EV-IoT Fleet Predictive Maintenance Dataset
收藏Zenodo2026-02-22 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.18730982
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Data Structure
Each row represents a 15-minute time interval with synchronized measurements across electrical, thermal, mechanical, environmental, usage, and operational dimensions.
A) Battery and Electrical State
battery_voltage_V — Instantaneous battery pack voltage (Volts).
battery_current_A — Pack current (Amperes); sign reflects charge/discharge state.
soc_pct — State of Charge (%).
soh_pct — State of Health (%), reflecting cumulative degradation.
internal_resistance_mOhm — Equivalent internal resistance (mΩ).
capacity_fade_rate_pct_per_cycle — Degradation rate per charge cycle (%).
charge_cycle_count — Accumulated full-equivalent charge cycles.
fast_charge_flag — Binary indicator of high-power charging events.
fast_charge_ratio_30d — Rolling 30-day proportion of fast-charging intervals.
B) Powertrain and Inverter Dynamics
motor_rpm — Motor rotational speed (RPM).
motor_torque_Nm — Motor torque output (Nm).
motor_temp_C — Motor temperature (°C).
vibration_index — Composite vibration severity indicator.
inverter_efficiency — Estimated inverter conversion efficiency (0–1).
power_loss_ratio — Fractional power loss within the inverter stage.
C) Thermal and Environmental Conditions
battery_temp_C — Battery pack temperature (°C).
ambient_temp_C — Surrounding environmental temperature (°C).
thermal_gradient_C — Absolute temperature difference between battery and ambient (°C).
cooling_system_load — Normalized cooling system demand (0–1).
overheat_event_flag — Binary indicator of elevated thermal excursion.
overheat_event_count_7d — Rolling 7-day count of overheating events.
D) Driving Behavior and Usage Patterns
vehicle_speed_kmh — Instantaneous vehicle speed (km/h).
acceleration_mps2 — Longitudinal acceleration (m/s²).
braking_intensity — Normalized braking severity (0–1).
trip_session_flag — Indicator of trip start intervals.
trip_distance_km_15min — Distance traveled within the 15-minute window (km).
urban_highway_ratio_7d — Rolling 7-day ratio of low-speed (urban) driving.
aggressive_driving_index_7d — Rolling 7-day proportion of high-acceleration or harsh-braking events.
E) Charging and Energy Context
charging_session_flag — Binary charging-state indicator.
charging_power_kW — Charging power (kW).
charging_duration_min_15min — Effective charging duration within interval (minutes).
charging_frequency_7d — Rolling 7-day count of charging intervals.
grid_stability_index — Normalized grid quality indicator (0–1).
renewable_share — Fraction of renewable energy contribution (0–1).
F) Operational and Maintenance Context
operating_mode — Operational state: idle / drive / charge.
load_condition — Vehicle load: light / normal / heavy.
maintenance_history_flag — Binary service event indicator.
time_since_last_service_days — Days elapsed since last maintenance intervention.
Target Variables
1) RUL_hours (Regression Target)
Continuous Remaining Useful Life estimate expressed in hours, representing the projected operational life of a monitored component.
2) health_class (Classification Target)
Categorical health state derived from RUL thresholds:
Healthy
Degrading
Critical
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Zenodo创建时间:
2026-02-22



