CN204732906U - A kind of super capacitor energy storage device based on solar energy acquisition wireless sensor network node - Google Patents
A kind of super capacitor energy storage device based on solar energy acquisition wireless sensor network node Download PDFInfo
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- CN204732906U CN204732906U CN201520333051.6U CN201520333051U CN204732906U CN 204732906 U CN204732906 U CN 204732906U CN 201520333051 U CN201520333051 U CN 201520333051U CN 204732906 U CN204732906 U CN 204732906U
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- super capacitor
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- network node
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Abstract
The utility model discloses a kind of super capacitor energy storage device based on solar energy acquisition wireless sensor network node, solar panel is connected with power-supply controller of electric, power-supply controller of electric is connected with super capacitor, microprocessor and DAC chip, and microprocessor is connected with DAC chip and light intensity sensor.The utility model advantage is the super capacitor using chargeable number of times higher, arrives with this object extending the super capacitor life-span; Design relevant optimized circuit simultaneously, accelerate the charging rate of super capacitor, namely the resistance that super capacitor two ends are in parallel suitable, use the MPPT module that power-supply controller of electric, microprocessor, light intensity sensor, DAC chip are formed, the chip oneself power consumption that module relates to is extremely low; Use single-chip microcomputer calculating voltage, accuracy is high; Differentiate that power and voltage relationship provide reference to disturbance, avoid perturbation direction mistake, variable step disturbance number of times reduces, and shortens the disturbance time.
Description
Technical field
The utility model relates to a kind of super capacitor energy storage device based on solar energy acquisition wireless sensor network node.
Background technology
Wireless sensor network is that a kind of development is rapid, and application prospect is network technology widely.It can apply to national defense and military, environmental monitoring, precision agriculture, Smart Home, urban transportation, the key areas such as health care.Because wireless sensor network node quantity is many, distribution is wide, and it is large or cannot obtain the feature of electric energy etc. from electrical network to change battery cost, the energy harvesting of node and store the principal element just becoming restriction node lifetime.Micro-Conversion of Energy of node surrounding environment can be electric energy by energy acquisition wireless sensor network, and the energy ezpenditure of supply node system is a kind of effective way extending node lifetime.Current use comparatively widely energy acquisition technology is solar energy acquisition technology, and main energy storing device is rechargeable battery.
, there is the problem of following two aspects in existing solar energy acquisition wireless sensor network node super capacitor energy storage device.In stored energy, use rechargeable battery, as lithium battery and lead accumulator etc., itself discharge and recharge number of times is relatively less; In solar energy acquisition, the power consumption of MPPT (maximum power tracing) module is more, and self algorithm exists certain deficiency, as more in: tracing module power consumption and disturbance length consuming time etc.
Utility model content
The purpose of this utility model overcomes the deficiencies in the prior art, provides a kind of super capacitor energy storage device based on solar energy acquisition wireless sensor network node.The utility model adopts following technical scheme in order to achieve the above object:
Based on a super capacitor energy storage device for solar energy acquisition wireless sensor network node, it is characterized in that:
Comprise solar panel, power-supply controller of electric, super capacitor, microprocessor, light intensity sensor and DAC chip;
Solar panel is connected with power-supply controller of electric, and power-supply controller of electric is connected with super capacitor, microprocessor and DAC chip, and microprocessor is connected with DAC chip and light intensity sensor.
Preferably, described solar panel adopts maximum output voltage to be the solar panel of 6V.
Preferably, described power-supply controller of electric adopts the BQ25504 power-supply controller of electric of TI company.
Preferably, described microprocessor has multichannel ADC module, SPI and I
2c serial communication modular, house dog and more than one clock source.
Preferably, described microprocessor adopts TI company MSP430RF2274 single-chip microcomputer.
Preferably, the maximum working voltage that described super capacitor adopts is 6V.
Preferably, described DAC chip adopts the TLV5638DAC chip of TI company.
Preferably, described light intensity sensor adopts the TSL2561 light intensity sensor of TAOS company, passes through I with described microprocessor
2c interface distant serial synchronous telecommunications.
Preferably, described power-supply controller of electric output voltage is 3V.
Preferably, the supply voltage of described microprocessor and described light intensity sensor is described power-supply controller of electric output voltage.
The super capacitor energy storage device advantage based on solar energy acquisition wireless sensor network node that the utility model provides is the super capacitor using chargeable number of times higher, arrives with this object extending the super capacitor life-span; Design relevant optimized circuit simultaneously, accelerate the charging rate of super capacitor, the resistance that namely super capacitor two ends are in parallel suitable.Use the MPPT module that power-supply controller of electric, microprocessor, light intensity sensor, DAC chip are formed, the chip oneself power consumption that module relates to is extremely low, and is combined with light intensity sensor by tracing algorithm, achieves the object of optimized algorithm.New algorithm energy consumption is low; Use single-chip microcomputer calculating voltage, accuracy is high; Differentiate that power and voltage relationship provide reference to disturbance, avoid perturbation direction mistake, variable step disturbance number of times reduces, and shortens the disturbance time.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide further understanding of the present utility model, forms a application's part, does not form improper restriction of the present utility model, in the accompanying drawings:
Fig. 1 is the utility model structured flowchart;
Fig. 2 is the utility model algorithm key step flow chart;
Fig. 3 is the utility model MPPT algorithm flow chart;
Fig. 4,5 is circuit theory diagrams of the present utility model.
Embodiment
Describe the utility model in detail below in conjunction with accompanying drawing and specific embodiment, be used for explaining the utility model with illustrative examples of the present utility model and explanation at this, but not as to restriction of the present utility model.
Embodiment:
As shown in Figure 1, a kind of super capacitor energy storage device based on solar energy acquisition wireless sensor network node, comprises solar panel 1, power-supply controller of electric 2, microprocessor 4, light intensity sensor 5, DAC chip 6 and super capacitor 3.Solar panel 1 is connected with power-supply controller of electric 2, and power-supply controller of electric 2 is connected with super capacitor 3, microprocessor 4 and DAC chip 6, and microprocessor 4 is connected with DAC chip 6 and light intensity sensor 5.
As Fig. 4 shows, described microprocessor 4 adopts the MSP430RF2274 single-chip microcomputer of TI company, pin " GND; VCC " is powered for MSP430, pin " UCB0SCL, UCB0SDA " is I2C bus pin, needs pull-up resistor simultaneously, for with light intensity sensor TSL2561 serial communication, be that sheet selects TSL2561 when pin " P2.7 " is set to; Pin " UCBOSDA, UCBOCLK, P2.6 " is three line spi bus pins, for the serial communication of DAC digital to analog converter.Owing to having plurality of communication schemes in MSP430F2274, so communicate at use " monitoring light intensity " I2C, " digital-to-analogue conversion DAC module " three line SPI serial communication, and " radio communication " four line communication, then reset related register because first selecting chip set pin " P2.7 " pin " P2.6 " pin " UCB0STE " respectively.Pin " A0, A1, A2 " is ADC passage, and ADC sampling adopts the sampling of multisequencing passage single pattern, can be drawn the output voltage of solar cell, can know output current by A1, A2 value and small resistor by A0, A1 value.
As Fig. 5 shows, described power-supply controller of electric 2 adopts the BQ25504 power-supply controller of electric of TI company.Power supervisor 2 is responsible for changing solar voltage into burning voltage through DC-DC dress and is exported, by solar panel cathode voltage after the filtering of pin " VIN_DC " input voltage; Pin " VOC_SAMP " inputs the solar panel maximum power output voltage U m of DAC chip feedback; Pin " VREF_SAMP " keeps the voltage signal of pin " VOC_SAMP "; Pin " VBAT_OV " and " VBAT_UV " programme the overvoltage threshold value of super capacitor both end voltage and under voltage threshold value; Pin " OK_HYST " and " OK_PROG " programme chip output voltage, and voltage output pin is " VBAT_OK ", and magnitude of voltage is 3V; Pin " OT_PROG " is programmed chip over-temperature degree threshold value; Pin " AVSS ", " VSS " ground connection; Pin " VBAT " connects super capacitor; The starting switch that pin " LBST " is chip.
Described light intensity sensor adopts TSL2561 light intensity sensor, and " VCC, GND " is energized for TSL2561; " ADDR SEL " puts ground; Pin " SDA, SCL " is I2C bus pin; Pin " INT " selects pin for sheet, communicates when putting 1.
Described DAC digital to analog converter adopts the TLV5638 chip of TI company.This chip accuracy is 10.Pin " VCC, AGND " is energized for TSL2561; Pin " DIN, SCLK " for three line SPI, because TLV5638 is in from machine, so there is no SOMI pin; Pin " ~ CS ", for sheet choosing, communicates when setting to 0.Pin " OUTB " exports changing voltage.When TLV5638 is when communicating, can receive 16 bit data bytes, the control bit wherein in 16 bit data word is D15 ... D11 ... D0 is new DAC value.
As Fig. 4 and Fig. 5 shows, power supply VCC is the output voltage of power-supply controller of electric, i.e. pin " VBAT_OK " output voltage.
The super capacitor energy storage device based on solar energy acquisition wireless sensor network node that the utility model provides: for the problem of stored energy aspect, use the super capacitor that chargeable number of times is higher, arrives with this object extending node lifetime.Design relevant optimized circuit simultaneously, accelerate the charging rate of super capacitor, the resistance that namely super capacitor two ends are in parallel suitable.For the problem of solar energy acquisition aspect, in order to reduce the energy consumption of MPPT module, selecting the chip that oneself power consumption is extremely low, simultaneously by the method optimizing MPPT algorithm of software and hardware combining, reducing the additional energy consumption that algorithm is followed the trail of.Tracing algorithm is on the basis of disturbance observation, by determining the acquisition and processing of time point to surrounding environment light intensity information, judge the situation of change that between adjacent time point, solar panel exports, determine the output voltage of each time point solar panel, avoid the additional energy consumption of MPPT real-time tracing, ensure that tracking precision simultaneously.
Concrete algorithm steps (flow chart is shown in Fig. 2) as described below:
1, microprocessor (4) carries out maximum power tracing; (tracing algorithm describes after key step)
2, microprocessor (4) calculates gained solar panel peak power output voltage by step 1, by DAC chip (6), magnitude of voltage is fed back to power-supply controller of electric (2), power-supply controller of electric (2) makes solar panel (1) keep maximum power output;
3, light intensity sensor (5) detects the light intensity S in this moment
i;
4, microprocessor (4) timer timing, control delay time is T
1(initial value is 15min);
6, microprocessor (4) judges light intensity S
1with light intensity S
2the absolute value of difference whether be more than or equal to 2000Lx; When the absolute value of difference is greater than 2000Lx, refer at T
1in the time interval, environment illumination intensity changes greatly, and solar panel maximum power output change in voltage is comparatively large, needs again to follow the trail of, and microprocessor (4) changes T
1, make T
1=5min also returns step 1; When the absolute value of difference is less than 2000Lx, refer at T
1in the time interval, environment illumination intensity change is less, and solar panel maximum power output change in voltage is less, does not need again to follow the trail of, and microprocessor (4) changes T
1, make T
1=15min also returns step 3.
MPPT algorithm step (flow chart is shown in Fig. 3) as described below:
1, microprocessor (4) gathers solar panel (1) open circuit voltage U
iwith short circuit current I
i;
2, microprocessor (4) timer timing, control timing time is 10s; Microprocessor (2) gathers the actual U of solar panel
i+1with actual current I
i+1, calculate P respectively
i, P
i+1;
3, microprocessor (4) compares P
i, P
i+1the absolute value of difference whether be less than ε (ε=0.01P
max).The absolute value of being on duty is less than ε, then carry out step 4; The absolute value of being on duty is greater than ε, then carry out step 5;
4, DAC chip (6) is by U
ifeed back to power-supply controller of electric (2), algorithm terminates;
Whether the ratio that 5, microprocessor (4) compares difference power and voltage difference is greater than 0.If be greater than 0, then use P
iby P
i+1replace, do
computing, carry out step 6; If be less than 0, then use P
iby P
i+1replace, do
computing, carries out step 6 (α=1.When open-circuit voltage values is excessive, α can suitably become large; When open-circuit voltage values is less, α can suitably diminish);
6, DAC chip (6) is by U
i+1output to power-supply controller of electric (2);
7, microprocessor (4) microcontroller acquires I
i+1and with U in step 6
i+1obtain P
i+1, return step 3.
Above the technical scheme that the utility model embodiment provides is described in detail, apply specific case herein to set forth the principle of the utility model embodiment and execution mode, the explanation of above embodiment is only applicable to the principle helping to understand the utility model embodiment; Meanwhile, for one of ordinary skill in the art, according to the utility model embodiment, embodiment and range of application all will change, and in sum, this description should not be construed as restriction of the present utility model.
Claims (10)
1., based on a super capacitor energy storage device for solar energy acquisition wireless sensor network node, it is characterized in that:
Comprise solar panel (1), power-supply controller of electric (2), super capacitor (3), microprocessor (4), light intensity sensor (5) and DAC chip (6);
Solar panel (1) is connected with power-supply controller of electric (2), power-supply controller of electric (2) is connected with super capacitor (3), microprocessor (4) and DAC chip (6), and microprocessor (4) is connected with DAC chip (6) and light intensity sensor (5).
2. as claimed in claim 1 based on the super capacitor energy storage device of solar energy acquisition wireless sensor network node, it is characterized in that: described solar panel (1) adopts maximum output voltage to be the solar panel of 6V.
3. as claimed in claim 1 based on the super capacitor energy storage device of solar energy acquisition wireless sensor network node, it is characterized in that: described power-supply controller of electric (2) adopts the BQ25504 power-supply controller of electric of TI company.
4., as claimed in claim 1 based on the super capacitor energy storage device of solar energy acquisition wireless sensor network node, it is characterized in that: described microprocessor (4) has multichannel ADC module, SPI and I
2c serial communication modular, house dog and more than one clock source.
5. as claimed in claim 1 based on the super capacitor energy storage device of solar energy acquisition wireless sensor network node, it is characterized in that: described microprocessor (4) adopts TI company MSP430RF2274 single-chip microcomputer.
6., as claimed in claim 1 based on the super capacitor energy storage device of solar energy acquisition wireless sensor network node, it is characterized in that: the maximum working voltage that described super capacitor (3) adopts is 6V.
7. as claimed in claim 1 based on the super capacitor energy storage device of solar energy acquisition wireless sensor network node, it is characterized in that: described DAC chip (6) adopts the TLV5638DAC chip of TI company.
8. as claimed in claim 1 based on the super capacitor energy storage device of solar energy acquisition wireless sensor network node, it is characterized in that: described light intensity sensor (5) adopts the TSL2561 light intensity sensor of TAOS company, passes through I with described microprocessor (4)
2c interface distant serial synchronous telecommunications.
9., as claimed in claim 1 based on the super capacitor energy storage device of solar energy acquisition wireless sensor network node, it is characterized in that: described power-supply controller of electric (2) output voltage is 3V.
10., as claimed in claim 1 based on the super capacitor energy storage device of solar energy acquisition wireless sensor network node, it is characterized in that: the supply voltage of described microprocessor (4) and described light intensity sensor (5) is described power-supply controller of electric (2) output voltage.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106502276A (en) * | 2016-10-21 | 2017-03-15 | 广州大学 | Solar energy acquisition method and system based on energy acquisition wireless sensor network node |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN106502276A (en) * | 2016-10-21 | 2017-03-15 | 广州大学 | Solar energy acquisition method and system based on energy acquisition wireless sensor network node |
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