CN115208012A - Energy management method of multi-electric-aircraft high-power pulse load energy storage system based on fuzzy control - Google Patents
Energy management method of multi-electric-aircraft high-power pulse load energy storage system based on fuzzy control Download PDFInfo
- Publication number
- CN115208012A CN115208012A CN202210834880.7A CN202210834880A CN115208012A CN 115208012 A CN115208012 A CN 115208012A CN 202210834880 A CN202210834880 A CN 202210834880A CN 115208012 A CN115208012 A CN 115208012A
- Authority
- CN
- China
- Prior art keywords
- lithium battery
- super capacitor
- power
- storage system
- current
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 39
- 238000007726 management method Methods 0.000 title claims abstract description 22
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims abstract description 95
- 229910052744 lithium Inorganic materials 0.000 claims abstract description 95
- 239000003990 capacitor Substances 0.000 claims abstract description 91
- 238000007599 discharging Methods 0.000 claims abstract description 14
- 238000000034 method Methods 0.000 claims description 21
- 239000002131 composite material Substances 0.000 claims description 15
- 230000002457 bidirectional effect Effects 0.000 claims description 13
- HEZMWWAKWCSUCB-PHDIDXHHSA-N (3R,4R)-3,4-dihydroxycyclohexa-1,5-diene-1-carboxylic acid Chemical compound O[C@@H]1C=CC(C(O)=O)=C[C@H]1O HEZMWWAKWCSUCB-PHDIDXHHSA-N 0.000 claims description 12
- 230000006978 adaptation Effects 0.000 claims description 9
- 230000033228 biological regulation Effects 0.000 claims description 9
- 230000009467 reduction Effects 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 3
- 150000001875 compounds Chemical class 0.000 claims description 3
- 230000009471 action Effects 0.000 claims description 2
- 230000010354 integration Effects 0.000 claims 1
- 230000035772 mutation Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000008901 benefit Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000011217 control strategy Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 2
- 230000005484 gravity Effects 0.000 description 2
- 229910001416 lithium ion Inorganic materials 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/00302—Overcharge protection
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/00306—Overdischarge protection
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0068—Battery or charger load switching, e.g. concurrent charging and load supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/345—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering using capacitors as storage or buffering devices
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2207/00—Indexing scheme relating to details of circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J2207/50—Charging of capacitors, supercapacitors, ultra-capacitors or double layer capacitors
Abstract
The invention discloses an energy management method of a multi-electric-aircraft high-power pulse load energy storage system based on fuzzy control, which comprises the steps of acquiring the load power requirement of the energy storage system, using the SOC of a lithium battery and a super capacitor as the input quantity of the fuzzy control, designing a membership function by using a triangular function and a trapezoidal function, fuzzifying the input quantity, setting a lithium battery discharge power requirement threshold, and discharging the lithium battery when the power requirement is not more than the threshold in a discharge mode; otherwise, the lithium battery and the super capacitor are discharged together; meanwhile, the SOC of the lithium battery and the SOC of the super capacitor are controlled by adopting an overcharge and overdischarge protection technology to assist fuzzy control for power distribution of the lithium battery and the super capacitor in a mode of setting an inference rule by adjusting respective power output and other control logics of the lithium battery and the super capacitor according to the SOC states of the lithium battery and the super capacitor.
Description
Technical Field
The invention belongs to the technical field of energy management of multi-electric airplanes, and particularly relates to an energy management method of a composite energy storage system of a high-power pulse load on a multi-electric airplane.
Background
The moment when the high-power pulse load is connected into an airplane power system can cause instantaneous sudden change of output voltage, so that normal operation of other loads on the airplane is interfered, and larger impact is brought to the system. Meanwhile, the peak power of the pulse load at the moment of sudden change is very high, so that the traditional power supply system is difficult to maintain the stability of the output voltage. Therefore, in order to ensure the reliability, stability and economy of the power system, a composite power supply consisting of a storage battery and a super capacitor can be selected to be used as an onboard energy storage. The storage battery has the capacity of charging and discharging with large current, but the requirement of high peak power on the capacity of the battery is high, and the weight of the airplane can be greatly increased. While supercapacitors can meet the demand for high peak power, their energy density is low. The composite power supply combining the lithium battery and the super capacitor has the dual advantages of high power density and high energy density, so that the damage of the pulse load to a power system is reduced, and the safety of the system is maintained.
The control strategy of the hybrid energy storage system is one of the cores of the energy management of the hybrid power system, and the good control strategy can better control the power distribution among the energy units and improve the working performance of the system. The energy management target for the lithium battery-super capacitor energy storage system mainly comprises two aspects: on one hand, the power sudden change when the high-power pulse load is added is considered, and the power flows of the super capacitor and the lithium battery are reasonably distributed; another aspect is to consider the impact of the SOC of the lithium battery and the super capacitor on the control strategy to maximize the reduction in life decay of the energy storage system. Fuzzy control technology has been tested and verified for fuzzy rules in hybrid vehicles and is being developed into the field of aviation. The establishment of the fuzzy rule is independent of definite numerical values or equations, and breaks away from the constraint of the accuracy of a system model, so that the fuzzy rule is widely applied to the optimization control of uncertain systems and nonlinear systems. The fuzzy control mainly deals with the power distribution of the lithium battery and the super capacitor, so that the SOC of the lithium battery and the super capacitor is controlled by adopting the overcharge and overdischarge protection technology to assist the fuzzy control.
Disclosure of Invention
The invention aims to provide a novel fuzzy control-based energy management method for a high-power load composite energy storage system on a multi-electric aircraft. The strategy takes the load power requirement and the SOC of a lithium battery and a super capacitor as input of fuzzy control, formulates a corresponding reasoning rule, and selects a proper reasoning method and a defuzzification method to realize the fuzzy control of the output power of two energy storage elements. The control signal generated by the fuzzy controller is regulated by the SOC current limiting module, so that the phenomenon of overcharge and overdischarge is prevented.
Firstly, a fuzzy controller of the composite energy storage system power is established, accurate reasoning calculation from input to output can be realized according to a set reasoning rule by adopting a Mamdani type reasoning method, a fuzzy set of output quantity is obtained, then defuzzification processing is carried out on the output quantity by adopting a P-gravity center method, namely the influence of a non-maximum membership point is considered, and the action of the maximum membership point is highlighted, so that the transient sudden change of high peak power caused by a high-power pulse load is well dealt with, and the stability of the system bus voltage under an uncertain condition is improved.
And judging whether the SOC of the lithium battery and the super capacitor can meet the current load power requirement, so that the system intervenes in time when the SOC of the lithium battery and the super capacitor is in the set warning area and the set dangerous area, correcting a control signal transmitted by the fuzzy controller, and prolonging the service life of the lithium battery and the super capacitor.
Specifically, the invention provides a fuzzy control-based energy management method for a high-power pulse load composite energy storage system on a multi-electric aircraft, and the strategy comprises the following steps:
and S1, acquiring the load power requirement of the energy storage system, wherein the SOC of the lithium battery and the super capacitor is used as the input quantity of fuzzy control. Then, designing membership functions by using a triangle function and a trapezoid function, and fuzzifying the input quantity.
S2, setting a lithium battery discharge power requirement threshold, and discharging the lithium battery when the power requirement is not greater than the threshold in a discharge mode; otherwise, the lithium battery and the super capacitor are discharged together; meanwhile, the control logics such as power output of the lithium battery and the super capacitor are adjusted according to the SOC states of the lithium battery and the super capacitor to set an inference rule.
S3, adopting a Mamdani type inference method to enable a fuzzy set A = load power and B 1 = lithium cell SOC, B 2 Distribution coefficient of = super capacitor SOC, C = super capacitor, and membership function is set as
u C (z), reasoning process:
according to the definition of the Mamdani fuzzy relation, there are:
in the formula (I), the compound is shown in the specification,
representing a fuzzy relation, and the meaning of the expression is Cartesian product (taking small).
At this time there are
Wherein A is * 、B 1 * 、B 2 * Represents a given fact, C * Representing the inference result;
is A ≈ A * Maximum value of membership function, representing A * The degree of adaptation to a.
And
have similar meanings and respectively represent B 1 * To B 1 Degree of adaptation of (A) and (B) 2 * To B 2 The degree of adaptation of (c).
S4, adopting a P-gravity center method as a defuzzification mode, and carrying out fuzzy reasoning on a result
Reverting back to a single value. Df for clarity of P-centroid method p (z) represents
Wherein p is the maximum projection degree, and is generally the value between [2,5 ].
And obtaining the distribution coefficient of the super capacitor module, calculating the distribution coefficient of the lithium battery module according to the distribution coefficient, converting the distribution coefficient into the current reference quantity of the super capacitor and the lithium battery, and transmitting the current reference quantity to the SOC current limiting module.
And S6, judging the areas where the current SOC values of the lithium battery and the super capacitor are located, and correspondingly adjusting the current reference values of the lithium battery and the super capacitor. Comparing the finally obtained current reference value of the lithium battery with the current feedback value to obtain a current deviation signal, and comparing the deviation signal with a carrier after PI regulation to generate a PWM wave to control a bidirectional DCDC converter connected with the lithium battery; and comparing the obtained super-capacitor current reference value with a current feedback value to obtain a current deviation signal, and comparing the deviation signal with a carrier after PI regulation to generate a PWM wave to control a bidirectional DCDC converter connected with the super-capacitor.
Further, when the state of charge of the super-capacitor or the lithium battery enters the discharge alert region or the charge alert region, the reference value of the discharge current or the reference number of the charge current thereof will be correspondingly reduced.
In the formula I battref 、I SCref Reference currents of a lithium battery and a super capacitor respectively; k is a radical of batt 、k SC Power distribution coefficients of the lithium battery and the super capacitor module are respectively obtained; alpha is alpha ch 、α disch The reduction coefficients of the current of the lithium battery in the charging state and the discharging state are respectively; beta is a beta ch 、β disch The current reduction coefficients of the super capacitor in the charging state and the discharging state are respectively; v b 、V SC The terminal voltages of the lithium battery and the super capacitor are respectively; p load Power is demanded for the load.
Further, when the super capacitor or the lithium battery enters the discharge forbidden region or the charge forbidden region, the current reference value of the super capacitor or the lithium battery is reduced to 0, namely, the discharge or the charge is stopped.
Further, the finally obtained I battref Comparing the current feedback value with a lithium battery current feedback value to obtain a current deviation signal, and comparing the deviation signal with a carrier after PI regulation to generate a PWM wave to control a bidirectional DCDC converter connected with the lithium battery; obtained I SCref And comparing the current feedback value with the super capacitor current feedback value to obtain a current deviation signal, and comparing the deviation signal with a carrier after PI regulation to generate a PWM wave to control the bidirectional DCDC converter connected with the super capacitor.
Further, the discharge power requirement threshold of the lithium battery is 30kw.
The invention has the advantages that:
the invention realizes the energy management method of the airborne composite energy storage system based on fuzzy control, realizes the high-efficiency energy supply to the high-power pulse load, and further meets the requirements of miniaturization and light weight of airborne equipment of multi-electric airplanes.
The invention realizes the overcharge and overdischarge protection of the lithium battery and the super capacitor, maximally reduces the service life attenuation of the lithium battery and the super capacitor, and prolongs the service life of the energy storage system.
The energy management method provided by the invention can also be used for composite energy storage systems of other airborne equipment.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a control block diagram of the composite energy storage system of the present invention.
FIG. 2 is a diagram of the fuzzy logic system inference structure of the present invention.
FIG. 3 is an equivalent model diagram of the composite energy storage system of the present invention.
FIG. 4 shows the membership function of fuzzy logic of the present invention, where (a) corresponds to the load power, and (b) and (c) correspond to the SOC of the lithium battery and the super capacitor, respectively.
FIG. 5 is a fuzzy rule table of the present invention.
FIG. 6 is a simulation model of the fuzzy control module of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The invention provides a block diagram of a control module established according to a composite energy storage system of a multi-electric aircraft, which is shown in figure 1 and has the core of a power distribution module formed by a fuzzy controller. The fuzzy controller is established according to a fuzzy logic system reasoning structure shown in fig. 2, the calculation result is adjusted by the SOC current limiting module, and finally the generated PWM wave signal controls the bidirectional DCDC converter connected to the lithium battery and the super capacitor, respectively, to realize the control of the power flow between the composite energy storages. The following is a detailed description:
the high-power pulse load composite energy storage system on the multi-electric airplane is composed of a lithium battery, a super capacitor, a bidirectional DCDC converter and a controller, and is shown in fig. 3. The super capacitor and the lithium ion battery are respectively connected with the direct current bus in parallel through the bidirectional DC-DC converter, the energy storage system judges that the super capacitor and the lithium ion battery are currently in a charging/discharging mode according to the current direction of the direct current bus and according to the voltage U of the direct current bus dc To control both energy storage elements. The voltage outer ring of the controller is used for maintaining the stability of 270V direct current voltage, and the current inner ring is used for controlling current so as to adjust the output power of the lithium battery and the super capacitor.
The energy management method of the high-power pulse load composite energy storage system on the multi-electric aircraft comprises the following concrete implementation steps:
input quantity fuzzification and fuzzy rule table establishment
Firstly, determining the universe of the load power as X = -100,0, 100, 200, 300, 400, 500 and 600, designing the membership function in figure 4 by using a triangle function and a trapezoid function, and fuzzifying the load power, the lithium battery SOC and the supercapacitor SOC according to the corresponding membership function, wherein the universe of the load power is Y = {0, 20, 40, 60, 80 and 100 }.
Setting a lithium battery discharge power requirement threshold, and discharging the lithium battery when the power requirement is not greater than the threshold in a discharge mode; otherwise, the lithium battery and the super capacitor are discharged together; meanwhile, the respective power output and other control logics of the lithium battery and the super capacitor are adjusted according to the SOC states of the lithium battery and the super capacitor to set an inference rule, and a fuzzy rule table as shown in figure 5 is formed. The discharge power requirement threshold of the lithium battery is 30kw.
Fuzzy reasoning is carried out by adopting a Mamdani type reasoning method, and a gravity center method is adopted as a defuzzification method
The universe of distribution coefficients of the super capacitor Z = {0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1}, so that the fuzzy set A = load power and B 1 = lithium battery SOC, B 2 The distribution coefficients of the = super capacitor SOC and C = super capacitor are set as the membership function designed in the first step
u C (z), reasoning process:
according to the definition of the Mamdani fuzzy relation, there are:
in the formula (I), the compound is shown in the specification,
representing a fuzzy relation, and the meaning of the expression is Cartesian product (taking small).
At this time there are
Wherein A is * 、B 1 * 、B 2 * Indicating the given fact that, in the present invention, are the precise amounts, C * Representing the inference result;
is A ≈ A * Maximum value of membership function, denoted A * The degree of adaptation to a.
And
have similar meanings and respectively represent B 1 * To B 1 Degree of adaptation of and B 2 * To B 2 The degree of adaptation of (c).
The excitation strength, referred to as the fuzzy rule, indicates the extent to which the antecedent part of the fuzzy rule is satisfied. Inference result C * Is the excited strength omega of the membership function of the fuzzy set C,
results after truncation
Then, the gravity center is used as a defuzzification mode, and the fuzzy reasoning result is obtained
Restoring to a single value, adopting a P-gravity center method as a defuzzification mode, and carrying out fuzzy reasoning on a result
Reverting back to a single value. Df for clarity of P-centroid method p (z) represents
Wherein p is generally between [2,5] and is the maximum protrusion.
Thereby obtaining the distribution coefficient k of the super capacitor module sc ＝df p (z) and calculating the distribution coefficient k of the lithium battery module according to the distribution coefficient batt And the reference current quantity converted into the reference current quantity of the super capacitor and the lithium battery is transmitted to the SOC current limiting module.
Overcharge and overdischarge protection link with energy storage system
According to respective characteristics, 5 divided areas of SOC working intervals of a lithium battery and a super capacitor are specifically divided into:
the working interval of the lithium battery is as follows:
the working interval of the super capacitor is as follows:
when the state of charge of the super capacitor or the lithium battery enters the discharge alert region or the charge alert region, the discharge current reference value or the charge current reference number of the super capacitor or the lithium battery is correspondingly reduced.
In the formula I battref 、I SCref Reference currents of the lithium battery and the super capacitor are respectively; k is a radical of batt 、k SC Power distribution coefficients of the lithium battery and the super capacitor module are respectively obtained; alpha is alpha ch 、α disch The reduction coefficients of the current of the lithium battery in the charging and discharging states respectively; beta is a ch 、β disch The current reduction coefficients of the super capacitor in the charging state and the discharging state are respectively; v b 、V SC The terminal voltages of the lithium battery and the super capacitor are respectively; p load Power is demanded for the load.
When the super capacitor or the lithium battery enters the discharge forbidden area or the charge forbidden area, the current reference value of the super capacitor or the lithium battery is reduced to 0, and discharging or charging is stopped.
Finally obtained I battref With lithiumComparing the battery current feedback values to obtain a current deviation signal, and comparing the deviation signal with a carrier after PI regulation to generate a PWM wave to control a bidirectional DCDC converter connected with a lithium battery; obtained I SCref Comparing with the super capacitor current feedback value to obtain a current deviation signal, and comparing the deviation signal with a carrier after PI regulation to generate a PWM wave to control a bidirectional DCDC converter connected with the super capacitor
Fig. 6 is a simulation model of the fuzzy control module of the present invention, and the verification of the energy management method of the multi-electric aircraft high-power pulse load energy storage system of the present invention can be realized by performing simulation based on the model of fig. 6.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (9)
1. An energy management method of a multi-electric-aircraft high-power pulse load energy storage system based on fuzzy control is characterized by comprising the following steps:
s1, acquiring a load power requirement of an energy storage system, using SOC of a lithium battery and a super capacitor as input quantity of fuzzy control, designing a membership function by using a triangular function and a trapezoidal function, and fuzzifying the input quantity;
s2, setting a lithium battery discharge power requirement threshold, and discharging the lithium battery when the power requirement is not greater than the threshold in a discharge mode; otherwise, the lithium battery and the super capacitor are discharged together; meanwhile, the control logics such as power output and the like of the lithium battery and the super capacitor are adjusted according to the SOC states of the lithium battery and the super capacitor to set an inference rule;
s3, adopting a Mamdani type inference method to enable the fuzzy set A to be load power and B to be load power 1 Is lithium battery SOC, B 2 Is the super capacitor SOC, C is the distribution coefficient of the super capacitor, and the membership function is
u C (z)；
S4, adopting a P-gravity center method as a defuzzification mode, and carrying out fuzzy inference on a result
Reducing the value back to a single value;
step S5, dividing SOC working intervals of the lithium battery and the super capacitor into 5 areas according to respective characteristics;
s6, judging the areas where the current SOC values of the lithium battery and the super capacitor are located, correspondingly adjusting respective current reference values, comparing the finally obtained current reference values of the lithium battery with a current feedback value to obtain a current deviation signal, and comparing the deviation signal with a carrier after PI adjustment to generate a PWM wave to control a bidirectional DCDC converter connected with the lithium battery; and comparing the obtained super-capacitor current reference value with a current feedback value to obtain a current deviation signal, and comparing the deviation signal with a carrier to generate a PWM (pulse-width modulation) wave to control a bidirectional DCDC converter connected with the super-capacitor after the deviation signal is subjected to PI (proportion integration) regulation.
2. The energy management method of the fuzzy control-based multi-electric aircraft high-power pulse load energy storage system according to claim 1, wherein:
the reasoning method specifically comprises the following steps:
according to the definition of the Mamdani fuzzy relation,
in the formula (I), the compound is shown in the specification,
expressing a fuzzy relation, wherein the meaning of the expression is that the Cartesian product is small;
wherein A is * 、B 1 * 、B 2 * Denotes the given fact, C * Representing the inference result;
is A ≈ A * Maximum value of membership function, representing A * For the degree of adaptation of the a, the b,
and
respectively represent B 1 * To B 1 Degree of adaptation of and B 2 * To B 2 The degree of adaptation of (c).
3. The energy management method of the fuzzy control-based multi-electric aircraft high-power pulse load energy storage system according to claim 1, wherein:
df for clarity of P-centroid method p (z) represents:
wherein p is the value between [2,5], which is the maximum projection;
therefore, the distribution coefficient of the super capacitor module is obtained, the distribution coefficient of the lithium battery module is calculated according to the distribution coefficient, and the distribution coefficient is converted into the current reference quantity of the super capacitor and the lithium battery and is transmitted to the SOC current limiting module.
4. The energy management method of the fuzzy control-based multi-electric aircraft high-power pulse load energy storage system according to claim 1, wherein: the method comprises the steps of establishing a fuzzy controller of the power of the composite energy storage system, adopting a Mamdani type reasoning method to realize accurate reasoning calculation from input to output according to a set reasoning rule to obtain a fuzzy set of output quantities, and then adopting a P-gravity center method to perform defuzzification processing on the output quantities, namely considering the influence of a non-maximum membership point and highlighting the action of the maximum membership point, so that the high peak power instantaneous mutation caused by a high-power pulse load can be well dealt with, the stability of the system bus voltage under an uncertain condition can be improved, and the high-efficiency energy supply of the high-power pulse load and the miniaturization and light weight of airborne equipment are realized.
5. The energy management method of the fuzzy control-based multi-electric aircraft high-power pulse load energy storage system according to claim 1, wherein: and judging whether the SOC of the lithium battery and the super capacitor can meet the current load power requirement or not, so that the system intervenes in time when the SOC of the lithium battery and the super capacitor is in the set warning area and the set dangerous area, corrects a control signal transmitted by the fuzzy controller, avoids overcharge and overdischarge of the lithium battery and the super capacitor, and prolongs the service life of the energy storage system.
6. The energy management method of the fuzzy control-based multi-electric aircraft high-power pulse load energy storage system according to claim 1, wherein:
when the state of charge of the super capacitor or the lithium battery enters the discharge alert region or the charge alert region, the discharge current reference value or the charge current reference number of the super capacitor or the lithium battery is correspondingly reduced.
In the formula I battref 、I SCref Reference currents of the lithium battery and the super capacitor are respectively; k is a radical of batt 、k SC Power distribution coefficients of the lithium battery and the super capacitor module are respectively obtained; alpha is alpha ch 、α disch The reduction coefficients of the current of the lithium battery in the charging and discharging states respectively; beta is a ch 、β disch The current reduction coefficients of the super capacitor in the charging state and the discharging state are respectively; v b 、V SC The terminal voltages of the lithium battery and the super capacitor are respectively; p load Power is demanded for the load.
7. The energy management method of the fuzzy control-based multi-electric aircraft high-power pulse load energy storage system according to claim 6, wherein:
when the super capacitor or the lithium battery enters a discharge forbidden region or a charge forbidden region, the current reference value of the super capacitor or the lithium battery is reduced to 0, and discharging or charging is stopped.
8. The energy management method of the multi-electric aircraft high-power pulse load energy storage system based on fuzzy control as claimed in claim 7, wherein:
finally obtained I battref Comparing the current feedback value with a lithium battery current feedback value to obtain a current deviation signal, and comparing the deviation signal with a carrier after PI regulation to generate a PWM wave to control a bidirectional DCDC converter connected with the lithium battery; obtained I SCref And comparing the current feedback value with the super capacitor current feedback value to obtain a current deviation signal, and comparing the deviation signal with a carrier after PI regulation to generate a PWM wave to control the bidirectional DCDC converter connected with the super capacitor.
9. The energy management method of the fuzzy control-based multi-electric aircraft high-power pulse load energy storage system according to claim 1, wherein: the discharge power requirement threshold of the lithium battery is 30kw.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210834880.7A CN115208012B (en) | 2022-07-15 | Energy management method of high-power pulse load energy storage system of multi-electric aircraft based on fuzzy control |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210834880.7A CN115208012B (en) | 2022-07-15 | Energy management method of high-power pulse load energy storage system of multi-electric aircraft based on fuzzy control |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115208012A true CN115208012A (en) | 2022-10-18 |
| CN115208012B CN115208012B (en) | 2024-05-10 |
Family
ID=
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0690551A1 (en) * | 1994-07-01 | 1996-01-03 | Consorzio per la Ricerca sulla Microelettronica nel Mezzogiorno - CoRiMMe | Fuzzy control logic for switching power supplies and device for performing it |
| CN103956769A (en) * | 2014-04-08 | 2014-07-30 | 华中科技大学 | Method for controlling grid-connected inverter of micro grid based on fuzzy PI algorithm |
| US20150149799A1 (en) * | 2013-11-26 | 2015-05-28 | Nec Laboratories America, Inc. | Power coordination system for hybrid energy storage system |
| CN109494777A (en) * | 2018-12-07 | 2019-03-19 | 重庆大学 | A kind of mixed energy storage system energy compatibility distribution control method |
| CN112467717A (en) * | 2020-11-13 | 2021-03-09 | 上海明华电力科技有限公司 | Hybrid energy system real-time load distribution method based on fuzzy control |
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0690551A1 (en) * | 1994-07-01 | 1996-01-03 | Consorzio per la Ricerca sulla Microelettronica nel Mezzogiorno - CoRiMMe | Fuzzy control logic for switching power supplies and device for performing it |
| US20150149799A1 (en) * | 2013-11-26 | 2015-05-28 | Nec Laboratories America, Inc. | Power coordination system for hybrid energy storage system |
| CN103956769A (en) * | 2014-04-08 | 2014-07-30 | 华中科技大学 | Method for controlling grid-connected inverter of micro grid based on fuzzy PI algorithm |
| CN109494777A (en) * | 2018-12-07 | 2019-03-19 | 重庆大学 | A kind of mixed energy storage system energy compatibility distribution control method |
| CN112467717A (en) * | 2020-11-13 | 2021-03-09 | 上海明华电力科技有限公司 | Hybrid energy system real-time load distribution method based on fuzzy control |
Non-Patent Citations (3)
| Title |
|---|
| 冯茂;马辉;赵金刚;危伟;: "适用于燃料电池混合供电系统的能量管理策略", 电力科学与工程, no. 12, 28 December 2019 (2019-12-28) * |
| 李汝军;: "基于模糊PI控制的超级电容再生制动系统研究与分析", 公路, no. 05, 25 May 2017 (2017-05-25) * |
| 黄伟;熊伟鹏;车文学;: "模糊控制在风光混合储能微网系统中的应用", 现代电力, no. 01, 10 February 2017 (2017-02-10) * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Khan et al. | Fuzzy logic based energy storage management system for MVDC power system of all electric ship | |
| Akar et al. | An energy management strategy for a concept battery/ultracapacitor electric vehicle with improved battery life | |
| CN108565887B (en) | Control method for maintaining micro-grid bus voltage partition curve dynamic droop in energy storage link | |
| CN110048460B (en) | Intelligent integrated control method for BESS (beam-assisted satellite service) participating in primary frequency modulation of power grid | |
| US20120104861A1 (en) | High voltage electric accumulators with internal distributed dc-dc converters for self regulation and protection | |
| KR20140097286A (en) | Device for balancing the charge of the elements of an electrical power battery | |
| CN112952862B (en) | Hybrid energy storage frequency division coordination controller for stabilizing wind power fluctuation and implementation method | |
| Joshi et al. | Frequency sharing based control of battery/ultracapacitor hybrid energy system in the presence of delay | |
| CN106877432B (en) | Hybrid energy storage system for stabilizing wind power fluctuation | |
| Abronzini et al. | Thermal management optimization of a passive bms for automotive applications | |
| Kurm et al. | Hybrid energy storage system based on a novel reduced rating multi-input converter | |
| CN112671008A (en) | Active power regulation margin quantitative calculation method for energy storage station participating in primary frequency modulation | |
| CN115313453A (en) | Multi-energy-storage-system coordination control method based on SOC improved droop control algorithm | |
| Traoré et al. | Energy management strategy design based on frequency separation, fuzzy logic and Lyapunov control for multi-sources electric vehicles | |
| Xiao et al. | Design of a novel fully-active PEMFC-Lithium battery hybrid power system based on two automatic ON/OFF switches for unmanned aerial vehicle applications | |
| CN112510803B (en) | Single-channel module of airplane distributed power grid structure, power generation system and control method | |
| US20240088700A1 (en) | Battery management controllers and associated methods | |
| Gamage et al. | Design of ANFIS Controller for a DC Microgrid | |
| Boukoberine et al. | A frequency separation rule-based power management strategy for a hybrid fuel cell-powered drone | |
| CN115208012A (en) | Energy management method of multi-electric-aircraft high-power pulse load energy storage system based on fuzzy control | |
| Li et al. | Autonomous energy management strategy for a hybrid power system of more-electric aircraft based on composite droop schemes | |
| CN115208012B (en) | Energy management method of high-power pulse load energy storage system of multi-electric aircraft based on fuzzy control | |
| Rasheed et al. | Multi-loop control of hybrid li-ion battery packs using the auxiliary dc bus for state-of-charge regulation | |
| Ma et al. | A novel energy management strategy based on minimum internal loss for a Fuel Cell UAV | |
| TWI793489B (en) | Control system and method of fuel cell stacks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |