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💡[Feature]: Inserting EV Battery Life Prediction #1543

@PrAyAg9

Description

@PrAyAg9

Is there an existing issue for this?

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Feature Description

Battery Health Metrics:

  • State of Charge (SOC): Current charge level of the battery expressed as a percentage.
  • State of Health (SOH): Overall condition of the battery compared to its original state, often expressed as a percentage.
  • Cycle Count: Number of charge and discharge cycles the battery has undergone.
  • Environmental Factors:

Temperature:

  • Ambient temperature where the vehicle operates, as extreme temperatures can affect battery performance.
  • Humidity: Moisture levels in the environment, which can influence battery longevity.
  • Usage Patterns:

Driving Habits:

  • Data on acceleration, braking patterns, and average speed.
  • Charging Behavior: Frequency and duration of charging sessions, as well as charging speed (e.g., fast charging vs. standard charging).

Use Case

It's Use Cases are:-
Predictive Maintenance:
Use Case: Fleet managers can use battery life predictions to schedule maintenance proactively, preventing unexpected failures and optimizing vehicle uptime.

Consumer Insights:
Use Case: Individual EV owners can receive insights about when to replace their battery or adjust their charging habits for optimal performance.

Battery Replacement Planning:
Use Case: Automakers can provide customers with accurate predictions for battery replacement timelines, enhancing customer satisfaction and loyalty.

Performance Optimization:
Use Case: EV manufacturers can use predictions to optimize battery management systems, improving overall vehicle performance based on user driving habits and environmental conditions.

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  • I have read the Contributing Guidelines
  • I'm a GSSOC'24 contributor
  • I want to work on this issue

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