Elevator Car Mover Intelligent Battery State of Charge Control
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Solution Overview
Problem
Autonomous elevator car movers face operational delays due to depleted power, as existing systems lack effective monitoring and control mechanisms to manage the state of charge (SOC) of their power supplies, leading to inefficient power management and potential service disruptions.
Innovation Solution
A car mover system equipped with a power supply and controllers that monitor the SOC, executing health monitor protocols to adjust motion control parameters and direct the car mover to park or charge, ensuring proactive and reactive power management by adjusting dispatching requirements and directing the car mover to charging stations based on SOC levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the car mover operates autonomously without SOC monitoring, then the system complexity is reduced, but operational delays occur due to depleted power
Solution Approach 1:
The system performs preliminary action by monitoring the state of charge (SOC) in advance and executing health monitor protocols before power depletion occurs. The controller proactively adjusts motion control parameters and directs the car mover to charging stations based on predicted power needs, preventing operational delays before they happen.
Solution Approach 2:
The system implements feedback through continuous SOC monitoring and health monitor protocols. The controller receives feedback on power levels and automatically adjusts dispatching requirements, motion parameters, and charging schedules, creating a closed-loop control system that prevents power-related operational delays.
2Productivity
If the car mover implements comprehensive SOC monitoring and control protocols, then power management efficiency is improved, but device complexity increases
Solution Approach 1:
The car mover implements self-service through autonomous health monitor protocols and self-directed charging. The controller automatically monitors SOC, adjusts motion parameters, and navigates to charging stations without external intervention, improving power management efficiency while the automation masks the underlying complexity.
Solution Approach 2:
The system applies dynamics by continuously adapting motion control parameters based on real-time SOC conditions. The controller dynamically adjusts velocity, acceleration, and routing decisions to optimize power consumption, allowing efficient power management through flexible, condition-based control rather than rigid complex systems.
3Use of energy by moving object
If the car mover adjusts motion control parameters proactively, then power utilization is optimized, but operational flexibility is reduced
Solution Approach 1:
The system maintains operational flexibility through dynamic parameter adjustment. Rather than fixed constraints, the controller adaptively modifies motion parameters like velocity and acceleration based on current SOC and operational conditions, optimizing power utilization while preserving the ability to respond to varying service demands.
Solution Approach 2:
The system optimizes power utilization through parameter changes in motion control. By adjusting velocity profiles, acceleration rates, and routing parameters based on SOC levels, the system achieves efficient power consumption while maintaining operational versatility through conditional parameter modification rather than rigid constraints.
4Duration of action of moving object
If the car mover directs itself to charging stations, then charging downtime is reduced, but loss of information about optimal charging timing increases
Solution Approach 1:
The system prevents information loss through continuous feedback on SOC levels and charging station availability. The health monitor protocols provide real-time data on power status, and the controller uses this feedback to make informed decisions about optimal charging timing, balancing proactive charging with operational needs.
Solution Approach 2:
The system performs preliminary action by monitoring SOC and identifying optimal charging opportunities before power depletion occurs. The controller proactively schedules charging events based on predicted power needs and station availability, reducing charging downtime while maintaining information about optimal timing through advance planning.
Data Source
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AI summary
Disclosed is a car mover, configured to move an elevator car in lane of a hoistway, having: a power supply configured to power one or more motors to drive a respective one or more wheels; a car mover controller operationally connected to the power supply and a supervisory controller operationally connected to the car mover controller, wherein the car mover controller and the supervisory controller are configured to execute health monitor protocols to thereby: monitor a state of charge (SOC) of the power supply; and control the car mover in response to determining that the power supply is in a low SOC.