DRV116 | rain | Short trip, used non-standard charging at destination. |
| LOG0017 | grid | 6.57 | USA | VEH-117 | FLEET-B | Tesla Model Y | 2023-10-02 | 299.5 | 45.6 | 27.4 | 201 W North Ave | Chicago | IL | 60610 | IL-11 | DRV117 | clear | Routine delivery, no delays. Grid charging at origin. |
| LOG0018 | hydro | 4.99 | Switzerland | VEH-118 | FLEET-D | Jaguar I-PACE | 2024-03-11 | 68.9 | 13.8 | 7.6 | Bahnhofstrasse 1 | Zurich | Zurich | 8001 | CH-01 | DRV118 | rain | Hydro-charged trip, moderate rain caused slight delays. |
| LOG0019 | grid | 5.96 | USA | VEH-119 | FLEET-E | Chevy Bolt EV | 2023-07-18 | 33.4 | 5.6 | 3.5 | 350 E Main St | Lexington | KY | 40507 | KY-09 | DRV119 | clear | Standard trip, no issues. |
| LOG0020 | blank | blank | blank | VEH-120 | FLEET-A | Tesla Model S | 2022-06-15 | 0 | 0 | 0 | blank | blank | blank | blank | blank | DRV120 | blank | Vehicle in scheduled maintenance. No operation recorded. |
What the 120 rows show
from the 120-row sampleSolar (charging source) stands out: mean energy_
- 5.8median energy_
efficiency_ km_ per_ kwh - 6weather conditionses
- 10fleets
- 18vehicle types
- 82.1median distance_
travelled_ km - 11.2median energy_
consumed_ kwh
Median 5.8, from 2.5 to 20.8.
- string 14
- float 4
- date 1
Columns
19 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 14 columns | |||
log_id | string | Unique identifier for each emissions tracking log entryunique | LOG0001 |
vehicle_id | string | Unique identifier for the electric vehicle | VEH-101 |
fleet_id | string | Identifier for the fleet to which the vehicle belongs10 fleets | FLEET-A |
vehicle_type | string | Type or model of the electric vehicle | Tesla Model 3 |
charging_source | string | Type of energy source used for charging (e.g., grid, solar, wind)grid · solar · wind · hydro · other · optional | grid |
charging_location_street | string | Street address of the charging locationoptional | 1254 Maple Ave |
charging_location_city | string | City of the charging locationoptional | Dallas |
charging_location_state | string | State or region of the charging locationoptional | TX |
charging_location_postal_code | string | Postal code of the charging locationoptional | 75201 |
charging_location_country | string | Country of the charging location9 countries · optional | USA |
route_id | string | Identifier for the route taken during the operationoptional | TX-205 |
driver_id | string | Identifier for the driver operating the vehicleoptional | DRV101 |
weather_conditions | string | Summary of weather conditions during the operation (e.g., clear, rain, snow)6 conditionses · optional | clear |
notes | string | Additional notes or comments about the operation or emissions dataoptional | Standard commute, no dela… |
| Numbers 4 columns | |||
distance_travelled_km | float | Total distance travelled by the vehicle in kilometers during the logged period0 or more | 135.7 |
energy_consumed_kwh | float | Total energy consumed by the vehicle in kilowatt-hours during the logged period0 or more | 22.1 |
carbon_emissions_kg | float | Estimated carbon emissions in kilograms for the logged period0 or more | 13.8 |
energy_efficiency_km_per_kwh | float | Energy efficiency metric calculated as kilometers per kilowatt-hour0 or more · optional | 6.14 |
| Dates and times 1 column | |||
operation_date | date | Date when the vehicle operation and emission data was recorded | 2022-03-18 |
Use it for
A transportation dashboard
Energy_
efficiency_ km_ per_ kwh by charging_ source and a breakdown of charging_ location_ country. Excel, Power BI or Tableau. Why do the 27 solar rows have a mean energy_
efficiency_ km_ per_ kwh of 12.4? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Logs120LOG00016.14gridLOG00025.84hydroLOG00033.35grid
A software demo
Believable logs with vehicle_
id, fleet_ id and vehicle_ type to fill a screen in front of a buyer.
This dataset120 rows19 columns
Yours1,000 rows19 columnscharging_location_street: UK only
blueprint · ev-fleet-emissions-tracking-log
Behind this dataset
Same schema. As many rows as you need.
These 120 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
Rules it was built with
- Each vehicle entry must include daily mileage, energy source, and emission estimate.
- Charging events are logged with timestamp, location, and energy consumed.
- Abnormal emission spikes flagged for review by fleet manager.
- Energy source classification (renewable/nonrenewable) must be validated for each charging event.
- Fleet-wide summary calculated for total carbon output per week.
Open the blueprint in Data Factory
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- ev-fleet-emissions-tracking-log