Charging Plan Display for Preference-Based EV Battery Management
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Solution Overview
Problem
Users find it difficult to determine how to adjust factors affecting battery charge based on their driving preferences.
Innovation Solution
A charging plan display system and program that acquires user driving preferences and determines whether to adjust battery temperature, charging upper limits, and speed limits, then displays a charging plan accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually plan charging strategies to optimize battery charge, then battery charge management can be optimized, but user burden and complexity increase
Solution Approach 1:
The system automatically determines charging strategies and displays charging plans without requiring manual user planning. The determination unit autonomously analyzes driving preferences, battery status, and charging conditions to generate optimized charging schedules, allowing the system to serve itself rather than requiring continuous user intervention for battery charge management
Solution Approach 2:
The system continuously monitors battery charge levels, driving patterns, and charging conditions, then uses this feedback to dynamically adjust and optimize charging strategies. The display control unit presents charging plans based on real-time data, creating a closed-loop system that automatically adapts to changing conditions without user burden
2Productivity
If multiple factors affecting battery charge are automatically adjusted, then charging optimization is improved, but system complexity increases
Solution Approach 1:
The system segments the complex charging optimization problem into distinct functional units: an acquisition unit that gathers driving preference data, a determination unit that processes this data and determines charging strategies, and a display control unit that presents the charging plan. This modular segmentation allows each unit to handle specific tasks independently, reducing overall system complexity while maintaining comprehensive charging optimization
Solution Approach 2:
The system performs preliminary determination of charging strategies by analyzing driving preferences and battery conditions before actual charging occurs. The determination unit pre-calculates optimal charging plans based on anticipated driving patterns and battery state, allowing the system to prepare optimized charging schedules in advance rather than reacting to complex real-time conditions
Data Source
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AI summary
[Object] To provide a system capable of presenting a plan regarding factors that affect the remaining charge of a battery. [Solution] The system includes: an acquisition unit configured to acquire a driving preference indicating a driving preference of a user; a determination unit configured to determine, in accordance with the driving preference, whether to adjust the temperature of a battery configured to supply electric power to a motor that serves as a drive power source for a vehicle, an upper limit of the amount of charge to be supplied to the battery for charging, a speed limit of the vehicle, or a charging facility; and a display control unit configured to display, on a display unit, a charging plan set based on the determined whether to adjust the temperature of the battery, the upper limit of the amount of charge, the speed limit, or the charging facility.