Automotive Lighting Thermal Management for Radar Sensor Protection
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Solution Overview
Problem
Automotive radar sensors are affected by high temperatures from digital lighting devices, leading to potential shutdowns and compromised performance, which impacts user experience and manufacturer reputation.
Innovation Solution
A method using a control unit trained with machine learning algorithms to estimate vehicle sensor temperature without direct sensors, managing thermal conditions by adjusting operation parameters such as fan power and ventilation, based on data from auxiliary sensors and physical properties of the lighting device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If digital lighting devices are used to provide illumination, then illumination quality and energy efficiency are improved, but temperature generation increases causing radar sensor shutdowns
Solution Approach 1:
The control unit predicts future temperature states and radar sensor deactivation times before actual thermal problems occur. By simulating thermal evolution and proactively adjusting operation parameters, the system prevents temperature-induced sensor shutdowns rather than reacting after they occur.
Solution Approach 2:
The system continuously monitors actual temperature data from the radar sensor and compares it with predicted temperatures. This feedback loop allows the control unit to adjust lighting operation parameters dynamically, optimizing the balance between illumination quality and thermal management.
2Measurement precision
If direct temperature sensors are installed to monitor radar sensor temperature, then temperature measurement accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The control unit acts as an intermediary that infers radar sensor temperature indirectly through multiple data sources including ambient temperature sensors, lighting device temperature sensors, and thermal models. This eliminates the need for direct temperature sensors on the radar while maintaining accurate temperature estimation.
Solution Approach 2:
The patent replaces physical temperature sensing mechanisms with a computational approach using machine learning algorithms and thermal simulations. The control unit substitutes mechanical sensor installation with software-based temperature prediction and estimation techniques.
3Illumination intensity
If lighting device operates at high power to ensure illumination performance, then illumination intensity is improved, but thermal load on radar sensor increases
Solution Approach 1:
The system dynamically adjusts lighting operation parameters based on real-time temperature conditions and predicted thermal evolution. The control unit modulates power levels, operating intensity, and duration of lighting devices to maintain optimal illumination while preventing excessive thermal accumulation that would affect radar sensor performance.
Data Source
Figure 1~2
AI summary
This invention provides a method for operating an automotive arrangement with a lighting device (1) and a vehicle sensor (5). This method comprises the steps of providing a plurality of auxiliary sensors (4), configured to provide some device data, provide a control unit (3) configured to estimate a vehicle sensor temperature using the device data and controlling an operation parameter of the automotive lighting device (1) using the estimated vehicle sensor temperature. The invention also provides a data processing element and a computer program to carry out this method and an automotive lighting device comprising a control unit (3) which carries out this method.