EV Battery Display Server Using Driving Data Analysis
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Solution Overview
Problem
Electric vehicle drivers face challenges such as limited charging stations, long charging times, and difficulty in intuitively recognizing battery charge levels, leading to range anxiety and suboptimal driving conditions.
Innovation Solution
A server and device system that analyzes driving and charging data to provide a battery display status to electric vehicle drivers, including a vehicle information receiver, driving data analyzer, charging data analyzer, and display status setting part, which calculates and sets the battery display status based on driving habits, charging habits, and battery health, transmitting this information to the vehicle terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If battery charge level is displayed using traditional gauge or percentage, then the display is simple and easy to implement, but drivers cannot intuitively recognize remaining battery charge and experience range anxiety
Solution Approach 1:
The patent introduces a server as an intermediary between the vehicle's battery system and the display interface. The server receives raw battery data, analyzes driving patterns and charging habits, calculates accurate remaining charge information, and transmits processed data to the display device. This intermediary process transforms simple percentage data into intuitive range information without requiring complex hardware modifications in the vehicle.
Solution Approach 2:
The system performs preliminary analysis of driving patterns and charging habits before displaying battery status. By pre-processing data to understand typical consumption rates and charging behaviors, the system can provide more accurate remaining charge predictions. This preliminary action enables intuitive display without requiring complex real-time calculations during driving.
2Reliability
If motor output is reduced for battery protection, then battery longevity is improved, but driving conditions deteriorate and drivers complain
Solution Approach 1:
The patent implements dynamic adjustment of motor output based on real-time battery status, driving patterns, and predicted remaining charge. Rather than static reduction, the system continuously adapts power delivery to balance battery protection with driving performance. This dynamic approach allows full power when appropriate while providing protective reduction only when necessary, maintaining driving satisfaction while extending battery life.
Solution Approach 2:
The system establishes a feedback loop where battery status, driving patterns, and motor output are continuously monitored and adjusted. The server receives data from the vehicle, analyzes the relationship between power delivery and battery state, and provides feedback recommendations for optimal power management. This closed-loop control ensures battery protection without significantly impacting driving conditions.
3Measurement precision
If detailed driving and charging data are collected and analyzed, then accurate battery status prediction is achieved, but data processing complexity and time increase
Solution Approach 1:
The system performs preliminary analysis of driving patterns and charging habits during periods when the vehicle is not in use or during low-load operations. By pre-processing historical data to establish baseline consumption rates and charging characteristics, the system reduces the computational burden during critical real-time battery status predictions. This preliminary action enables accurate predictions without requiring extensive processing time during active driving.
Solution Approach 2:
The patent implements a tiered data processing approach where only essential data elements are processed in real-time, while comprehensive analysis is performed periodically or when computational resources are available. The system identifies and processes the most critical parameters for battery status prediction, accepting slightly less precision in less critical scenarios. This partial processing approach balances accuracy requirements with time constraints.
Data Source
AI summary
The present disclosure relates to a server for providing the battery display status of an electric vehicle based on the results of analysis on an electric vehicle driver's driving data and battery charging data, and a device and computer-readable recording medium for setting the battery display status of an electric vehicle. The battery display status provision server includes: a vehicle information receiver that receives vehicle identification information from a vehicle terminal; a driving data analyzer that retrieves driving data based on the received vehicle identification information and rates the driving pattern by extracting the vehicle driver's driving habits from the retrieved driving data; and a display status setting part that sets the battery display status based on the rated charging pattern and transmits the same to the vehicle terminal.