EV Battery Charge Guidance for Fast Charging and Battery Life
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Solution Overview
Problem
The insufficient infrastructure for charging electric vehicles leads to user anxiety and inconvenience, and increased maintenance costs due to varying charging needs and battery deterioration.
Innovation Solution
A system and method that uses a portable terminal to learn user movement patterns and battery usage, generating a personalized battery charge/discharge guide to optimize charging and discharging based on location, power usage, and vehicle conditions, minimizing rapid charging and preventing battery degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If rapid charging is used to reduce charging time, then charging speed is improved, but battery deterioration increases
Solution Approach 1:
The system performs preliminary learning of user movement patterns and battery usage characteristics before generating charging guides. By analyzing historical data in advance, the system can predict optimal charging strategies that balance speed and battery health, recommending rapid charging only when necessary and suggesting slower charging methods when time permits.
Solution Approach 2:
The system dynamically adjusts charging parameters based on learned patterns, changing charging speed, duration, and timing recommendations according to predicted user behavior and battery state. This allows optimization of both charging speed and battery longevity by selecting appropriate charging rates for different scenarios.
2Ease of operation
If charging infrastructure is expanded to reduce user anxiety, then user convenience is improved, but system complexity increases
Solution Approach 1:
The system enables users to serve themselves by providing automated charging guidance based on their learned movement patterns. The portable terminal automatically generates personalized charging recommendations without requiring users to manually query infrastructure locations or calculate charging needs, reducing the perceived complexity for users.
Solution Approach 2:
The portable terminal acts as an intermediary between the user and the complex charging infrastructure. It processes location data, battery usage patterns, and infrastructure information to provide simplified guidance, shielding users from the underlying system complexity while still enabling convenient access to charging services.
3Duration of action of stationary object
If battery usage is optimized to extend battery life, then battery durability is improved, but charging cost may increase
Solution Approach 1:
The system implements periodic charging strategies based on learned usage patterns, suggesting charging at specific intervals and times when electricity rates are lower. By analyzing historical data, the system can recommend charging during off-peak hours or when the vehicle is stationary for extended periods, balancing battery health with cost considerations.
Solution Approach 2:
The system recommends partial charging strategies rather than always charging to full capacity. By learning when full charging is necessary versus when partial charging suffices, the system extends battery life by reducing stress from frequent full cycles while minimizing charging costs by avoiding unnecessary charging events.
Data Source
AI summary
A system for controlling a vehicle battery includes a vehicle which includes a motor that provides a driving force or generates power through regenerative braking and a battery that provides power to the motor and calculates a battery usage according to use of the battery, and a portable terminal which obtains location information of a user, generates a battery charge/discharge guide based on the location information of the user and the battery usage received from the vehicle, and transmits the battery charge/discharge guide to the vehicle, thus minimizing anxiety and inconvenience to users when charging and discharging an electric vehicle, and also minimizing the maintenance cost of the electric vehicle.