Mobile Work Machine Power Allocation Under Variable Motor Load
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Solution Overview
Problem
Existing energy management strategies for mobile work machines are complex and difficult to adapt to changes in power components, requiring significant analysis and modeling efforts.
Innovation Solution
A method for controlling a mobile work machine that simplifies power limitation and distribution among power participants by using a load factor and prioritization functions to calculate power factors for each participant, allowing for scalable power distribution without extensive modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex energy management strategies with multiple coordinators (GEK, VEK) are used to proactively manage power distribution, then power management effectiveness is improved, but system complexity and modeling effort increase significantly
Solution Approach 1:
The patent segments the power management function into individual power participant controllers, each independently calculating its own power factor based on simple criteria (continuous operation status, startup priority). This eliminates the need for complex centralized coordinators while maintaining effective power distribution through decentralized autonomous decision-making at each power participant level.
2Productivity
If detailed analysis and modeling efforts are performed for power distribution strategies, then power optimization is improved, but implementation time and resource requirements increase
Solution Approach 1:
Each power participant autonomously determines its own power factor based on simple predefined criteria (continuous operation requirement, startup priority) without requiring external analysis or modeling. The system self-regulates power distribution through independent local decisions, eliminating the need for time-consuming centralized analysis and modeling efforts.
3Ease of operation
If fixed power distribution methods (inch pedal) are used to divide drive power, then ease of operation is improved, but adaptability to changing power requirements deteriorates
Solution Approach 1:
The patent implements dynamic power distribution where each power participant independently calculates its power factor based on real-time operational status and priority levels. This allows the system to automatically adapt to changing power requirements and operational conditions without requiring manual reconfiguration, while maintaining simple operator interaction through automatic priority-based allocation.
Data Source
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AI summary
The present invention relates to a method for controlling a mobile working machine, wherein the working machine is provided with at least two power participants (4, 6, 8), each configured to receive energy from a motor (2) and convert this energy into a work task and/or a driving task of the working machine, wherein the method comprises the following steps: a. Determining a load on the motor (2) in the form of a load factor (facLLC); b. Calculating a power factor (facV_x) for each power participant (4, 6, 8), wherein the power factor (facV_x) is calculated using a prioritization function assigned to the respective power participant (4, 6, 8), wherein the respective prioritization function can determine a value for the power factor (facV_x) depending on the determined load factor (facLLC) and a prioritization factor (Pr_x) assigned to the respective power participant; c.Calculating a target performance for each service participant (4, 6, 8) based on the respective performance factor (facV_x) and a respective requested performance.