💡[Feature]: Inserting EV Battery Life Prediction

[PrAyAg9]

Is there an existing issue for this?

• I have searched the existing issues

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.

Benefits

No response

Add ScreenShots

No response

Priority

High

Record

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

[github-actions]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

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[github-actions]

Hello @PrAyAg9! Your issue #1543 has been closed. Thank you for your contribution!