EV Lease Period Setting Based on Battery Deterioration Forecast
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Solution Overview
Problem
Current methods for setting lease periods for electric vehicles do not accurately predict battery deterioration, leading to inappropriate lease periods based on user operation plans, as they fail to account for varying usage patterns and battery health.
Innovation Solution
A period setting system that acquires user operation plans and battery deterioration information to calculate a specific lease period, ensuring the lease duration aligns with the vehicle's battery capacity and usage expectations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the lease period is set based on conventional vehicle leasing methods without considering battery deterioration, then the lease period can be set simply, but the battery may deteriorate to a point where the vehicle cannot meet the user's travel distance requirements
Solution Approach 1:
The system performs preliminary battery deterioration prediction before the lease period ends by analyzing charging history and usage patterns. This advance assessment allows the lease period to be extended or adjusted while ensuring the battery will still meet travel distance requirements, thus resolving the contradiction between simple lease setting and reliable battery capacity sufficiency
Solution Approach 2:
The system continuously monitors charging times, charging amounts, and usage patterns, then feeds this information back to predict future battery deterioration. This feedback mechanism enables dynamic adjustment of the lease period based on actual battery health trends, ensuring both operational simplicity and battery capacity reliability
2Adaptability or versatility
If the lease period is extended to accommodate users with short annual travel distances, then user satisfaction improves, but the battery may not be fully utilized and surplus capacity remains
Solution Approach 1:
The system dynamically adjusts the lease period based on individual user travel patterns and battery deterioration rates. For users with short annual travel distances, the system calculates an optimized lease period that extends usage while ensuring the battery capacity is appropriately matched to actual needs, preventing both premature lease termination and excessive battery capacity surplus
Solution Approach 2:
The system changes the lease period parameter based on calculated battery deterioration rates and user-specific travel patterns. By adjusting this key parameter dynamically rather than using fixed lease terms, the system achieves both adaptability to different user needs and optimal battery capacity utilization
3Ease of operation
If the lease period is set without predicting battery deterioration, then the leasing process is simple, but it is impossible to set an appropriate lease period according to the user's operation plan
Solution Approach 1:
The system automatically performs battery deterioration prediction by analyzing charging history and usage patterns stored in the database, without requiring manual user input or complex external assessments. This self-service approach maintains ease of operation while achieving precise battery deterioration prediction through automated data processing and analysis
Data Source
AI summary
A period setting system of the present disclosure is capable of setting an appropriate lease period for an electric vehicle according to the user's operation plan. The period setting system is for setting a lease period of an electric vehicle and includes the following: an acquisition section that acquires user information including a user's operation plan for the electric vehicle; a storage section that stores deterioration information indicating the relationship between the user information and a deterioration degree of a battery that is used for a travel of the electric vehicle and installed in the electric vehicle; a calculation section that calculates a specific period specified for setting a lease period based on the user information and the deterioration information; and an output section that outputs the specific period.