Vehicle Power Allocation via User Weighting Values
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Solution Overview
Problem
Existing methods for controlling power consumption in motor vehicles do not effectively consider the user's preferences or needs, leading to inefficient energy usage.
Innovation Solution
A method and device that allow vehicle users to influence power consumption by determining a weighting value, which affects the maximum power available to electrical consumers, based on user input or performance monitoring, enabling users to prioritize comfort, performance, or cruising range, and controlling power distribution through a control unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power consumption of electrical consumers is controlled without user influence, then energy efficiency is improved, but user comfort and preferences are not considered
Solution Approach 1:
The system dynamically adjusts power allocation to electrical consumers based on real-time user preferences expressed through weighting values. The control unit continuously monitors and reconfigures power distribution according to changing user needs, allowing the system to adapt between energy-saving mode and comfort-oriented mode without requiring manual intervention for each adjustment.
Solution Approach 2:
The system changes the parameter of power allocation by modifying weighting values that represent user preferences. By adjusting these weighting parameters, the control unit can shift the balance between energy efficiency and user comfort, enabling flexible optimization based on varying operational conditions and user priorities.
2Ease of operation
If maximum power is allocated to all electrical consumers, then user comfort and performance are improved, but energy consumption increases
Solution Approach 1:
The system controls energy consumption by dynamically adjusting weighting values that determine the maximum power allocation to each electrical consumer. By modifying these parameters based on user preferences and operational conditions, the system optimizes the balance between providing sufficient power for comfort and performance while avoiding excessive energy consumption.
Solution Approach 2:
Instead of allocating maximum power to all consumers simultaneously, the system applies partial power allocation based on prioritized weighting values. Electrical consumers are served in a staged manner according to their importance weights, ensuring critical functions receive adequate power while less critical consumers receive reduced power during energy-constrained conditions.
3Use of energy by moving object
If power allocation is optimized for energy efficiency, then energy consumption is reduced, but user-specific needs and preferences are not considered
Solution Approach 1:
The system dynamically adapts power allocation to reflect user-specific needs by continuously adjusting weighting values. The control unit monitors user preferences and operational context, then reconfigures power distribution in real-time to match individual user requirements while maintaining overall energy efficiency through intelligent prioritization.
Solution Approach 2:
The system incorporates user adaptability by allowing weighting values to be modified based on user feedback and behavioral patterns. These parameter changes enable the system to learn and adapt to specific user preferences over time, providing personalized power allocation that balances energy efficiency with individual user needs.
Data Source
AI summary
At least one weighting value is determined in a manner that is influenced by a vehicle user. A maximum released power, which a predefined electrical consumer of the motor vehicle may consume, is determined as a function of the weighting value. The power consumption of the electrical consumer is controlled as a function of the maximum power that is released.