Autonomous Vehicle Thermal Reduction System for Data Processing Cooling
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Solution Overview
Problem
Automated vehicles (AVs) face challenges in maintaining peak performance of on-board data processing systems due to heat generation, requiring effective cooling solutions to ensure reliability and safety, especially in varying ambient conditions.
Innovation Solution
A thermal reduction system that utilizes a combination of primary and secondary cooling units, including cabin and main radiators, and an evaporator/condenser system, dynamically controlled by sensors to manage cooling fluid flow and temperature, optimizing the operational environment for data processing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous data processing is performed to maintain peak performance, then processing reliability is improved, but heat generation increases causing thermal issues
Solution Approach 1:
The cooling system is divided into multiple independent cooling units (first cooling unit, second cooling unit, third cooling unit) that can operate separately or in combination. Each unit handles specific thermal loads, allowing the system to manage heat generation from continuous data processing through distributed cooling zones rather than a single centralized system.
Solution Approach 2:
The cooling system is designed to serve multiple functions simultaneously: the first cooling unit cools the data processing system, the second cooling unit cools the battery pack, and the third cooling unit provides cabin cooling. This multi-functional approach allows the same thermal management infrastructure to handle diverse heat sources throughout the vehicle.
2Temperature
If cooling systems are designed to maintain optimal operating temperature, then processing performance is preserved, but system complexity increases
Solution Approach 1:
The system employs dynamic control through a controller that receives temperature data from multiple sensors and adjusts cooling operations in real-time. The controller can selectively activate different cooling units based on current thermal conditions, allowing the system to adapt to varying thermal loads without requiring all cooling components to operate continuously, thus managing complexity through intelligent control rather than static over-engineering.
Solution Approach 2:
The cooling system incorporates self-regulating capabilities through temperature sensors positioned at critical locations (data processing system, battery pack, cabin) that automatically trigger cooling operations when temperature thresholds are exceeded. This self-service approach reduces the need for complex external control mechanisms while maintaining optimal temperature control.
3Measurement precision
If multiple cooling units are used to manage different thermal zones, then cooling precision is improved, but energy consumption increases
Solution Approach 1:
The system applies partial cooling action by selectively activating only the cooling units that are currently needed based on real-time temperature conditions. Rather than running all cooling units at full capacity continuously, the controller activates specific cooling zones (data processing, battery, or cabin) only when their respective temperature thresholds are exceeded, thereby maintaining cooling precision while reducing overall energy consumption.
Solution Approach 2:
The system changes operational parameters dynamically by adjusting which cooling units are active based on temperature data. The controller can switch between different cooling configurations (single unit operation, multiple units operation, or combined operation) depending on the thermal state of various vehicle components, optimizing energy consumption by matching cooling capacity to actual thermal demands.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively maintains an optimal operational temperature range for data processing systems, enhancing cooling precision and efficiency, thereby ensuring reliable and safe AV operation across different conditions.
Implementation Method 1
passage through the radiators of the cooling system
Implementation Method 2
evaporator/condenser system
Data Source
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AI summary
An autonomous vehicle (AV) can include a data processing system housed in a cooling rack, and a thermal reduction system to provide cooling for the data processing system. The thermal reduction system can include a fluid pump to pump cooling fluid through the cooling rack, a cabin radiator to receive the cooling fluid and pump cabin air from the interior cabin of the AV to cool the cooling fluid, and a main radiator to receive the cooling fluid and pump outside air to further cool the cooling fluid. Additionally, the thermal reduction system can include a secondary cooling unit that includes a condenser, evaporator, and compressor pump to further cool the cooling fluid.