Autonomy Computing Cooling Loops for Predictive Heat Load Control
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Solution Overview
Problem
Autonomous vehicles face overheating issues due to the heat generated by their autonomy computing systems, which can lead to system failure and hinder vehicle operation.
Innovation Solution
A cooling system with independent cooling loops and a controller that predicts heat loads based on environmental and operating conditions, dynamically managing heat removal through fluid passageways and heat exchangers to maintain system reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomy computing system processes information at high speed to enable real-time vehicle operation, then the productivity and response time are improved, but heat generation increases leading to overheating and system failure
Solution Approach 1:
The cooling system is divided into multiple independent cooling loops, each capable of cooling different components of the autonomy computing system separately. This allows targeted cooling of high-heat-generation areas while maintaining overall system temperature control, resolving the contradiction between high processing speed and heat management.
Solution Approach 2:
The system proactively cools components before they overheat by predicting heat generation based on computing load. The controller anticipates thermal conditions and activates cooling in advance, preventing overheating while maintaining sustained high-speed processing capability.
2Reliability
If the cooling system operates continuously at high capacity to prevent overheating, then the reliability is improved, but energy consumption increases
Solution Approach 1:
The cooling system dynamically adjusts its operation based on real-time computing load and thermal conditions. The controller modulates cooling capacity to match actual heat generation, maintaining system reliability while minimizing unnecessary energy consumption during low-load periods.
Solution Approach 2:
The system uses temperature sensors and computing load information as feedback to continuously adjust cooling system operation. This closed-loop control ensures reliability by preventing overheating while optimizing energy usage by reducing cooling capacity when thermal conditions permit.
3Device complexity
If the system uses a single cooling loop to simplify the design, then the device complexity is reduced, but the ability to maintain cooling during component failure is worsened
Solution Approach 1:
The cooling system is segmented into multiple independent loops that can operate autonomously. If one loop or its associated component fails, the other loops continue to provide cooling, maintaining system reliability without requiring an overly complex integrated system.
Solution Approach 2:
Different cooling loops are optimized for different components based on their specific thermal characteristics and failure risks. This localized approach provides targeted cooling and redundancy where most needed while keeping individual loop designs relatively simple.
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 efficiently manages heat, reducing the risk of overheating and system failure, enabling continued vehicle operation even in failure states by proactive cooling and rerouting cooling fluid to functional components.
Implementation Method 1
at least one fluid line defining a fluid passageway in thermal communication with the autonomy computing system of the vehicle
Implementation Method 2
operate the cooling system based on the determined operating parameter to direct fluid through the fluid passageway and remove heat generated by the at least one set of ECUs
Data Source
AI summary
A method and system for cooling an autonomy cooling system of a vehicle includes at least one fluid line defining a fluid passageway in thermal communication with at least one set of electronic control units (ECUs) of the autonomy computing system. A controller receives information relating to at least one of an environmental condition or an operating state of the vehicle, and determines a predicted computing load of an autonomy computing system of the vehicle based on the received information. The controller determines a predicted heat load generated by the autonomy computing system based on the predicted computing load of the autonomy computing system, and determines an operating parameter based on the predicted heat load. The system is operated based on the determined operating parameter to direct fluid through the fluid passageway and remove heat generated by the at least one set of ECUs.