EV Battery SoH
Server-side machine learning dashboard for final engineering project presentation

Dataset Columns

ColumnMeaningData TypeDefault UsageReason
Vehicle_IDUnique vehicle or battery record identifier.string
No
Excluded because it is only an identifier and does not provide meaningful predictive information.
Car_ModelElectric vehicle model name.categorical
Yes
Operational context feature.
Battery_TypeBattery chemistry, such as NMC or LFP.categorical
Yes
Battery chemistry can influence degradation behavior.
Battery_Capacity_kWhBattery energy capacity in kilowatt-hours.numeric
Yes
Capacity may relate to operating stress and degradation.
Vehicle_Age_MonthsVehicle age in months.numeric
Yes
Battery age is a direct degradation-related factor.
Total_Charging_CyclesTotal number of charging cycles.numeric
Yes
More cycles usually indicate more battery wear.
Avg_Temperature_CAverage operating temperature in Celsius.numeric
Yes
Temperature can accelerate battery aging.
Fast_Charge_RatioShare of charging events using fast charging.numeric
Yes
Fast charging can affect degradation.
Avg_Discharge_Rate_CAverage battery discharge rate.numeric
Yes
Discharge intensity can affect battery stress.
Driving_StyleDriving behavior category.categorical
Yes
Driving style can influence battery load patterns.
Internal_Resistance_OhmBattery internal resistance.numeric
Yes
Internal resistance is strongly related to battery aging.
SoH_PercentState of Health percentage.numeric
Target
This is the supervised regression target.
Battery_StatusBattery condition label.categorical
No
Excluded by default because it may be derived from SoH_Percent and cause data leakage.