ECMO Power Management Using Predictive Charge Duty Control
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Solution Overview
Problem
Existing power management systems for life support devices like ECMO equipment fail to prevent premature power cutoff due to overload protection when external energy storage power supplies are insufficient, leading to reduced endurance and potential performance issues.
Innovation Solution
A power management method and system that includes real-time monitoring and predictive algorithms to adjust battery charging duty cycles, switch power sources, and manage battery power levels to prevent overload, ensuring continuous operation of ECMO devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the external energy storage power supply is used to power the device, then the device can operate without 220V AC power, but the power supply will be cut off due to overload protection when the power required exceeds the power the external power supply can provide
Solution Approach 1:
The system performs preliminary actions by reducing the charging power duty cycle of batteries before the external power supply reaches its overload limit. The prediction algorithm anticipates the overload protection trigger point and proactively adjusts battery charging parameters to prevent the power supply from being cut off, ensuring continuous operation of the life support device.
Solution Approach 2:
The system implements feedback by continuously monitoring the external power supply voltage and using prediction algorithms to forecast when overload protection will be triggered. Based on this feedback loop, the system dynamically adjusts the battery charging duty cycle to maintain power supply stability and prevent premature cutoff.
2Duration of action of moving object
If the charging power duty cycle of batteries is reduced to prevent overload protection, then the power supply endurance is extended, but the battery power levels may be insufficient
Solution Approach 1:
The system applies dynamics by making the battery charging duty cycle adjustable rather than fixed. The prediction algorithm continuously monitors external power supply status and dynamically adjusts the charging parameters in real-time, optimizing the balance between extending power supply endurance and maintaining sufficient battery power levels for life support operations.
Data Source
AI summary
A power management method, system, device and medium for life support equipment, when it is detected that the power of the external energy storage power supply is insufficient to power the whole device, the charging power of the battery is reduced by adjusting the duty cycle. At the same time, a prediction algorithm is added when adjusting the duty cycle to reduce the probability of the external energy storage power supply triggering overload protection. In this way, when the power of the external energy storage power supply is insufficient, it can ensure that the internal battery has more power, thereby improving the endurance of the ECMO device when transferring patients and better ensuring the life safety of patients.