Mobile Machine Torque Allocation for Stable Multi-Consumer Power
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Solution Overview
Problem
The challenge of power distribution in self-driving work machines arises from varying engine torque due to environmental factors and changing consumer demands, leading to potential undersupply and unintentional engine stalling, exacerbated by component tolerances and dynamic load changes.
Innovation Solution
A method for power management that calculates and distributes torque among main and auxiliary consumers based on actual parameters, using an offset parameter to ensure sufficient power is always available, compensating for component tolerances and dynamic changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the engine torque is reduced due to environmental factors (altitude, temperature) and dynamic load changes, then the engine can operate within its maximum capacity, but the power consumers may be undersupplied leading to unintentional engine stalling
Solution Approach 1:
The control method proactively calculates the maximum available torque of the drive unit based on environmental parameters (altitude, temperature) and operating conditions before power distribution occurs. By determining the torque maximum in advance and using it to calculate equitable distribution ratios among power consumers, the system prevents undersupply situations before they occur, thereby maintaining engine operation stability while optimizing power allocation.
2Reliability
If a uniform power controller setting is chosen for all machines to ensure flawless operation in worst-case combinations, then reliability is improved, but the performance of most machines cannot be fully utilized
Solution Approach 1:
The invention replaces static, uniform power controller settings with dynamic, adaptive power distribution. The control method continuously calculates the maximum available torque based on actual environmental parameters and operating conditions, then dynamically adjusts the distribution ratios among power consumers. This dynamic approach allows each machine to operate at its full potential while maintaining reliability, as the system adapts to actual conditions rather than relying on conservative worst-case settings.
Solution Approach 2:
The system changes the parameter of power distribution from fixed uniform values to variable values based on environmental parameters (altitude, temperature) and operational state. By calculating the torque maximum under different conditions and adjusting distribution ratios accordingly, the system optimizes performance for each specific operating scenario while ensuring reliable operation across all conditions.
3Power
If the turbocharger is given time to reach operating speed and build up boost pressure during load changes, then maximum torque can be provided, but there is a delay in torque availability
Solution Approach 1:
The control method performs preliminary calculation of the maximum available torque based on environmental parameters and expected operating conditions before actual power distribution occurs. By determining the torque maximum in advance and using it to calculate equitable distribution ratios, the system prepares the power allocation strategy proactively, reducing the effective response time during load changes while ensuring maximum torque availability when needed.
Data Source
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AI summary
A method for operating a mobile working machine is proposed, wherein at least one drive unit having at least one maximum parameter is used to drive at least one first main consumer and at least one second main consumer and at least one secondary consumer, and wherein at least one control unit is used, which at least partially improves the disadvantages of the prior art or, in particular, controls the main consumers with the help of so-called "power management" so that the motor can provide sufficient torque.According to the invention, this is achieved by forming an actual parameter difference between the maximum parameter of the drive unit and a sum of at least one first actual parameter of the first main consumer and one second actual parameter of the second main consumer as well as one third actual parameter of the at least one auxiliary consumer, by forming at least one main consumer actual parameter sum which is formed from at least one first actual parameter of the first main consumer and from one second actual parameter of the second main consumer, and by using a first component of the first actual parameter of the first main consumer in the main consumer actual parameter sum and a second component of the second actual parameter of the second main consumer in the main consumer actual parameter sum, wherein the actual parameter difference is divided at least into the first component and the second component.