CN104009520A - Intelligent control and management method for storage batteries - Google Patents
Intelligent control and management method for storage batteries Download PDFInfo
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- CN104009520A CN104009520A CN201410187895.4A CN201410187895A CN104009520A CN 104009520 A CN104009520 A CN 104009520A CN 201410187895 A CN201410187895 A CN 201410187895A CN 104009520 A CN104009520 A CN 104009520A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The invention relates to an intelligent control and management method for storage batteries. According to the method, a ZigBee control terminal is adopted for an intelligent controller module to control several storage battery sets of a whole system to work coordinately, a ZigBee receiving and transmitting unit in a ZigBee coordinator is in communication with ZigBee terminal nodes in a wireless mode, the ZigBee terminal nodes monitor and judge the storage battery sets in real time and controls charging and discharging, and all ZigBee terminals are controlled through the ZigBee coordinator to manage the storage batteries. It is guaranteed that while the system outputs electric energy normally according to requirements, charging and discharging optimization of all the storage batteries is considered, the service life of the storage battery sets is prolonged, the technology of the internet of things is applied to intelligent control over the storage batteries, and therefore the storage battery sets are managed efficiently, monitored in a remote mode and overhauled in time.
Description
Technical field
The present invention relates to a kind of control system for accumulators, particularly a kind of distributed storage battery Based Intelligent Control management method based on FUZZY ALGORITHMS FOR CONTROL towards standing wind power generator.
Background technology
When coordinating standing wind power generator externally to power, traditional system is less for the management of storage battery, general whole output voltage and the electric current of battery pack are measured, control, for monoblock battery, do not carry out detection management, and a kind of vicious circle that the actual effect of batteries starts from monolithic battery malfunction often, especially long for service time but be no more than the batteries of useful life, therefore for the operational factor of monolithic storage battery, carry out on-line monitoring, that pinpoints the problems in time and become is very important, in this patent, the powered operation of batteries is undertaken by the good battery of several operating states, after can being first full of electric energy, the storage battery that electric weight is low carries out again work, can prevent like this that accumulator super-charge from crossing puts, can promote stability and the increasing storage battery service life of whole system.
Summary of the invention
The present invention be directed to the weak problem of the low management of existing working efficiency of accumulator, proposed a kind of intelligent accummulator control and management method, batteries management is refine to single battery, realize electric energy allocation optimum.
Technical scheme of the present invention is: a kind of intelligent accummulator control and management method, is characterized in that specifically comprising the steps:
1) set up intelligent accummulator control and management system: distributed standing wind power generator accumulators provides electric energy, every group storage battery band one ZigBee terminal, several ZigBee terminals are by wireless mode and the communication of ZigBee telegon;
2) current performance data of ZigBee terminal collection storage battery send ZigBee telegon, whether detect battery-operated voltage, charging or discharging current over setting limit value simultaneously, as surpass, ZigBee terminal changes PWM pulsewidth, change discharging and recharging of storage battery, avoid accumulator super-charge to cross and put;
3) electric weight of ZigBee telegon logarithm group storage battery distributes, adopt and be first full of the principle of first using, allow the storage battery supplying power for outside of having substituted the bad for the good, in the situation that total electric weight is inadequate, can use the storage battery supplying power for outside being partly full of, not use no charging or dump energy to be less than the storage battery of limit value;
4) ZigBee telegon is by transducer collection power supply object instructions for use signal, and the residual capacity of power supply object instructions for use signal and storage battery is inputted as fuzzy controller, and fuzzy controller output is as the conditioning signal of storage battery supplying power for outside.
Beneficial effect of the present invention is: intelligent accummulator control and management method of the present invention, by ZigBee telegon, controlling each ZigBee terminal manages storage battery, when normally exporting electric energy as requested, safeguards system takes into account the optimization that discharges and recharges of each storage battery, extend batteries useful life, technology of Internet of things is applied in intelligent accummulator control, realizes the efficient management of batteries, remote monitoring, maintenance in time.
Accompanying drawing explanation
Fig. 1 is intelligent accummulator control and management system configuration schematic diagram of the present invention;
Fig. 2 is intelligent accummulator control and management system Charge Management flow chart of the present invention.
Embodiment
Intelligent accummulator control and management system configuration schematic diagram as shown in Figure 1, system comprises ZigBee telegon, ZigBee terminal, storage battery.
ZigBee telegon: from being dynamically connected each ZigBee terminal node, collect each node feedback information and process after powering on, and carry out command transfer to each terminal node;
ZigBee terminal: for Real-Time Monitoring battery condition, and battery-operated is controlled in the order giving according to telegon;
Technology of Internet of things is applied to the Based Intelligent Control of storage battery, realizes the efficient management of storage battery, remote monitoring, maintenance in time.Intelligent control system transmission speed is fast, safe, and ZigBee-network networking is simple, cost is low, low in energy consumption, and the cost of whole system is low, and superior performance, meets the demand for control of system to storage battery completely.
The concrete case study on implementation schematic diagram of distributed intelligence storage battery control and management system as shown in Figure 2, detect accumulator electric-quantity, the 8 tunnels inputs that employing ZigBee terminal carries and 12 A/D converting units of configurable resolution, the voltage of storage battery, electric current are detected, because ZigBee terminal carries multi-channel A/D ALT-CH alternate channel, therefore can all accumulator electric-quantities of one-time detection.When the battery-operated voltage detecting, charging and discharging currents surpass the default limit value of program, by ZigBee terminal, change PWM pulsewidth, change discharging and recharging of storage battery, thereby protection storage battery is avoided the danger of super-charge super-discharge; Smart allocation electric energy, Fig. 2 is the flow chart of intelligent battery Charge Management.The electric weight of N storage battery is distributed, adopt and be first full of the principle of first using, allow the storage battery supplying power for outside of having substituted the bad for the good, in the situation that total electric weight is inadequate, can use the storage battery being partly full of to the power supply of minority power consumption equipment, not use no charging or dump energy to be less than the storage battery of (12 overhead accumulator voltages are lower than 11 volts), to storage battery can maximizedly be discharged and recharged, thereby the useful life that postpones storage battery, the reliability of assurance whole system.
In ZigBee telegon, ZigBee receives transmitting element by wireless mode and at least one ZigBee terminal node communication, Battery charge controller, battery discharging control, battery condition detection, storage battery communication, ZigBee telegon constantly regulates and switches the operating state of batteries according to external world's tender feeling condition, remaining battery capacity, make its alternate run under charge and discharge operating state, and prevent accumulator super-charge cross put, system has autonomous local control and two kinds of control modes of Long-distance Control.
Accumulator cell management method, the operational factor that comprises monolithic storage battery is carried out on-line monitoring, is detected accumulator electric-quantity, smart allocation electric energy, accumulator cell charging and discharging are controlled and all refine to monoblock battery, adopt fuzzy control to utilize practical experience to carry out Based Intelligent Control, utilize the parameter detecting to carry out Fuzzy processing storage battery, according to expertise and experience, establish fuzzy rule, contrast fuzzy rule obtains fuzzy output, input and output fuzzy set, input and output membership function, fuzzy control rule, fuzzy control table, fuzzy reasoning.
FUZZY ALGORITHMS FOR CONTROL: (storage battery of take is here introduced FUZZY ALGORITHMS FOR CONTROL as illuminating line power supply as example to utilize the parameter detecting, parameter is mainly remaining battery capacity SOC and intensity of illumination) carry out Fuzzy processing, according to expertise and experience, establish fuzzy rule, contrast fuzzy rule obtains fuzzy output.Carry out again reverse gelatinization processing, obtain the capacity predict of storage battery.Concrete steps are as follows: first determine and then set up fuzzy similarity matrix by the degree of correlation rij=μ (xi, xj) between fuzzy variable Xi and Xj.In design, we choose the intensity of illumination of transducer and the residual capacity SOC of storage battery as input, then they are normalized under a unified range, and then obfuscation, concrete operations are:
1) the range 0-10000 lex linearity of intensity of illumination is turned to 0-100, accumulator electric-quantity 0-24V normalizing is 0-100;
2) then select domain X={-6 ,-5 ,-4 ,-3 ,-2 ,-1,0,1,2,3,4,5,6}, determines intensity of illumination quantizing factor ka=10000/12, accumulator electric-quantity quantizing factor kb=24/12;
3) linguistic variable selection the deviation that PB(positive direction is large), deviation in PM(positive direction), the deviation that PS(positive direction is little), ZO(is bordering on zero deviation), the deviation that NS(negative direction is little), the deviation in NM(negative direction), the deviation that NB(negative direction is large) }, then by two fringe tables by fuzzy rule if LEX and VDD then U(wherein LEX be intensity of illumination fuzzy variable, VDD is accumulator electric-quantity fuzzy variable, U is fuzzy output.According to intensity of illumination fuzzy variable and accumulator electric-quantity fuzzy variable, with reference to fuzzy query table, select output variable) determine fuzzy output, obtain total fuzzy relation R, as table 1 is finally inquired about by fuzzy control, output fuzzy query table, realizes defuzzification.
Table 1
4) ZigBee telegon passes through ZigBee terminal real-time sampling intensity of illumination and storage battery dump energy when work, by obtaining fuzzy output U after table 1 obfuscation, by table 2, can obtain PWM duty ratio corresponding to fuzzy output U, then by ZigBee telegon, control satisfactory storage battery and complete output.
Table 2
| Fuzzy output U | NB | NM | NS | ZO | PS | PM | PB |
| PWM duty ratio | 20% | 30% | 40% | 50% | 60% | 70% | 80% |
Claims (1)
1. an intelligent accummulator control and management method, is characterized in that, specifically comprises the steps:
1) set up intelligent accummulator control and management system: distributed standing wind power generator accumulators provides electric energy, every group storage battery band one ZigBee terminal, several ZigBee terminals are by wireless mode and the communication of ZigBee telegon;
2) current performance data of ZigBee terminal collection storage battery send ZigBee telegon, whether detect battery-operated voltage, charging or discharging current over setting limit value simultaneously, as surpass, ZigBee terminal changes PWM pulsewidth, change discharging and recharging of storage battery, avoid accumulator super-charge to cross and put;
3) electric weight of ZigBee telegon logarithm group storage battery distributes, adopt and be first full of the principle of first using, allow the storage battery supplying power for outside of having substituted the bad for the good, in the situation that total electric weight is inadequate, can use the storage battery supplying power for outside being partly full of, not use no charging or dump energy to be less than the storage battery of limit value;
4) ZigBee telegon is by transducer collection power supply object instructions for use signal, and the residual capacity of power supply object instructions for use signal and storage battery is inputted as fuzzy controller, and fuzzy controller output is as the conditioning signal of storage battery supplying power for outside.
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| CN201410187895.4A CN104009520A (en) | 2014-05-07 | 2014-05-07 | Intelligent control and management method for storage batteries |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104200633A (en) * | 2014-09-17 | 2014-12-10 | 国家电网公司 | Communication system of intelligent storage battery bodies and central control device based on a zigbee network protocol |
| CN104300184A (en) * | 2014-10-14 | 2015-01-21 | 南方电网科学研究院有限责任公司 | Method for realizing battery charging and discharging based on adaptive-fuzzy inference system |
| CN104868570A (en) * | 2015-05-08 | 2015-08-26 | 北京邮电大学 | Zigbee networks visible light positioning wireless charging system and method |
| CN105391122A (en) * | 2015-11-18 | 2016-03-09 | 上海黄龙物联网科技有限公司 | Using method for terminal equipment batteries based on Internet of things |
| CN106711522A (en) * | 2016-11-24 | 2017-05-24 | 深圳市金宏电子有限公司 | Early warning and diagnosis method of lithium ion power battery |
| CN109585765A (en) * | 2019-01-07 | 2019-04-05 | 广西汽车集团有限公司 | A kind of battery pack, battery pack control system and control method |
| CN110572918A (en) * | 2019-09-17 | 2019-12-13 | Tcl空调器(中山)有限公司 | remote controller backlight adjusting method and device and storage medium |
| US10788537B2 (en) | 2015-08-05 | 2020-09-29 | Id3D Technologies Inc. | Modular system for monitoring batteries |
-
2014
- 2014-05-07 CN CN201410187895.4A patent/CN104009520A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104200633A (en) * | 2014-09-17 | 2014-12-10 | 国家电网公司 | Communication system of intelligent storage battery bodies and central control device based on a zigbee network protocol |
| CN104300184A (en) * | 2014-10-14 | 2015-01-21 | 南方电网科学研究院有限责任公司 | Method for realizing battery charging and discharging based on adaptive-fuzzy inference system |
| CN104868570A (en) * | 2015-05-08 | 2015-08-26 | 北京邮电大学 | Zigbee networks visible light positioning wireless charging system and method |
| CN104868570B (en) * | 2015-05-08 | 2017-05-10 | 北京邮电大学 | Zigbee networks visible light positioning wireless charging system and method |
| US10788537B2 (en) | 2015-08-05 | 2020-09-29 | Id3D Technologies Inc. | Modular system for monitoring batteries |
| CN105391122A (en) * | 2015-11-18 | 2016-03-09 | 上海黄龙物联网科技有限公司 | Using method for terminal equipment batteries based on Internet of things |
| CN106711522A (en) * | 2016-11-24 | 2017-05-24 | 深圳市金宏电子有限公司 | Early warning and diagnosis method of lithium ion power battery |
| CN109585765A (en) * | 2019-01-07 | 2019-04-05 | 广西汽车集团有限公司 | A kind of battery pack, battery pack control system and control method |
| CN110572918A (en) * | 2019-09-17 | 2019-12-13 | Tcl空调器(中山)有限公司 | remote controller backlight adjusting method and device and storage medium |
| CN110572918B (en) * | 2019-09-17 | 2021-11-23 | Tcl空调器(中山)有限公司 | Remote controller backlight adjusting method and device and storage medium |
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Application publication date: 20140827 |