CN207612084U - A kind of electric vehicle intelligent charging machine - Google Patents
A kind of electric vehicle intelligent charging machine Download PDFInfo
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- CN207612084U CN207612084U CN201721496839.4U CN201721496839U CN207612084U CN 207612084 U CN207612084 U CN 207612084U CN 201721496839 U CN201721496839 U CN 201721496839U CN 207612084 U CN207612084 U CN 207612084U
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- Prior art keywords
- circuit
- electric vehicle
- intelligent charging
- vehicle intelligent
- charging machine
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/10—Technologies improving the efficiency by using switched-mode power supplies [SMPS], i.e. efficient power electronics conversion e.g. power factor correction or reduction of losses in power supplies or efficient standby modes
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The utility model is related to a kind of electric vehicle intelligent charging machines,Including exchange end current rectifying and wave filtering circuit (101),LLC resonant converter (102),DC terminal filter circuit (103),Relay (104),DSP central controllers (105),MOSFET driving circuits (106) and sample circuit (107),The exchange end current rectifying and wave filtering circuit (101),LLC resonant converter (102),DC terminal filter circuit (103),Relay (104),DSP central controllers (105),MOSFET driving circuits (106) are sequentially connected,The sample circuit (107) is separately connected the input terminal of DC terminal filter circuit (103),The output end and DSP central controllers (105) of LLC resonant converter (102).Compared with prior art, the utility model has the advantages that charge efficiency is high, speed is fast, simple in structure, manufacturing cost is low etc..
Description
Technical field
The utility model is related to a kind of chargers, more particularly, to a kind of electric vehicle intelligent charging machine.
Background technology
When the problems such as coping with global energy safety, financial crisis, oil price soaring and climate change, electric vehicle (EV) and
Hybrid electrically power automobile (HEV) has been increasingly becoming one of the important measures that various countries solve these problems.Since two thousand nine I
State is all automobile volume of production and marketing the first in the world for years, the behind of this proud data be orthodox car bring environment, the energy,
The problems such as social, so the Chinese government attaches great importance to the development of new-energy automobile.Intelligent charging system of electric automobile can be electronic
Automobile provides convenient way of energy arbitrary, may advantageously facilitate electronic vapour industry development.
Because it is special that charger for automobile requires, usually there is very harsh requirement to charger for automobile, such as：High-power,
High efficiency, high power density, dustproof and waterproof, antidetonation, Width funtion input, electromagnetic compatibility is good etc., therefore study high-power charger
There are great theory and realistic meaning to the development of electric vehicle.
Utility model content
The purpose of this utility model is exactly to provide a kind of electric vehicle to overcome the problems of the above-mentioned prior art
Intelligent charging machine.
The purpose of this utility model can be achieved through the following technical solutions：
A kind of electric vehicle intelligent charging machine, including exchange end current rectifying and wave filtering circuit, LLC resonant converter, DC terminal filter
Wave circuit, relay, DSP central controllers, MOSFET driving circuits and sample circuit, exchange end current rectifying and wave filtering circuit,
LLC resonant converter, DC terminal filter circuit, relay, DSP central controllers, MOSFET driving circuits are sequentially connected, described
Sample circuit is separately connected the input terminal of DC terminal filter circuit, the output end of LLC resonant converter and DSP central controllers.
Further, the DSP central controllers include ADC interface, pulse frequency output interface and I/O interfaces, described
ADC interface is connect with sample circuit, and the pulse frequency output interface is connect with MOSFET driving circuits, the I/O interfaces with
Relay connects.
Further, the DSP central controllers are the central controller for being loaded with Chaos-Particle Swarm Optimization-pid algorithms.
Further, the LLC resonant converter includes sequentially connected half bridge switching circuit, resonant tank and transformation
Device.
Further, the sample circuit includes sequentially connected sensor unit, signal adjustment sub-circuit, signal amplification
Sub-circuit and A/D conversion sub-circuits.
Further, the DSP central controllers use TMS320F2812 chips.
Further, exchange end current rectifying and wave filtering circuit is EMI current rectifying and wave filtering circuits.
Further, which further includes the human-computer interaction module being connect with DSP central controllers.
Further, the human-computer interaction module includes display and keyboard.
Further, the DSP central controllers further include the CAN interface for connecting host computer.
Compared with prior art, the utility model has the advantages that：
(1) the utility model carries out switch control using LLC resonant converter to charged state, is controlled by the centers DSP
The feedback control of device, realizes Sofe Switch in full-load range during the work time, greatly reduces switch mosfet pipe
Loss, improves charger transfer efficiency.
(2) the utility model is inputted with the voltage of direct current output, current information by acquiring exchange to LLC resonant converter
On off state controlled, realize intelligent charge.
(3) the DSP central controllers that the utility model uses control to be loaded with the center of Chaos-Particle Swarm Optimization-pid algorithms
Device can effectively improve charge efficiency and speed according to the online real-time monitoring output voltage of charger charging situation, electric current etc..
(4) the utility model reliability is high, low to electric network pollution.
(5) the utility model is simple in structure, manufacturing cost is low, easy to use.
Description of the drawings
Fig. 1 is the structural schematic diagram of the utility model；
Fig. 2 is LLC resonant converter schematic diagram；
Fig. 3 is sample circuit structure chart；
Fig. 4 is Chaos-Particle Swarm Optimization-pid algorithm flow charts used by the utility model.
Specific implementation mode
The utility model is described in detail in the following with reference to the drawings and specific embodiments.The present embodiment is with the utility model
Implemented premised on technical solution, gives detailed embodiment and specific operating process, but the guarantor of the utility model
Shield range is not limited to following embodiments.
As shown in Figure 1, the present embodiment provides a kind of electric vehicle intelligent charging machine, including exchange end current rectifying and wave filtering circuit
101, LLC resonant converter 102, DC terminal filter circuit 103, relay 104, DSP central controllers 105, MOSFET drivings
Circuit 106 and sample circuit 107, exchange end current rectifying and wave filtering circuit 101, LLC resonant converter 102, DC terminal filter circuit
103, relay 104, DSP central controllers 105, MOSFET driving circuits 106 are sequentially connected, and sample circuit 107 is separately connected
The input terminal of DC terminal filter circuit 103, the output end of LLC resonant converter 102 and DSP central controllers 105.
The charger is that the process that the high voltage power battery 3 of electric vehicle charges is：220V exchange side network voltages input
It is changed into direct current signal by exchanging end current rectifying and wave filtering circuit 101, carries out DC/DC transformation through LLC resonant converter 102, then pass through
It crosses DC terminal filter circuit 103 and inputs the charging of high voltage power battery after relay 104.Exchange side network voltage, current signal,
DC voltage, the current signal of input power battery charging convert input DSP central controllers 105 by sampling unit through A/D,
105 operation of DSP central controllers obtains current PFM frequencies, the MOSFET of output PFM waves control MOSFET driving circuits 106
Switch.
DSP central controllers 105 include ADC interface 501, pulse frequency (PFM frequencies) output interface 502 and I/O interfaces
503, ADC interface 501 is connect with sample circuit, and pulse frequency output interface 502 is connect with MOSFET driving circuits 106, and I/O connects
Mouth 503 is connect with relay 104.
DSP central controllers 105 are the central controller for being loaded with Chaos-Particle Swarm Optimization-pid algorithms.
As shown in Fig. 2, LLC resonant converter 102 includes sequentially connected half bridge switching circuit, resonant tank and transformation
Device.Become the half bridge switching circuit that direct current signal enters LLC resonance circuits after the rectified filtering of 220V AC signals in power grid, this
When DC voltage or after current signal becomes alternating voltage or current signal by half bridge switching circuit, subsequently enter resonance and return
Rectifying and wave-filtering is arrived in road again after transformer later by producing the higher voltage of frequency, current signal after resonant tank
Link.
As shown in Fig. 2, VdcFor input voltage, switching circuit is half-bridge structure, Q1、Q2For switching tube, the driving of switching tube
Signal is a pair of complementary PWM wave, and duty ratio 50%, drive signal is the T with dead timedead, diode D1、D2For
Q1、Q2Body diode, C1、C2For the parasitic capacitance of switching tube.The resonant network of resonance circuit is by capacitance Cr, inductance LrAnd transformation
Device magnetizing inductance LmComposition, wherein CrAlso play blocking.T is ideal transformer, and N is transformer turn ratio.By D3、D4Structure
At full-wave rectifying circuit, capacitance CoFor filter capacitor.
For the resonance circuit in two resonant frequencies, the different resonant conditions that can be worked have CrWith LmSeries resonance, with
And Cr、LrAnd LmCommon series parallel resonance.
When energy is transferred to secondary side from transformer primary side, rectifier diode conducting, primary side LmElectric current linearly increase
Add, LmVoltage kept constant by secondary voltage clamper, only L at this timer, CrResonance is participated in, resonant frequency is at this time：
When energy stopping is transmitted from transformer primary side to transformer secondary, secondary side diode is ended, at this time three resonance
One piece of resonance of element, resonant frequency are：
As shown in figure 3, sample circuit 107 includes sequentially connected sensor unit, signal adjustment sub-circuit, signal amplification
Sub-circuit and A/D conversion sub-circuits.The main function of sample circuit 107 is acquisition input and output voltage, electric current, temperature parameter etc.
Information.Sensor unit include temperature sensor, input voltage sensor, input current sensor, output voltage sensor and
Output current sensor.First use temperature sensor, input voltage sensor, input current sensor, output voltage sensor and
Output current sensor is detected to being inputted in circuit loop, exporting situation, since sensor detection parameters information is simulation
Signal and very faint, is enhanced after signal-conditioning unit adjusts by amplifying circuit, then will be detected after being converted by A/D
Analog signal be converted to digital signal, the data-signal after digitlization is passed in DSP again, data that each sensor detects
Signal is stored in the different address of the memory of DSP, while the clock module in DSP writes down the time of data storage.
In some embodiments, the TMS320F2812 chips of TI companies may be used in DSP central controllers 105.
In some embodiments, exchange end current rectifying and wave filtering circuit 101 is EMI current rectifying and wave filtering circuits.
In some embodiments, which further includes the man-machine friendship being connect with the I/O interfaces 503 of DSP central controllers 105
Mutual module 108, realizes display and parameter setting function.Human-computer interaction module 108 includes display and keyboard.
In some embodiments, DSP central controllers 105 further include the CAN interface 504 for connecting host computer 2.
The battery mould that the high voltage power battery unit of above-mentioned charger application can be formed for multiple single battery connection in series-parallel
Block.
The principles of the Chaos-Particle Swarm Optimization-pid algorithms loaded in above-mentioned charger DSP central controllers 105 as shown in figure 4,
For a kind of existing intelligent optimization method, concrete scheme is：
step1：It is assumed that Kp、Ki、KdValue range is [a, b], and the particle number of population is N, then population is in beginning
When have N number of 3 dimension particle (X1,X2,...,XN), Kp、Ki、KdIt may be considered coordinate of each particle in the space.Setting
Suitable Object, iter, initial ω and Studying factors c1, c2。
step2：Suitable index is selected to weigh the quality of PID controller, as fitness function J, the calculated value of J is got over
It is small, indicate that pid parameter is adjusted more outstanding.
step3：First particle initial value coordinate to Kp、Ki、Kd.Then pass through fitness function to calculate, write down when optimizing changes
When for k times, the position coordinates of current particle optimum individualWith the position of optimum individual in populationWrite down each optimizing
The average fitness value of population is in iteration
step4：If the fitness value at this time of individual is than the average fitness value of populationIt is big, then according to regard to formula
The movement speed of more new particle and the position coordinates of particle.If than populationIt is small then individual xi=(xip,xii,
xid) corresponding PID numerical value substitutes into formula x'i=(xi- a)/(b-a) in, it, which is mapped in [0,1], can obtain x'i, then execute mixed
Ignorant operation is then mapped to K for time formulap、Ki、KdIn interval [a, b].
step5：Recalculate the fitness value of the fitness value and Particle Swarm of each particle individual.
step6：Write down the optimal location coordinate of particle personal best particle coordinate and Particle Swarm after recalculating.
step7：Judge whether to reach maximum times or restrain, be stop optimizing output globally optimal solution, it is no just
Into step4.
The preferred embodiment of the utility model described in detail above.It should be appreciated that the ordinary skill people of this field
Member according to the present utility model can conceive without creative work makes many modifications and variations.Therefore, all this technology necks
Technical staff passes through logic analysis, reasoning or limited reality on the basis of existing technology according to the design of the utility model in domain
Available technical solution is tested, it all should be in the protection domain being defined in the patent claims.
Claims (10)
1. a kind of electric vehicle intelligent charging machine, which is characterized in that become including exchange end current rectifying and wave filtering circuit (101), LLC resonance
Parallel operation (102), DC terminal filter circuit (103), relay (104), DSP central controllers (105), MOSFET driving circuits
(106) it is filtered with sample circuit (107), the exchange end current rectifying and wave filtering circuit (101), LLC resonant converter (102), DC terminal
Wave circuit (103), relay (104), DSP central controllers (105), MOSFET driving circuits (106) are sequentially connected, described to adopt
Sample circuit (107) be separately connected the input terminal of DC terminal filter circuit (103), LLC resonant converter (102) output end and
DSP central controllers (105).
2. electric vehicle intelligent charging machine according to claim 1, which is characterized in that the DSP central controllers (105)
Including ADC interface (501), pulse frequency output interface (502) and I/O interfaces (503), the ADC interface (501) and sampling electricity
Road connects, and the pulse frequency output interface (502) connect with MOSFET driving circuits (106), the I/O interfaces (503) and
Relay (104) connects.
3. electric vehicle intelligent charging machine according to claim 1, which is characterized in that the DSP central controllers (105)
To be loaded with the central controller of Chaos-Particle Swarm Optimization-pid algorithms.
4. electric vehicle intelligent charging machine according to claim 1, which is characterized in that the LLC resonant converter (102)
Including sequentially connected half bridge switching circuit, resonant tank and transformer.
5. electric vehicle intelligent charging machine according to claim 1, which is characterized in that the sample circuit (107) includes
Sequentially connected sensor unit, signal adjustment sub-circuit, signal amplification sub-circuit and A/D conversion sub-circuits.
6. electric vehicle intelligent charging machine according to claim 1, which is characterized in that the DSP central controllers (105)
Using TMS320F2812 chips.
7. electric vehicle intelligent charging machine according to claim 1, which is characterized in that exchange end current rectifying and wave filtering circuit
(101) it is EMI current rectifying and wave filtering circuits.
8. electric vehicle intelligent charging machine according to claim 1, which is characterized in that further include and DSP central controllers
(105) human-computer interaction module (108) connected.
9. electric vehicle intelligent charging machine according to claim 8, which is characterized in that the human-computer interaction module (108)
Including display and keyboard.
10. electric vehicle intelligent charging machine according to claim 1, which is characterized in that the DSP central controllers
(105) further include for connecting the CAN interface of host computer (2) (504).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721496839.4U CN207612084U (en) | 2017-11-09 | 2017-11-09 | A kind of electric vehicle intelligent charging machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721496839.4U CN207612084U (en) | 2017-11-09 | 2017-11-09 | A kind of electric vehicle intelligent charging machine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207612084U true CN207612084U (en) | 2018-07-13 |
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ID=62795575
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201721496839.4U Expired - Fee Related CN207612084U (en) | 2017-11-09 | 2017-11-09 | A kind of electric vehicle intelligent charging machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN207612084U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109600047A (en) * | 2018-12-27 | 2019-04-09 | 上海电力学院 | The parameter optimization method of LLC module in a kind of DC/DC circuit |
| CN110350795A (en) * | 2019-06-24 | 2019-10-18 | 深圳市瀚强科技股份有限公司 | A kind of control circuit |
-
2017
- 2017-11-09 CN CN201721496839.4U patent/CN207612084U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109600047A (en) * | 2018-12-27 | 2019-04-09 | 上海电力学院 | The parameter optimization method of LLC module in a kind of DC/DC circuit |
| CN110350795A (en) * | 2019-06-24 | 2019-10-18 | 深圳市瀚强科技股份有限公司 | A kind of control circuit |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180713 Termination date: 20201109 |