EV Charging Profile Selection by Location and Time
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Solution Overview
Problem
Electric vehicles lack an efficient method to dynamically select optimal charging profiles based on location and time, leading to suboptimal charging operations.
Innovation Solution
A vehicle charging profile system that determines the location and time of an electric vehicle during driving operations, selects a corresponding charging profile, and performs functions aligned with that profile, utilizing a processor, memory, and location determining device to manage and execute charging operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If electric vehicles use fixed charging profiles regardless of location and time, then the charging system is simple to operate, but charging efficiency and energy cost optimization are poor
Solution Approach 1:
The charging profile selection system dynamically adapts to changing conditions by automatically selecting appropriate charging profiles based on real-time location data and time information. The system transitions from static, fixed profiles to dynamic, context-aware profile selection, enabling optimized charging operations without requiring manual user intervention.
Solution Approach 2:
The vehicle's charging system performs self-service by automatically determining its location, identifying the current time period, and selecting the most appropriate charging profile without external input. This autonomous operation improves charging efficiency while maintaining ease of use, as the system handles the complexity internally without burdening the user.
2Loss of energy
If electric vehicles dynamically select charging profiles based on location and time, then energy cost optimization improves, but the system complexity increases
Solution Approach 1:
The charging profile selection system acts as an intermediary layer between the vehicle's charging infrastructure and the external environment (location services, time sources, charging stations). This intermediary automatically processes location and time data to select optimal profiles, reducing energy costs while managing system complexity through automated decision-making logic.
Solution Approach 2:
The system pre-establishes multiple charging profiles tailored to different locations and time periods before actual charging operations. By preparing these profiles in advance and automatically selecting the appropriate one based on current conditions, the system optimizes energy cost without requiring complex real-time calculations during charging.
3Productivity
If electric vehicles use location-based charging profile selection, then charging operation optimization improves, but the difficulty of detecting and measuring location and time increases
Solution Approach 1:
The charging profile selection system leverages universal, multi-functional components already present in modern vehicles, such as GPS location determining devices and time-keeping functions. By reusing these existing sensors and systems for charging profile selection, the patent achieves optimized charging operations without significantly increasing the difficulty of detection and measurement.
Data Source
AI summary
An electric vehicle can be operated according to a charging profile. A location of an electric vehicle and a time period corresponding to the location of the electric vehicle can be determined during a driving operation of an electric vehicle. A charging profile for the electric vehicle can be selected during the driving operation of the electric vehicle and based at least in part on the location and the time period. One or more functions corresponding to the charging profile can be performed on the electric vehicle and based on selecting the charging profile.