Task-Adaptive Machine Control System for Power Economy
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Solution Overview
Problem
Existing machine systems, such as construction equipment, operate in fixed economy modes that may not match the specific power requirements of tasks, leading to inefficient fuel consumption, excessive emissions, and noise, even when tasks demand less than the maximum engine output.
Innovation Solution
A machine control system that includes a power source, operator input device, and controller to classify tasks and adjust power source operation based on operator input, allowing for multiple selectable modes and automatic modulation of power source speed and pump flow capacity to match task demands, thereby optimizing energy use and reducing emissions and noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the primary mover is set to a maximum output level to ensure sufficient power for all conditions, then the machine has adequate power for high-power tasks, but fuel consumption, exhaust emissions, and engine noise increase unnecessarily
Solution Approach 1:
The patent applies dynamics by making the primary mover's output level adjustable rather than fixed at maximum. The control system dynamically modifies the maximum output level of the primary mover based on the classified task requirements, allowing the machine to operate at optimal power levels for each specific task while maintaining adequate power availability when needed.
Solution Approach 2:
The patent changes the operational parameters of the primary mover based on task classification. The controller adjusts the maximum output level parameter of the primary mover according to the classified task, enabling the system to optimize fuel consumption by operating at lower power levels for tasks that don't require maximum power while ensuring sufficient power for high-demand tasks.
2Power
If the primary mover is set to a maximum output level to ensure sufficient power for all conditions, then the machine has adequate power for high-power tasks, but exhaust emissions increase unnecessarily
Solution Approach 1:
The control system dynamically adjusts the primary mover's maximum output level based on task classification, enabling the machine to operate at optimal power levels for each specific task. This dynamic adjustment reduces exhaust emissions by avoiding unnecessary high-power operation while maintaining adequate power availability when required by the task at hand.
Solution Approach 2:
The system changes the operational parameters of the primary mover according to the classified task requirements. By adjusting the maximum output level parameter dynamically, the system reduces harmful exhaust emissions during low-power tasks while ensuring sufficient power availability for high-power tasks through parameter modification.
3Power
If the primary mover is set to a maximum output level to ensure sufficient power for all conditions, then the machine has adequate power for high-power tasks, but engine noise increases unnecessarily
Solution Approach 1:
The patent implements dynamic adjustment of the primary mover's maximum output level based on task classification. This allows the engine to operate at appropriate power levels for each task, reducing unnecessary engine noise during low-power tasks while maintaining adequate power availability for high-power tasks through real-time parameter adjustment.
Solution Approach 2:
The control system modifies the maximum output level parameter of the primary mover according to the classified task, enabling reduction of engine noise during tasks that don't require maximum power while ensuring sufficient power availability for high-power tasks through dynamic parameter changes.
4Loss of energy
If fixed economy modes are used to reduce fuel consumption, then fuel efficiency improves, but the machine may lack sufficient power for high-power tasks
Solution Approach 1:
The patent applies dynamics by making the economy modes adaptive rather than fixed. The control system dynamically adjusts the maximum output level of the primary mover based on the classified task requirements, allowing the machine to operate efficiently in economy mode for low-power tasks while automatically providing sufficient power for high-power tasks when needed.
Solution Approach 2:
The system changes the operational parameters of the primary mover based on task classification, enabling fuel-efficient operation during low-power tasks while ensuring adequate power availability for high-power tasks through dynamic parameter adjustment. This resolves the contradiction by making economy modes task-adaptive rather than fixed.
5Loss of energy
If the maximum displacement of the hydraulic pump is set to a larger value in economy mode, then fuel consumption is reduced, but the available output may be insufficient for some high power tasks
Solution Approach 1:
The patent makes the hydraulic pump displacement dynamic and task-adaptive. The control system adjusts the maximum displacement of the hydraulic pump based on the classified task requirements, allowing the system to operate with larger displacement for fuel efficiency during low-power tasks while ensuring sufficient available output for high-power tasks when needed.
Solution Approach 2:
The system changes the maximum displacement parameter of the hydraulic pump according to the classified task, enabling reduced fuel consumption during economy mode operation for low-power tasks while maintaining sufficient available output for high-power tasks through dynamic parameter adjustment.
Data Source
AI summary
A control system for a machine is disclosed. The control system may have a power source, an operator input device, a work implement, and a controller in communication with the power source and the operator input device. The operator input device may be configured to generate a signal indicative of a desired mode of power source operation. The work implement may be driven by the power source to accomplish a task. The controller may be configured to classify a currently performed task, and adjust power source operation based on the task signal and the classification.