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About
This dataset contains detailed technical specifications and environmental performance data for electric vehicles from various brands and models. It is designed to support research and development of machine learning models, statistical analysis, and comparisons related to electric vehicle (EV) features, efficiency, and sustainability.
Dataset Features:
- V_ID: Unique identifier for Vehicle row.
- Constructor: The manufacturer of the vehicle (e.g., HYUNDAI, RENAULT, BMW, FORD, JEEP, etc.).
- Veh_type: Vehicle type or series identifier.
- Version: Model version or variant identifier.
- Brand: The brand associated with the vehicle.
- Veh_Model: Specific model name of the vehicle (e.g., KONA, ZOE, 220i, etc.).
- Veh_Category: Vehicle classification (e.g., M1 - Passenger cars).
- Kg_veh: Vehicle's weight in kilograms.
- Test_mass: Testing mass used for certification.
- CO2_wltp: Carbon dioxide emissions measured by the Worldwide Harmonised Light Vehicles Test Procedure (WLTP).
- Wheelbase_mm: Distance between the front and rear axles, measured in millimetres.
- Axle_width_steer_mm: Steering axle width in millimetres.
- Axle_width_other_mm: Rear axle width in millimetres.
- Energy: Type of energy or powertrain (e.g., electric).
- Engine_cm3: Engine displacement in cubic centimetres (for vehicles with internal combustion engines; typically 0 for electric vehicles).
- Power_KW: Engine or motor power in kilowatts.
- El_Consumpt_whkm: Electric energy consumption in watt-hours per kilometre.
- Year: Year of vehicle production or model release.
- Fuel consumption: Fuel consumption, is typically 0 for electric vehicles.
- Electric range (km): Estimated range of the vehicle on a full charge, measured in kilometres.
- Eco-innovation program: Indicates whether the vehicle participates in eco-innovation programs (binary: 0 or 1).
- Em_on_target: Indicates whether the vehicle meets emission targets (binary: 0 or 1).
Usage:
This dataset is ideal for:
- Machine Learning Applications: Training and testing predictive models for electric vehicle classification, range estimation, or emission compliance.
- Feature Analysis: Exploring the relationships between vehicle specifications and environmental performance.
- Market Comparison: Comparing EV performance across brands and models.
- Sustainability Research: Investigating factors contributing to energy efficiency and emission targets in EVs.
Coverage:
The dataset includes a wide range of electric vehicle brands and models from 2019, offering a comprehensive view of their technical and environmental characteristics.
License:
CC0 (Public Domain)
Who Can Use It:
This dataset is intended for automotive researchers, data scientists, machine learning practitioners, environmental analysts, and students interested in electric vehicle technology and sustainability.
How to Use It:
- Develop models to predict vehicle range or energy consumption.
- Analyse the impact of vehicle specifications on emissions and efficiency.
- Conduct brand or model-level comparisons of EV performance.
- Benchmark algorithms for clustering or classification of vehicles based on their technical features.
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