EV Charging Cut-Off Capacity Using Battery History Feedback
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Solution Overview
Problem
Current charging systems for new energy vehicles lack the ability to intelligently set and adjust the charging cut-off capacity, leading to accelerated battery degradation, safety risks, and inaccurate state of charge calculations, which can result in sudden power loss and safety accidents.
Innovation Solution
A method and system where a cloud server connected to a charging apparatus acquires and processes battery history data to calculate an appropriate charging cut-off capacity, determining an upper limit and prediction value to ensure safe charging, and communicates this capacity to the charging apparatus to prevent overcharging, thereby extending battery life and enhancing safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the battery is filled to high capacity every charge, then the charging efficiency is improved, but the battery service life deteriorates and safety risks increase
Solution Approach 1:
The charging cut-off capacity is dynamically adjusted based on battery history data, usage patterns, and state of charge calculations rather than using a fixed high capacity threshold. The system adapts the charging termination point to optimize both charging efficiency and battery longevity.
Solution Approach 2:
The system continuously monitors battery usage data, state of charge, and charging patterns to calculate and adjust the optimal charging cut-off capacity. This feedback mechanism ensures that charging parameters are optimized based on actual battery performance and historical data.
2Ease of operation
If the charging cut-off capacity is set as fixed value, then the operation simplicity is improved, but the battery consistency deteriorates and mileage accuracy decreases
Solution Approach 1:
The system automatically calculates and adjusts the charging cut-off capacity based on battery history data and usage patterns without requiring manual user input. The battery management system self-optimizes charging parameters to maintain consistency and accuracy.
Solution Approach 2:
The charging cut-off capacity parameter is dynamically changed based on calculated values from battery history data, state of charge, and usage patterns. This allows the system to adapt to varying battery conditions while maintaining operational simplicity for the user.
3Device complexity
If the battery state of charge is not calibrated, then the measurement simplicity is improved, but the mileage display accuracy deteriorates
Solution Approach 1:
The system continuously monitors and compares actual battery usage with calculated state of charge values to detect deviations. When calibration is needed, the system automatically adjusts the state of charge calculations based on actual usage data, ensuring accurate mileage display without complex manual calibration procedures.
Data Source
AI summary
A method for acquiring and setting a charging cut-off capacity, and a charging management system are disclosed. In the system, a cloud server is communicatively connected to a charging apparatus which is communicatively connected to a new energy vehicle. The cloud server can acquire e battery history data of the new energy vehicle according to a charging request of the charging apparatus for a power battery of the new energy vehicle, so as to calculate the charging cut-off capacity of the charging apparatus for the power battery, and send the charging cut-off capacity to the charging apparatus. The charging apparatus can perform charging and battery-capacity monitoring on the power battery according to the charging cut-off capacity. The method provided by the present invention realizes intelligent calculation and setting of the charging cut-off capacity, which can effectively improve the power consumption and charging safety of the new energy vehicle.