Vehicle Power Control for Peak Load Voltage Stability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicles face issues with low voltage due to high-power electronic components consuming power rapidly, leading to potential operational stoppages and accidents from faults in drive devices and electronic components, where it is difficult to distinguish between power supply faults and component faults.
Innovation Solution
A power control device that communicates with a battery management system to determine peak power generation and control high-voltage load outputs, decreasing them during peak power and increasing them when necessary, based on travel time and speed information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If high-power electronic components are operated continuously, then convenience and comfort for passengers is improved, but voltage supplied to components rapidly decreases causing operational stoppages
Solution Approach 1:
The power control device performs preliminary action by predicting peak power generation before it occurs, using machine learning models trained on historical power consumption data. This allows the system to proactively adjust power distribution and prevent voltage drops before they cause operational stoppages, maintaining both passenger comfort and voltage stability.
Solution Approach 2:
The system implements feedback control by continuously monitoring actual power consumption, comparing it with predicted values, and adjusting power distribution in real-time. The machine learning model is also continuously trained on new data, creating a feedback loop that improves prediction accuracy and maintains voltage stability while supporting high-power component operation.
2Device complexity
If power control is not implemented, then device complexity is reduced, but faults in drive devices and electronic components cannot be distinguished between power supply issues and component failures
Solution Approach 1:
The power control device acts as an intermediary between the battery management system and electronic components. It introduces detailed power consumption monitoring and prediction capabilities that enable fault diagnosis without requiring complex changes to the existing system architecture. The machine learning model serves as a mediator that analyzes power patterns to distinguish between power supply faults and component failures.
Solution Approach 2:
The system implements self-service fault diagnosis by automatically analyzing power consumption patterns and identifying the nature of faults without requiring external intervention or complex additional hardware. The machine learning model autonomously determines whether faults are caused by power supply issues or component failures, maintaining reliability while minimizing added complexity.
3Ease of operation
If peak power generation is not managed, then ease of operation is maintained, but accidents may occur due to faults in drive devices and electronic components
Solution Approach 1:
The power control device applies preliminary anti-action by predicting peak power generation and potential faults before they occur. The machine learning model analyzes historical data to identify patterns that precede accidents or component failures, allowing the system to take preventive measures such as adjusting power distribution or alerting operators, thereby reducing accident risk while maintaining ease of operation.
Solution Approach 2:
The system uses feedback control to continuously monitor power consumption patterns and compare them against predicted values. When deviations indicate potential faults or unsafe conditions, the system automatically adjusts power distribution or generates alerts, creating a feedback loop that prevents accidents while maintaining simple operation through automated control.
Data Source
AI summary
The vehicle includes a battery, a load receive a voltage higher than or equal to a preset voltage from the battery, a controller controls an operation of the load, a battery management system monitors a total amount of power output from the battery, and a power control device determines whether peak power is generated based on the total amount of power and an amount of peak power, controls the load so that an output of the load is decreased when it is determined that the peak power has been generated, and controls the load so that the output of the load is increased when it is determined that the generation of the peak power has been released.