Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, a kind of environment-friendly metal recovery system of the present embodiment, the biography including being used to transmit scrap metal
Defeated module 1, screening module 2, metal processing module 3, treated for will pass through the metal processing module 3 metal removal gold
Belong to the vibrations heating refrigerating module 4 of ground-slag, run for the dedusting module 5 of metal after clean and reuse processing and for control system
Control module 6 and in order to control module 6 provide power composite energy storage module 7.
Preferably, the screening module 2 includes giving up for the raw material centrifuge for scrap metal of classifying and for abrasive metal
The pulverizer of material
Preferably, the metal processing module 3 includes vibrating screen panel of the grid less than 2mm and for removing metal surface oxygen
The processing centrifuge of compound film.
The above embodiment of the present invention saves production cost by the recycling to scrap metal, environmentally protective, and
Convenient operation and control.
Preferably, the composite energy storage module 7 is opened including super capacitor group, battery pack, two-way dc/dc converters, first
Pass, second switch, the first diode and the second diode, wherein, super capacitor group is made of multiple ultracapacitors, battery pack
By multiple lithium battery groups into, wherein the high-pressure side of two-way dc/dc converters is connect with super capacitor group, two-way dc/dc converters
Low-pressure end connect with battery pack, super capacitor group passes through first switch in parallel and the first diode and is connected with load, battery
Group is connected by second switch and the second diode in parallel with load.Preferably, the two-way dc/dc converters are half-bridge knot
The two-way dc/dc converters of structure.This preferred embodiment is by the use of super capacitor group and battery pack as the composition portion of composite energy storage module 7
Point, make composite energy storage module 7 that there is composite energy storage, can constantly in order to control module 6 provide power, guarantee systems stay
Normal operation, energy conservation and environmental protection.
Preferably, the parameter of the super capacitor group of the composite energy storage module 7 and battery pack is using parameter matching and optimization
Method choice specifically includes:
(1) optimized variable is selected to select compound storage for battery pack parallel connection lithium battery quantity and the power limit of battery pack
The optimization aim of the parameter matching and optimization of energy module 7 is the gross mass of composite energy storage module 7, total volume, capacity, loss, battery
The average charge-discharge magnification of group, wherein the value range for setting battery pack parallel connection lithium battery quantity sets battery pack as [2,10]
Power limit value range for [0,100kw], calculate the work(of each battery pack parallel connection lithium battery quantity and battery pack respectively
Gross mass, capacity, total volume, loss and the average charge and discharge of battery pack of the composite energy storage module 7 of the scheme of rate limit value composition
Electric multiplying power;
(2) capacity of setting composite energy storage module 7, gross mass, total volume, loss, battery pack average charge-discharge magnification
Corresponding threshold value deletes the power limit group of the battery pack parallel connection lithium battery quantity and battery pack beyond each parameter threshold
Into the corresponding data of scheme;
(3) side formed when being j is set by battery pack parallel connection lithium battery quantity value as the power limit value of i and battery pack
The capacity of the energy resource supply module 4 of case is Gij, gross mass Rij, total volume Sij, loss is Eij, battery pack average charge and discharge
Electric multiplying power is Nij, nondimensionalization processing, wherein B are carried out to remaining data according to the following formula1ijIt represents to RijCarry out nondimensionalization
Treated as a result, B2ijIt represents to SijCarrying out nondimensionalization, treated as a result, B3ijIt represents to EijCarry out nondimensionalization processing
Afterwards as a result, B4ijIt represents to NijCarrying out nondimensionalization, treated as a result, B5ijIt represents to GijCarrying out nondimensionalization, treated
As a result:
In formula, i=2,3 ..., 10, j=0,10 ..., 100, i, j the data deleted neither are considered in value,
Max (R), min (R) are respectively the maximum value minimum of the gross mass R of energy resource supply module 4, and max (S), min (S) are respectively
The maximum value minimum of the total volume of energy resource supply module 4, max (E), min (E) are respectively the loss of energy resource supply module 4
Maximum value minimum, max (N), min (N) are respectively that the maximum value of the average charge-discharge magnification of energy resource supply module 4 is minimum
Value, max (G), min (G) are respectively the maximum value minimum of the capacity of energy resource supply module 4;
(4) optimum choice of i, j are carried out.
This preferred embodiment carries out the pretreatment of data according to above-mentioned formula and nondimensionalization is handled, and can retain above-mentioned 5
The degree of variation of a optimization aim and interactional information ensure the super capacitor group and battery pack of composite energy storage module 7
The precision of parameter optimization, so that composite energy storage module 7 can more efficiently module 6 provides required move in order to control
Power makes metal recovery energy saving of system environmentally friendly.
Preferably, the composite energy storage module 7 according to improved electrical power distribution strategy to battery pack and super capacitor group
Power carry out optimum allocation, realize battery set charge/discharge power limit in a certain range, compound storage improved so as to reach
Can module 7 efficiency, extend battery pack service life purpose;
The improved electrical power distribution strategy includes:
(1) P is setdN' for the power limit of battery pack that selects after parameter optimization, prediction load work(is determined according to the following formula
Rate limit value:
1)When
2)When
In formulaFor in subsequent timePrediction bearing power limit value,To be likely to occur subsequent time
Bearing power,For subsequent timeBearing powerThe probability of appearance;
(2) when the electrical power of loading demand is more than prediction bearing power limit value, battery pack provides the power within limit value,
Part more than prediction bearing power limit value is provided by super capacitor group;When the electrical power of loading demand is less than prediction bearing power
During limit value, the electrical power of metal recovery system requirements is provided by battery pack.
This preferred embodiment is designed electrical power distribution strategy, is determining power limit of the battery pack in current time j
The power limit of the battery pack selected after parameter optimization and prediction bearing power limit value are considered during value simultaneously, improves battery pack
The accuracy in computation of power limit so as to make the distribution of the power to battery pack and super capacitor group more accurate, further carries
High 7 efficiency of composite energy storage module, and extend the service life of battery pack.
Inventor has carried out a series of tests using the present embodiment, is the experimental data tested below:
Scrap metal recovering state |
Cost savings rate |
Failure rate |
Scrap metal weight:5kg |
5% |
0% |
Scrap metal weight:10kg |
6% |
0% |
Scrap metal weight:15kg |
5% |
0% |
Scrap metal weight:20kg |
7% |
0% |
Scrap metal weight:30kg |
8% |
0% |
Preferably, the optimum choice for carrying out i, j, specifically performs according to the following formula:
In formula, i, j neither consider the data rejected, O in valueijFor battery pack parallel connection lithium battery quantity value be i,
Optimal value when the power limit parameter value of battery pack is j, BkijIt represents in nondimensionalization treated result { B1ij,B2ij,
B3ij,B4ij,B5ijIn value corresponding with k, k=1 ..., 5, τkFor corresponding Bkij, using expert estimation method obtain weighting
Coefficient, ωkFor corresponding Bkij, the weighting coefficient that is determined using historical experience, and
Select OijThe power limit of corresponding battery pack parallel connection lithium battery quantity value and battery pack takes during for minimum
Value is as final optimized variable parameter.
This preferred embodiment is weighted determining for coefficient, energy using the method that expert estimation method and historical experience determine
Enough selections for more precisely optimizing variable parameter, ensure the power supply of control module 6, so as to improve composite energy storage mould
The working efficiency of block 7.
As another preferred embodiment, the improved electrical power distribution strategy includes:
(1) the power demand R of the load of current time α is determineddNThe voltage U of (α) and super capacitor groupSUP, when calculating α+1
The prediction bearing power limit value at quarter;
(2) U is setTFor the rated voltage of super capacitor group, power distribution is carried out according to following bearing power allocation rule:
If 1) RdN(α+1)>RdN(α)>0, then currently by the electrical power of super capacitor group output 25%;
If 2) RdN(α)>RdN(α+1)>0and USUP≥UT, then currently by the electrical power of super capacitor group output 75%;
If 3) RdN(α+1)>0and RdN(α)<0and USUP<UT, then improve and maintain the voltage of super capacitor group to UT;
If 4) RdN(α+1)>0and RdN(α)<0and USUP≥UT, then currently by the electric work of super capacitor group output 10%
Rate;
If 5) RdN(α+1)<0and RdN(α)>0and USUP<UT, then the power that super capacitor group exports is improved;
If 6) RdN(α+1)<0and RdN(α)>0and USUP>UT, then reduce and maintain the voltage of super capacitor group to UM;
If 7) RdN(α+1)<0and RdN(α)<0, then balance the regenerative power of current super capacitance group and battery pack.
This preferred embodiment is designed electrical power distribution strategy, has formulated bearing power allocation rule, has made to battery
The distribution of the power of group and super capacitor group is more accurate, further improves 7 efficiency of composite energy storage module, and extend battery pack
Service life ensures the supply of electric power of control module 6, prevents from breaking down in terms of supply of electric power during the work of metal recovery system, ensure
Working efficiency.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention rather than the present invention is protected
The limitation of range is protected, although being explained in detail with reference to preferred embodiment to the present invention, those of ordinary skill in the art should
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.