CN107579581A - A kind of adaptive quick charge device - Google Patents
A kind of adaptive quick charge device Download PDFInfo
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- CN107579581A CN107579581A CN201711067394.2A CN201711067394A CN107579581A CN 107579581 A CN107579581 A CN 107579581A CN 201711067394 A CN201711067394 A CN 201711067394A CN 107579581 A CN107579581 A CN 107579581A
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Abstract
The present invention relates to power technique fields, disclose a kind of adaptive quick charge device, including：Processor, current regulator, voltage regulator, the first fuzzy controller, the second fuzzy controller, charging main circuit and battery clamp, wherein, processor is used to gather the battery terminal voltage of battery to be charged, charging current, battery temperature signal on battery clamp, and output control electric current and control voltage.Quick charging system of the invention based on Fuzzy Adaptive PID has the advantages that stability is good, dynamic response time is short, charging rate is fast, efficiency high.Realize the intelligent and rapid of charging.
Description
Technical field
The present invention relates to power technique fields, more particularly to a kind of adaptive quick charge device.
Background technology
Battery in charging process, charging current change with time follow lead acid battery charge receive characteristic song
Line, more than characteristic any electric current, charging rate can not be not only improved, also result in hydrolysis, bubbing, increase pressure
Power and temperature rise.And be the acceptable charging current of battery less than this characteristic charging current, but this is extended again
Charging interval.In the prior art, the charging method of effective lead-acid accumulator is lacked, charging rate is slow, and efficiency is low.
The content of the invention
The present invention provides a kind of adaptive quick charge device, and solution lacks effective lead-acid accumulator in the prior art
Charging method, charging rate is slow, the low technical problem of efficiency.
The purpose of the present invention is achieved through the following technical solutions：
A kind of adaptive quick charge device, including：Processor, current regulator, voltage regulator, the first fuzzy control
Device, the second fuzzy controller, charging main circuit and battery clamp, wherein, processor is used to gather electricity to be charged on battery clamp
Battery terminal voltage, charging current, the battery temperature signal in pond, and output control electric current and control voltage；First fuzzy controller
In parallel with current regulator, the input of first fuzzy controller and current regulator is respectively control electric current and charging current
Error and error rate；Second fuzzy controller and voltage regulator are in parallel, and second fuzzy controller and voltage are adjusted
The input for saving device is respectively the error and error rate of control voltage and charging voltage；Current regulator and voltage regulator
Output is connected with charging main circuit；First fuzzy controller is used to adjust the adjustment factor of the current regulator
It is whole；Second fuzzy controller is used to be adjusted the adjustment factor of the voltage regulator.
The present invention provides a kind of adaptive quick charge device, and the quick charging system based on Fuzzy Adaptive PID has
The advantages that stability is good, dynamic response time is short, charging rate is fast, efficiency high.Realize the intelligent and rapid of charging.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention
Example, for those of ordinary skill in the art, without having to pay creative labor, can also be obtained according to these accompanying drawings
Obtain other accompanying drawings.
Fig. 1 is a kind of structural representation of adaptive quick charge device of the embodiment of the present invention；
Fig. 2 is the parameter adjustment value membership function schematic diagram of the embodiment of the present invention.
Embodiment
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is further detailed explanation.
As shown in figure 1, be a kind of adaptive quick charge device provided in an embodiment of the present invention, including：Processor, electric current
Adjuster, voltage regulator, the first fuzzy controller, the second fuzzy controller, charging main circuit and battery clamp, wherein, place
Reason device is used to gather the battery terminal voltage of battery to be charged, charging current, battery temperature signal on battery clamp, and output control
Electric current and control voltage；First fuzzy controller and current regulator are in parallel, first fuzzy controller and current regulator
Input be respectively control electric current and charging current error and error rate；Second fuzzy controller and voltage regulator are simultaneously
Connection, the input of second fuzzy controller and voltage regulator are respectively error and the error change of control voltage and charging voltage
Rate；The output of current regulator and voltage regulator is connected with charging main circuit；First fuzzy controller is used for institute
The adjustment factor for stating current regulator is adjusted；Second fuzzy controller is used for the regulation system to the voltage regulator
Number is adjusted.
First fuzzy controller, the second fuzzy controller are provided with fuzzy rule, and the fuzzy rule can be according to control voltage
With the error of charging voltage and the continuous change of error rate, carry out fuzzy reasoning and the adjustment factor of voltage regulator is carried out
On-line tuning；The fuzzy rule can enter according to the continuous change of the error and error rate of control electric current and charging current
Row fuzzy reasoning carries out on-line tuning to the adjustment factor of current regulator.
The fuzzy rule is fuzzy control rule table.
First fuzzy controller, the second fuzzy controller internal memory contain fuzzy polling list, the fuzzy control
Inquiry table looks into fuzzy control rule table according to the state of input quantity, is calculated and obtained using minimax rationalistic method.
First fuzzy controller, the second fuzzy controller are additionally operable to carry out Anti-fuzzy to the output quantity of fuzzy controller
Change, accurately to be adjusted to adjustment factor.
In charging process, error e, control voltage/electric current and the charging of control voltage/electric current and charging voltage/electric current
The error rate ec of voltage/current,
So selecting ZE, PS, PM, the linguistic variable of PB, PL as e and ec, it is { 0,6 } to quantify domain, and output quantity is voltage
The adjustment factor of adjuster or the adjustment factor Kp " of current regulator, Ki ", Kd " select NB, NS, ZE, and PS, PB become for language
Amount, it is { -4 ,+4 } to quantify domain, and membership function is as shown in Figure 2.
Fuzzy control rule in the embodiment of the present invention be by personal operating experience and accumulation test data formed it is fuzzy
Conditional statement set.Ensure that controller output can make the static and dynamic performance of system output response reach optimal.The embodiment of the present invention
According to e and ec continuous change, on-line tuning is carried out to Kp, Ki, Kd by fuzzy reasoning.Control rule can include：
(1) Kp values more large deviation signal reduces faster, but the overshoot of system also can accordingly increase.In order to ensure that system has
There is preferable stability, in the control later stage, Kp values should take smaller；
(2) control initial stage may make system differential supersaturation occur due to deviation signal that moment increases, so Ki values
It should set smaller；The later stage is controlled, can suitably increase Ki, system can obtain more preferable stability；
(3) due to the presence of lag module, Kd values are excessive easily to cause system to vibrate.Therefore, Kd values should control
Later stage is gradually reduced, to ensure that system has good stability.Control rule obtains 3 Kp ", Ki ", Kd " ginsengs according to more than
Several fuzzy control rules.
Fuzzy control rule is looked into according to the state of input quantity, is calculated using minimax rationalistic method and can obtain fuzzy control
Inquiry table, inquiry table is stored in processor, complicated fuzzy logic inference is converted into simply tabling look-up, and meets quick
The requirement of property.
In fuzzy controller, its input quantity and output quantity are all fuzzy quantities.And control signal is it is desirable that exact value, just
Anti fuzzy method need to be carried out to the output quantity of fuzzy controller.
In order to determine adjusted value Kp ", Ki ", Kd ", anti fuzzy method is carried out using gravity model appoach, output valve is voltage regulator
Adjustment factor or current regulator adjustment factor (adjusted value of pid parameter) Kp ", Ki ", Kd ", wherein, Kp=Kp'+Kp "
Ki=Ki'+Ki " Kd=Kd'+Kd ", Kp ', Ki ', the setting parameter that Kd ' is Traditional PID in formula.
The present invention provides a kind of adaptive quick charge device, and the quick charging system based on Fuzzy Adaptive PID has
The advantages that stability is good, dynamic response time is short, charging rate is fast, efficiency high.Realize the intelligent and rapid of charging.
The present invention is described in detail above, principle and embodiment party of the specific case used herein to the present invention
Formula is set forth, and the explanation of above example is only intended to help the method and its core concept for understanding the present invention；It is meanwhile right
In those of ordinary skill in the art, according to the thought of the present invention, change is had in specific embodiments and applications
Part, in summary, this specification content should not be construed as limiting the invention.
Claims (5)
- A kind of 1. adaptive quick charge device, it is characterised in that including：Processor, current regulator, voltage regulator, One fuzzy controller, the second fuzzy controller, charging main circuit and battery clamp, wherein, processor is used to gather battery clamp Battery terminal voltage, charging current, the battery temperature signal of upper battery to be charged, and output control electric current and control voltage；First Fuzzy controller and current regulator are in parallel, and the input of first fuzzy controller and current regulator is respectively control electric current With the error and error rate of charging current；Second fuzzy controller and voltage regulator are in parallel, second fuzzy control The input of device and voltage regulator is respectively the error and error rate of control voltage and charging voltage；Current regulator and electricity The output of pressure adjuster is connected with charging main circuit；First fuzzy controller is used for the regulation system to the current regulator Number is adjusted；Second fuzzy controller is used to be adjusted the adjustment factor of the voltage regulator.
- 2. adaptive quick charge device according to claim 1, it is characterised in that the first fuzzy controller, the second mould Fuzzy controllers are provided with fuzzy rule, and the fuzzy rule can be according to the error and error rate of control voltage and charging voltage Constantly change, carry out fuzzy reasoning and on-line tuning is carried out to the adjustment factor of voltage regulator；The fuzzy rule can be according to control The continuous change of the error and error rate of electric current processed and charging current, carry out regulation system of the fuzzy reasoning to current regulator Number carries out on-line tuning.
- 3. adaptive quick charge device according to claim 2, it is characterised in that the fuzzy rule is fuzzy control Rule list.
- 4. adaptive quick charge device according to claim 3, it is characterised in that first fuzzy controller, Two fuzzy controller internal memories contain fuzzy polling list, and the fuzzy polling list looks into Fuzzy Control according to the state of input quantity Rule list processed, calculated and obtained using minimax rationalistic method.
- 5. adaptive quick charge device according to claim 3, it is characterised in that first fuzzy controller, Two fuzzy controllers are additionally operable to carry out anti fuzzy method to the output quantity of fuzzy controller, accurately to be adjusted to adjustment factor.
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| CN201711067394.2A CN107579581A (en) | 2017-11-03 | 2017-11-03 | A kind of adaptive quick charge device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711067394.2A CN107579581A (en) | 2017-11-03 | 2017-11-03 | A kind of adaptive quick charge device |
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| CN107579581A true CN107579581A (en) | 2018-01-12 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108712078A (en) * | 2018-04-28 | 2018-10-26 | 武汉南华工业设备工程股份有限公司 | A kind of fuzzy control method and device of phase-shifting full-bridge ZVS DC-DC converters |
| CN111983461A (en) * | 2020-07-20 | 2020-11-24 | 武汉数值仿真技术研究院有限公司 | Lithium ion battery charging stability testing method for pure electric vehicle |
| CN112436571A (en) * | 2020-11-12 | 2021-03-02 | 中国海洋大学 | Charging control method, device and system based on fuzzy self-adaptive PID control |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011024298A (en) * | 2009-07-14 | 2011-02-03 | Toshiba It & Control Systems Corp | Charging/discharging equipment |
| CN203151141U (en) * | 2013-02-02 | 2013-08-21 | 扬州奥凯新能源科技有限公司 | Electric vehicle-used intelligent charger based on fuzzy self-adaptive PID control |
-
2017
- 2017-11-03 CN CN201711067394.2A patent/CN107579581A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011024298A (en) * | 2009-07-14 | 2011-02-03 | Toshiba It & Control Systems Corp | Charging/discharging equipment |
| CN203151141U (en) * | 2013-02-02 | 2013-08-21 | 扬州奥凯新能源科技有限公司 | Electric vehicle-used intelligent charger based on fuzzy self-adaptive PID control |
Non-Patent Citations (1)
| Title |
|---|
| 孙莉莉，等: "基于模糊自适应PI D算法的快速充电系统设计", 《自动化与仪表》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108712078A (en) * | 2018-04-28 | 2018-10-26 | 武汉南华工业设备工程股份有限公司 | A kind of fuzzy control method and device of phase-shifting full-bridge ZVS DC-DC converters |
| CN111983461A (en) * | 2020-07-20 | 2020-11-24 | 武汉数值仿真技术研究院有限公司 | Lithium ion battery charging stability testing method for pure electric vehicle |
| CN111983461B (en) * | 2020-07-20 | 2023-02-10 | 武汉数值仿真技术研究院有限公司 | Lithium ion battery charging stability testing method for pure electric vehicle |
| CN112436571A (en) * | 2020-11-12 | 2021-03-02 | 中国海洋大学 | Charging control method, device and system based on fuzzy self-adaptive PID control |
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