A multi-modal intelligent medical power supply system

Abstract

The utility model relates to a kind of multi-modal intelligent medical power supply system, belong to power supply technical field, including MCU and peripheral configuration circuit, the module carries out multidimensional monitoring: real-time acquisition battery SOH, environmental temperature, harmonic distortion rate and the like parameter;It simultaneously includes bidirectional DCDC module, bidirectional DCAC module and energy storage battery, the module is used for photovoltaic MPPT, realizes off-grid switching and black start function, while supporting peak-valley scheduling;While system uses CAN bus communication, supports N+1 redundancy, ID is automatically distributed and synchronously controlled parameter.The utility model solves the existing technology cannot realize seamless switching UPS when medical equipment power grid fails, the problem that intelligentization of monitoring is insufficient, modularization is insufficient and leads to expansion adaptation various power demand range, and the problem that energy efficiency cost is too high etc.Compared with prior art, provide standardized, intelligent, high compatibility power supply solution.

Description

Technical Field

[0001] This utility model relates to the field of power supply technology, specifically a multimodal intelligent medical power supply system. Background Technology

[0002] Existing medical power supply systems have the following drawbacks:

[0003] UPS switching during power grid failures carries the risk of interruption, potentially causing medical equipment to shut down.

[0004] The monitoring function is limited and cannot assess battery health and grid power quality in real time.

[0005] It has a low degree of modularity, making it difficult to flexibly expand its capacity according to the hospital's load requirements;

[0006] Insufficient energy utilization rate; failure to implement peak-valley electricity pricing management and access to new energy sources.

[0007] It has poor compatibility and cannot meet the power supply interface requirements of various medical devices. Utility Model Content

[0008] In view of the problems existing in the prior art, this utility model proposes a multimodal intelligent medical power supply system, which solves the problems mentioned in the background art.

[0009] To achieve the above objectives, this utility model provides the following technical solution:

[0010] A multimodal intelligent medical power supply system includes a controller module, an MPPT module, a bidirectional DC-DC module, a bidirectional DCAC module, a PC terminal, and a lithium iron phosphate battery. The controller module is connected to the PC terminal, the bidirectional DC-DC module, and the bidirectional DCAC module. The MPPT module is connected to a photovoltaic module and the bidirectional DC-DC module. The bidirectional DC-DC module is also connected to the lithium iron phosphate battery and the bidirectional DCAC module. The bidirectional DCAC module is also connected to the power grid.

[0011] As a further technical solution of this utility model: the controller module includes an MCU, a 5G wireless communication module and a WIFI module, and the MCU is connected to the 5G wireless communication module and the WIFI module respectively.

[0012] As a further technical solution of this utility model: the bidirectional DCAC module adopts a four-switch converter circuit, including power MOSFET Q1, power MOSFET Q2, power MOSFET Q3, power MOSFET Q4, inductor L1, inductor L2 and capacitor C. The drain of power MOSFET Q1 is connected to the drain of power MOSFET Q3, the source of power MOSFET Q1 is connected to the drain of inductor L1 and power MOSFET Q2, the source of power MOSFET Q3 is connected to capacitor C and the drain of power MOSFET Q4, the source of power MOSFET Q2 is connected to the source of power MOSFET Q4 and ground, and the other end of inductor L1 is connected to the other end of capacitor C and inductor L2.

[0013] As a further technical solution of this utility model: the bidirectional DC-DC module includes power MOSFET Q5, power MOSFET Q6, power MOSFET Q7, power MOSFET Q8 and inductor L. The source of power MOSFET Q5 is connected to inductor L and drain of power MOSFET Q2. The source of power MOSFET Q2 is connected to the source of power MOSFET Q4 and ground. The drain of power MOSFET Q4 is connected to the other end of inductor L and source of power MOSFET Q3. The drain of power MOSFET Q1 is connected to battery terminal VBAT. The drain of power MOSFET Q3 is connected to output terminal VBUS.

[0014] As a further technical solution of this utility model: the MPPT module includes a battery SOH monitoring circuit, an ambient temperature monitoring circuit, a harmonic distortion rate monitoring circuit, and a system operation status monitoring circuit.

[0015] As a further technical solution of this utility model: the ambient temperature monitoring circuit adopts a digital temperature sensor DS18B20, which is installed near the energy storage battery pack or on the heat sink of the power device, and is connected to the MCU through a single bus.

[0016] The technical effects and advantages provided by this utility model in the above technical solution are as follows:

[0017] 1. Zero-interruption power supply guarantee: Seamless switching between grid connection and off-grid operation and black start function ensure instantaneous switching to energy storage power supply mode in the event of grid failure, avoiding the risk of medical equipment shutdown.

[0018] 2. Multi-energy coordinated dispatch: Integrating photovoltaic MPPT, wind power generation, battery energy storage, and grid feedback technologies, it supports reverse power grid feeding and dynamic peak-valley dispatch, improving photovoltaic utilization while reducing electricity costs.

[0019] 3. Flexible power supply in multiple modes: Supports outdoor medical missions, with multiple AC / DC output channels, compatible with different voltage levels and interface standards, and can adapt to the power supply needs of various medical devices such as ventilators.

[0020] 4. Flexible expansion architecture: Modular design combined with CAN bus communication supports plug-and-play and N+1 redundancy expansion to adapt to different power requirements.

[0021] 5. Upper computer intelligent monitoring and control platform: multi-dimensional monitoring and control, real-time acquisition of parameters such as battery voltage, ambient temperature, and system operating status, and real-time monitoring and control of the system. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a structural block diagram of a multimodal intelligent medical power supply system;

[0024] Figure 2 This is the circuit diagram of a bidirectional DCAC module.

[0025] Figure 3 This is the circuit diagram of a bidirectional DC-DC module.

[0026] Figure 4 This is a CAN bus communication circuit diagram. Detailed Implementation

[0027] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0028] It should be noted that the terms "vertical," "horizontal," "up," "down," "left," "right," and similar expressions used in this article are for illustrative purposes only and do not represent the only possible implementation.

[0029] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains; the terminology used herein in the description of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention; the term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0030] Example 1, as Figure 1 As shown, this utility model provides a multimodal intelligent medical power supply system, including:

[0031] MCU control unit, used for overall system logic control and parameter coordination;

[0032] The bidirectional DC-DC module connects the energy storage battery and the DC bus to achieve bidirectional power conversion and photovoltaic MPPT control.

[0033] The bidirectional DCAC module connects the DC bus to the power grid, enabling off-grid / on-grid switching, black start, and energy feedback.

[0034] Energy storage battery packs are used for energy storage and backup power supply;

[0035] Multi-dimensional monitoring circuitry collects real-time battery SOH, ambient temperature, harmonic distortion rate and system operating status parameters;

[0036] The CAN bus communication module supports modular N+1 redundancy and automatic ID allocation;

[0037] 5G / WIFI wireless communication module, used for remote data transmission and electricity price information acquisition;

[0038] The system uses MCU control to achieve seamless UPS switching during power grid failures, multi-energy collaborative scheduling, peak-valley electricity price management, and modular flexible capacity expansion.

[0039] Example 2, based on Example 1, such as Figure 2 As shown, the bidirectional DC-DC module adopts a bidirectional DC-DC four-switch converter circuit. This design not only effectively reduces the conduction losses of power devices and improves circuit efficiency, but also lays the foundation for multi-energy coordinated dispatch. The circuit mainly consists of four power MOSFETs (Q5, Q6, Q7, Q8), inductor L, input capacitor Cin, and output capacitor Cout.

[0040] In forward operation mode, when supplying power from the energy storage battery to the DC bus, the switching timing of the MOSFETs is controlled to allow the inductor L to store energy and then release it to the DC bus. Taking MOSFETs Q5 and Q8 as an example, current flows from the positive terminal of the energy storage battery, through Q5, inductor L, and the load, before returning to the negative terminal of the energy storage battery, where inductor L stores energy. When Q5 and Q8 are off and Q6 and Q7 are on, inductor L releases energy to maintain power supply to the load. In reverse operation mode, when charging the energy storage battery from the DC bus, the charging current is adjusted by controlling the duty cycle of the MOSFETs. In photovoltaic MPPT scenarios, this module can efficiently convert the unstable DC power output from the photovoltaic panel into a stable voltage adapted to the DC bus, achieving effective utilization of solar energy. When the energy storage battery has excess energy, this module can also feed the energy back to the grid.

[0041] Example 3, based on Example 1, such as Figure 3 As shown, the bidirectional DCAC module adopts a full-bridge inverter topology combined with an LCL filter circuit to achieve bidirectional DC-to-AC conversion and power quality optimization. The full-bridge inverter circuit consists of four MOSFETs (Q1, Q2, Q3, Q4), and the LCL filter circuit consists of inverter-side inductor L1, grid-side inductor L2, and filter capacitor C.

[0042] In off-grid mode, to meet the flexible power supply needs of various modes such as outdoor medical missions, the MCU controls the switching of MOSFETs to invert the DC power from the DC bus into AC power, supplying power to various medical devices such as ventilators. SVPWM (Space Vector Pulse Width Modulation) technology is used to generate drive signals, precisely controlling the on and off times of the MOSFETs to output a stable sinusoidal AC power. Voltage and current sensors are used to collect output voltage and current in real time, and closed-loop control is used to adjust the modulation parameters of SVPWM to ensure stable amplitude and frequency of the output voltage, adapting to the power supply requirements of different medical devices.

[0043] In grid-connected mode, it operates as a grid-connected inverter, acquiring phase and frequency information of the grid voltage through a phase-locked loop (PLL) circuit to ensure that the output AC power is synchronized with the grid voltage in phase, frequency, and amplitude. Based on power commands, it adjusts the switching duty cycle of the MOSFETs to control the magnitude and direction of the grid-connected current, enabling bidirectional energy flow and participating in peak-valley dynamic scheduling. During periods of low electricity prices, it absorbs energy from the grid to charge the energy storage battery, and during periods of high electricity prices, it feeds the energy from the energy storage battery back into the grid or powers medical equipment.

[0044] Example 4, based on Example 1, includes a multi-dimensional monitoring circuit (MPPT) comprising a battery SOH monitoring circuit, an ambient temperature monitoring circuit, a harmonic distortion rate monitoring circuit, and a system operating status monitoring circuit, providing data support for the host computer intelligent monitoring and control platform.

[0045] The battery SOH monitoring circuit employs a Kalman filter algorithm combined with battery impedance detection. A high-precision current sensor acquires the battery's charging and discharging current, and a voltage sensor acquires the battery's terminal voltage. This data is transmitted to the MCU. The MCU uses the Kalman filter algorithm to process the current and voltage data, estimating the battery's remaining capacity (SOC) in real time. It also measures the battery's AC impedance using an AC injection method. Combined with parameters such as the number of charge-discharge cycles, the circuit comprehensively assesses the battery's state of health (SOH).

[0046] The ambient temperature monitoring circuit uses a DS18B20 digital temperature sensor, installed in critical parts of the power system, such as near the energy storage battery pack or on the heat sinks of power devices. It connects to the MCU via a single bus to collect ambient temperature data in real time and transmit it to the MCU. When the temperature exceeds a set threshold, the MCU controls the cooling fan to start or takes other heat dissipation measures to ensure that the system operates within the normal temperature range.

[0047] The harmonic distortion rate monitoring circuit employs a harmonic analysis method based on Fourier transform. It acquires voltage and current signals from the AC side using voltage and current transformers, converts them into digital signals, and inputs them to the MCU. The MCU uses a Fast Fourier Transform (FFT) algorithm to perform spectral analysis on the signal, calculates the content of each harmonic, obtains the harmonic distortion rate, and determines whether the power quality of the power grid or the output power quality of the power system meets the standards.

[0048] The system operation status monitoring circuit collects the operating parameters of the bidirectional DC-DC module and the bidirectional DC-AC module in real time, as well as the output status information of the photovoltaic panel and wind power generation device, and uploads them to the MCU to provide comprehensive data for the host computer to realize real-time monitoring and control of the system.

[0049] Example 5, based on Example 1, such as Figure 4 As shown, the CAN bus communication circuit uses TJA1050 as the CAN bus transceiver. Its TXD and RXD pins are connected to the CAN communication interface of the MCU, and the CANH and CANL pins are connected to the CAN bus through a 120Ω terminating resistor to realize communication between multiple modules.

[0050] Based on a modular design and flexible expansion architecture, each module's CAN bus communication circuit is equipped with an independent CAN controller and transceiver, supporting plug-and-play and N+1 redundancy expansion. When a module fails, other modules can automatically take over its communication tasks, ensuring normal system operation. When modules are connected to the system, the MCU assigns a unique CANID to each module according to a specific algorithm and synchronizes control parameters to ensure coordinated operation between modules, adapting to medical scenarios with different power requirements.

[0051] Specific implementation method:

[0052] (I) Implementation method of off-grid and on-grid switching

[0053] Off-grid switching is achieved by detecting the grid status and DC bus voltage, combined with MCU logic control. During normal system operation, the bidirectional DCAC module is in grid-connected mode, monitoring the magnitude, frequency, and phase of the grid voltage in real time. When an abnormal grid voltage is detected (such as voltage amplitude exceeding the set range, excessive frequency deviation, or power outage), the MCU triggers the off-grid switching procedure.

[0054] First, the MCU controls the bidirectional DC-AC module to stop feeding power to the grid and gradually adjusts the phase and frequency of its output voltage to match the phase and frequency of the AC power converted from the DC bus voltage supplied by the energy storage battery. Then, by controlling the relay switching circuit, the power supply for the medical equipment is switched from the grid to the energy storage battery, achieving a seamless switch and ensuring uninterrupted operation of the medical equipment.

[0055] Once the power grid returns to normal, the MCU re-detects the grid voltage. When the grid voltage stabilizes and meets the grid connection requirements, it controls the bidirectional DCAC module to initiate the grid connection pre-synchronization program. A phase-locked loop (PLL) precisely synchronizes the output AC power with the grid voltage in phase, frequency, and amplitude. Then, it controls a relay switching circuit to switch the power supply for the medical equipment back from the energy storage battery to the grid. Simultaneously, the bidirectional DCAC module begins feeding power to the grid or absorbing power from the grid, achieving grid-connected operation.

[0056] (II) Implementation method of black start function

[0057] The black-start function utilizes the energy storage battery to start the power system and supply power to the medical equipment in the event of a complete power grid outage. When a power grid outage is detected, the MCU first controls the bidirectional DC-DC module to start, converting the energy from the energy storage battery into the voltage required by the DC bus to power the bidirectional DC-AC module and other control circuits.

[0058] Then, the MCU controls the bidirectional DCAC module to start, using SVPWM technology to invert the DC power from the DC bus into AC power, and gradually adjusts the amplitude, frequency, and phase of the output voltage to meet the power supply requirements of the medical equipment. During the black start process, the MCU monitors the system's operating status in real time to ensure stable startup and operation of the power system. Simultaneously, when the grid power supply is restored, the system can automatically switch to grid-connected mode, achieving a smooth transition from black start to normal grid-connected operation.

[0059] III. Implementation of Peak-Valley Scheduling Function

[0060] Peak-valley dispatching is achieved by real-time monitoring of grid electricity prices and the SOC (State of Charge) of energy storage batteries, combined with the intelligent control strategy of the MCU (Microcontroller Unit). The system obtains real-time electricity price information from the grid operator via a 5G wireless communication module or a Wi-Fi module and stores it in the MCU's memory. Simultaneously, the MCU monitors the SOC of the energy storage batteries in real time.

[0061] During off-peak electricity periods, when the SOC of the energy storage battery is below a set value, the MCU controls the bidirectional DC-AC module to absorb power from the grid and charge the energy storage battery through the bidirectional DC-DC module, storing the low-cost energy from the off-peak period. During peak electricity periods, when the power demand of medical equipment is high, the MCU controls the energy storage battery to supply power to the medical equipment through the bidirectional DC-DC module and the bidirectional DC-AC module, reducing the amount of electricity purchased from the grid and lowering electricity costs.

[0062] Furthermore, the MCU can optimize peak-valley scheduling strategies based on the power load forecast of medical devices and the SOC status of energy storage batteries. For example, if it is predicted that the power load of medical devices will be high in the near future and the electricity price will be at its peak, the energy storage batteries can be fully charged in advance during off-peak hours; if it is predicted that the SOC of the energy storage batteries cannot meet the power demand during peak hours, the charging strategy can be adjusted appropriately to ensure the normal power supply to medical devices.

[0063] It will be apparent to those skilled in the art that this invention is not limited to the details of the exemplary embodiments described above, and that it can be implemented in other specific forms without departing from the spirit or essential characteristics of this invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of this invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within this invention.

[0064] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This way of describing the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment have been appropriately combined to form other embodiments that are easy for those skilled in the art to understand.

Claims

1. A multimodal intelligent medical power supply system, characterized in that, It includes a controller module, an MPPT module, a bidirectional DC-DC module, a bidirectional DCAC module, a PC terminal, and a lithium iron phosphate battery. The controller module is connected to the PC terminal, the bidirectional DC-DC module, and the bidirectional DCAC module. The MPPT module is connected to the photovoltaic module and the bidirectional DC-DC module. The bidirectional DC-DC module is also connected to the lithium iron phosphate battery and the bidirectional DCAC module. The bidirectional DCAC module is also connected to the power grid. The bidirectional DCAC module adopts a four-switch converter circuit, including power MOSFET Q1, power MOSFET Q2, power MOSFET Q3, power MOSFET Q4, inductor L1, inductor L2 and capacitor C. The drain of power MOSFET Q1 is connected to the drain of power MOSFET Q3, the source of power MOSFET Q1 is connected to the drain of inductor L1 and power MOSFET Q2, the source of power MOSFET Q3 is connected to capacitor C and the drain of power MOSFET Q4, the source of power MOSFET Q2 is connected to the source of power MOSFET Q4 and ground, and the other end of inductor L1 is connected to the other end of capacitor C and inductor L2. The bidirectional DC-DC module includes power MOSFETs Q5, Q6, Q7, and Q8, and an inductor L. The source of power MOSFET Q5 is connected to the inductor L and the drain of power MOSFET Q2. The source of power MOSFET Q2 is connected to the source of power MOSFET Q4 and the ground terminal. The drain of power MOSFET Q4 is connected to the other end of inductor L and the source of power MOSFET Q3. The drain of power MOSFET Q1 is connected to the battery terminal VBAT, and the drain of power MOSFET Q3 is connected to the output terminal VBUS.

2. The multimodal intelligent medical power supply system according to claim 1, characterized in that: The controller module includes an MCU, a 5G wireless communication module, and a WIFI module, with the MCU connected to both the 5G wireless communication module and the WIFI module.

3. The multimodal intelligent medical power supply system according to claim 1, characterized in that: The MPPT module includes a battery SOH monitoring circuit, an ambient temperature monitoring circuit, a harmonic distortion rate monitoring circuit, and a system operating status monitoring circuit.

4. The multimodal intelligent medical power supply system according to claim 3, characterized in that: The ambient temperature monitoring circuit uses a DS18B20 digital temperature sensor, which is installed near the energy storage battery pack or on the heat sink of the power device and is connected to the MCU via a single bus.

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