Green Car Charging Control System for Accurate Time Prediction
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Solution Overview
Problem
Existing charging methods for high voltage batteries in green cars often result in errors in charging time prediction due to neglecting the state of the charger, leading to inefficiencies and consumer dissatisfaction.
Innovation Solution
A charging method that confirms the reservation time reference and sets a wake-up time based on the charger's state, including measuring charger voltage and current values to accurately predict the charging completion time, ensuring the vehicle wakes up and charges at the correct time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If charging prediction time is determined based on high voltage battery state only, then the charging control is simple, but charging time prediction accuracy deteriorates due to ignoring charger state
Solution Approach 1:
The patent merges the battery state monitoring and charger state monitoring into a unified charging prediction system. The controller integrates data from both the battery management system and charger status to calculate charging completion time, ensuring accurate prediction while maintaining systematic simplicity.
Solution Approach 2:
The system implements feedback by continuously monitoring both battery state and charger state, then using this combined information to adjust and refine charging prediction. The controller receives real-time status updates and modifies charging control decisions based on the integrated feedback from both sources.
2Reliability
If the vehicle wakes up early to charge, then charging completion is ensured, but energy is wasted due to unnecessary early wake-up
Solution Approach 1:
The system performs preliminary assessment of both battery state and charger availability before initiating charging. By evaluating charger state in advance, the vehicle can schedule wake-up time more precisely, performing the minimum necessary preliminary action to ensure charging completion without excessive early activation.
Solution Approach 2:
The patent dynamically adjusts the wake-up time parameter based on real-time charger state and battery requirements. Instead of using a fixed early wake-up time, the system modifies this parameter optimally by considering charger availability and charging rate, thereby reducing energy waste while ensuring charging completion.
3Ease of operation
If charging prediction ignores charger state, then the system is simpler to operate, but charging time calculation accuracy deteriorates
Solution Approach 1:
The controller is designed with multi-functionality, serving both as a simple wake-up timer and as an intelligent charging prediction system. By integrating charger state monitoring into the existing controller, the system achieves accurate charging time calculation without requiring separate complex subsystems, maintaining ease of operation.
Solution Approach 2:
The patent combines multiple functions (battery monitoring, charger monitoring, wake-up timing, and charging control) into a single integrated controller. This merging eliminates the need for separate complex systems while improving charging time calculation accuracy through comprehensive data integration.
Data Source
AI summary
A charging method of a green car includes confirming a reference of a charging reservation time input to a controller. A wake-up time is set based on the reference confirmed in the step of confirming the reservation reference. A charging starts after a vehicle wakes up at the time of reaching the wake-up time set in the step of setting the wake-up time.