Vehicle Battery Charging Profile Updates for Battery Life Control
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Solution Overview
Problem
Existing vehicle technologies lack effective methods for optimizing battery charging patterns and managing battery state to enhance performance and extend battery life, considering factors such as charging patterns and environmental conditions.
Innovation Solution
A vehicle control apparatus and method that includes a processor for monitoring battery energy and charging information, determining charging ranges and current adjustments, and updating charging profile information based on pattern information to optimize battery charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If charging profile information is updated based on monitoring battery energy information and charging information, then battery performance is improved and battery life is extended, but device complexity increases due to additional monitoring and processing requirements
Solution Approach 1:
The vehicle control apparatus automatically monitors battery energy information and charging information, generates pattern information, and updates charging profile information without requiring manual intervention. The system serves itself by autonomously optimizing charging parameters based on real-time data, thereby improving battery performance while avoiding the complexity of manual configuration interfaces.
Solution Approach 2:
The system continuously monitors battery energy information and charging information, compares actual charging patterns with target patterns, and updates charging profile information based on the deviation. This closed-loop feedback mechanism enables automatic optimization of battery charging, improving reliability while managing complexity through algorithmic automation rather than manual control.
2Productivity
If charging profile information is updated automatically without owner consent, then productivity is improved by reducing user interaction, but ease of operation deteriorates as the user loses control over battery management
Solution Approach 1:
The system obtains owner consent to update charging profile information before automatically implementing changes. This preliminary action of seeking authorization balances automated efficiency with user control, allowing the system to operate autonomously when permitted while respecting user autonomy, thus maintaining both productivity and ease of operation.
3Duration of action of stationary object
If the charging range is set based on minimum remaining energy and discharge energy, then battery life is extended by optimizing charge cycles, but measurement precision requirements increase to accurately determine energy parameters
Solution Approach 1:
The system replaces direct physical measurement of battery energy parameters with a computational approach. The processor calculates minimum remaining energy and discharge energy based on monitored battery data and applies these values to determine charging range. This substitution of computational methods for direct measurement reduces the stringent precision requirements while still achieving battery life extension through optimized charging cycles.
Data Source
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AI summary
A vehicle control apparatus (100) includes a processor (110) and a memory (102). The processor monitors at least one of battery energy information (121) or charging information of a vehicle (122). The processor determines whether to generate at least one of first pattern information (150) for setting a charging range of a battery of the vehicle or second pattern information (155) for adjusting a charge current using a charging time taken to charge the battery. The processor identifies an input indicating consent to updating the at least one of the first pattern information or the second pattern information, which is generated based on determination to generate the at least one of the first pattern information or the second pattern information, in charging profile information. The processor updates the charging profile information, using the generated at least one of the first pattern information or the second pattern information.