VCU Speed Profile Generation Using Environmental Noise
Solution Overview
Problem
Electric vehicle speed profiles generated do not consider ambient environment and traffic information, leading to inaccuracies compared to actual driving conditions.
Innovation Solution
A vehicle control unit (VCU) method that calculates speed variations based on input information like weather, traffic flow, and road type, predicts average speeds, and generates refined speed profiles by applying noise information to accurately represent real-world driving conditions, including power usage predictions and guide information for drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If speed profile is generated based on simple calculation without environmental factors, then calculation complexity is reduced, but accuracy of speed profile deteriorates
Solution Approach 1:
The system performs preliminary calculations of speed variation for each point on the path before generating the final speed profile. This allows the VCU to pre-process environmental data (weather, traffic, road type) and store speed variation values, which are then combined with noise information to generate accurate speed profiles without requiring complex real-time calculations during execution.
2Measurement precision
If speed profile considers ambient environment and traffic information, then speed profile accuracy is improved, but calculation complexity increases
Solution Approach 1:
The path is divided into multiple discrete points, and speed variation is calculated independently for each point based on local environmental conditions (weather, traffic flow, road type). This segmentation allows the system to handle complex environmental factors in a modular way, where each point's speed variation can be pre-calculated and stored, reducing the overall computational burden while maintaining high accuracy.
Solution Approach 2:
The system performs preliminary calculations of speed variation for each point on the path before generating the final speed profile. This allows the VCU to pre-process environmental data (weather, traffic, road type) and store speed variation values, which are then combined with noise information to generate accurate speed profiles without requiring complex real-time calculations during execution.
3Reliability
If noise information is applied to speed profile, then representation of real-world driving conditions is improved, but prediction precision of power usage may deteriorate
Solution Approach 1:
The system applies noise information to the speed profile to simulate real-world driving conditions, which introduces variations in speed that better represent actual driving scenarios. This parameter change (adding noise to speed values) improves the reliability of the speed profile for predicting power usage, as it accounts for natural variations in driving behavior and environmental conditions that occur in real-world operation.
Data Source
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AI summary
Disclosed are a vehicle control unit (VCU) and an operation method thereof that calculates a speed variation of a vehicle based on input information, predict an average speed of the vehicle based on the calculated speed variation, generate a first speed profile based on the predicted average speed, and generate a second speed profile by applying speed noise information to the first speed profile.