Feedback Linearization Engine Cooling Control
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Solution Overview
Problem
Existing cooling systems for internal combustion engines, particularly those using single input, single output (SISO) approaches, are insufficient in managing the complexity and performance required for active thermal management, leading to inadequate control over coolant flows and potential engine damage.
Innovation Solution
Implementing a nonlinear multivariable (MIMO) control approach based on feedback linearization and physical dynamic models to calculate desired coolant flows and actuator commands, optimizing actuator usage and reducing thermal stress on the engine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a SISO control approach is used for the cooling system, then the control structure is simple, but the cooling system cannot adequately manage complex thermal conditions and may lead to engine damage
Solution Approach 1:
The cooling system is divided into multiple independent control zones with separate actuators (electronic valves and pumps) for different engine components. Each zone can be controlled independently to manage thermal conditions in specific areas, enabling sophisticated thermal management while maintaining system reliability.
Solution Approach 2:
The control system transitions from static SISO control to dynamic MIMO control with continuous adjustment of multiple actuators based on real-time thermal feedback. The system dynamically adapts coolant flow distribution to changing engine thermal conditions, improving both control capability and engine safety.
2Reliability
If a MIMO control approach with feedback linearization is implemented, then the cooling system achieves superior thermal management performance, but the control algorithm complexity increases
Solution Approach 1:
The control system incorporates multiple temperature sensors providing real-time feedback from different engine zones. This feedback is fed into the MIMO controller with feedback linearization, which continuously adjusts actuator commands to maintain desired thermal conditions, achieving superior thermal management through closed-loop control.
Solution Approach 2:
The system changes control parameters dynamically by using feedback linearization to transform the nonlinear thermal system into an equivalent linear system. This allows the use of linear control techniques while maintaining accuracy across varying operating conditions, managing algorithm complexity through mathematical transformation.
3Object-affected harmful factors
If coolant flow is increased to reduce engine temperature, then engine thermal stress is reduced, but fuel efficiency decreases due to pump energy consumption
Solution Approach 1:
Instead of uniformly increasing coolant flow throughout the system, the control system applies cooling locally to specific engine zones that require it. Electronic control valves regulate coolant distribution to individual thermal zones, providing cooling only where thermal stress is high, thereby reducing overall pump energy consumption while protecting against thermal damage.
Solution Approach 2:
The system applies partial cooling action only to the extent necessary to manage thermal stress, rather than maintaining maximum cooling flow continuously. The MIMO controller adjusts coolant flow to the minimum required level for each zone based on actual thermal conditions, reducing energy consumption while maintaining engine safety.
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
This approach improves cooling system efficiency, reduces engine thermal stress, and prevents damage by allowing operation at higher temperatures without compromising hardware integrity, enhancing engine and fuel efficiency.
Implementation Method 1
The coolant fluid absorbs heat from the engine
Implementation Method 2
the coolant fluid is then cooled via a heat exchanger in a radiator when the coolant fluid is pumped out of the engine and into the radiator
Data Source
AI summary
Examples of techniques for controlling a cooling system for an internal combustion engine using feedback linearization are provided. In one example implementation, a computer-implemented method includes receiving, by a processing device, desired temperature targets. The method further includes receiving, by the processing device, temperature feedbacks. The method further includes calculating, by the processing device, a desired temperature derivative for each of the desired temperature targets. The method further includes calculating, by the processing device, desired coolant flows from the desired temperature derivative for each of the desired temperature targets using feedback linearization. The method further includes calculating, by the processing device, actuator commands from the desired coolant flows using an inverted hydraulic model. The method further includes implementing, by the processing device, the actuator commands in actuators in the cooling system.