Battery Management Scheduling for Wireless Task Coordination
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Solution Overview
Problem
Existing battery management systems face challenges in efficiently utilizing limited resources due to synchronized task performance and communication among multiple battery management systems, leading to idle times and reduced work efficiency.
Innovation Solution
A battery management system that includes a task information storage unit, a schedule determination unit, and a priority changing unit to determine and adjust work schedules and priorities based on stored task data, allowing for efficient use of resources without requiring hardware changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple battery management systems perform tasks synchronously and communicate wirelessly, then task coordination is simplified, but resource utilization efficiency deteriorates due to idle times
Solution Approach 1:
The patent implements dynamic task scheduling where the master battery management system adjusts the operation schedules of slave systems based on real-time resource availability and task priorities. Instead of fixed synchronous execution, tasks are allocated dynamically to avoid idle times while maintaining coordination through centralized schedule management.
Solution Approach 2:
The system employs feedback mechanisms where slave battery management systems report their task completion status and resource availability to the master system. The master system uses this feedback to adjust and optimize the overall task schedule, ensuring efficient resource utilization while maintaining coordinated operation across all systems.
2Device complexity
If fixed work schedules are used for tasks, then scheduling is simple, but work efficiency deteriorates due to inability to adapt to changing conditions
Solution Approach 1:
The patent transitions from static fixed schedules to dynamic adaptive scheduling. The master battery management system continuously monitors task progress and system conditions, adjusting work schedules in real-time to optimize efficiency while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The system changes scheduling parameters dynamically based on task priorities, resource availability, and system state. Instead of fixed time allocations, the patent adjusts task execution parameters adaptively, allowing the system to respond to changing conditions while maintaining overall scheduling coherence through centralized control.
Data Source
AI summary
A battery management system in which each of a plurality of battery management systems performs an individual task and transmits results of the tasks to a master battery management system wirelessly, the battery management system including: a task information storage unit including a list of tasks performed by each of the plurality of battery management systems, the performance time, performance cycle, and work priority of each task included in the list of tasks, and the communication priority among the plurality of battery management systems, a schedule determination unit configured to determine a work schedule on the basis of data stored in the task information storage unit, and a priority changing unit configured to adjust the work priority of a task based on the work schedule determined by the schedule determination unit, wherein the schedule determination unit is further configured to adjust the work schedule according to the adjusted work priority.