CN115092012B - Equivalent state of charge estimation method considering multiple working modes of composite power supply system - Google Patents
Equivalent state of charge estimation method considering multiple working modes of composite power supply system Download PDFInfo
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- CN115092012B CN115092012B CN202210857107.2A CN202210857107A CN115092012B CN 115092012 B CN115092012 B CN 115092012B CN 202210857107 A CN202210857107 A CN 202210857107A CN 115092012 B CN115092012 B CN 115092012B
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- 239000002131 composite material Substances 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 25
- 239000003990 capacitor Substances 0.000 claims abstract description 45
- 238000004364 calculation method Methods 0.000 claims description 10
- 101100229738 Mus musculus Gpank1 gene Proteins 0.000 claims description 3
- 150000001875 compounds Chemical class 0.000 claims 2
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000004422 calculation algorithm Methods 0.000 abstract description 2
- 230000010287 polarization Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004146 energy storage Methods 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
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- 229910001416 lithium ion Inorganic materials 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/12—Recording operating variables ; Monitoring of operating variables
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L50/00—Electric propulsion with power supplied within the vehicle
- B60L50/40—Electric propulsion with power supplied within the vehicle using propulsion power supplied by capacitors
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L50/00—Electric propulsion with power supplied within the vehicle
- B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
- B60L50/60—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/52—Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance
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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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention provides an equivalent state of charge estimation method considering multiple working modes of a vehicle composite power supply system, which is specifically completed by a method based on comprehensive weight factors. The method comprises the following steps: s1, obtaining maximum discharge capacities of a battery pack and a super capacitor, and the battery packAnd the output power of the super capacitor; s2, determining the working mode state of the vehicle according to the output power of the battery pack and the super capacitor; s3, calculating the state of charge (SOC) of the battery pack bat And state of charge SOC of super capacitor uc Equivalent state of charge ESOC weighting factor lambda bat And lambda (lambda) uc The value is taken in the working mode state; s4, calculating an equivalent state of charge ESOC, wherein: esoc=λ bat SOC bat +λ uc SOC uc . The method has the advantages that the flow is simple, the algorithm is not complex, the method is convenient to embed into the composite power management system for the vehicle, the equivalent state of charge estimation of the composite power system for the vehicle under different working modes is realized, and meanwhile, the data support can be provided for the accurate prediction of the driving distance of the electric vehicle, so that the method has a plurality of beneficial effects which are not possessed in the prior art.
Description
Technical Field
The invention relates to the technical field of management of a composite power supply system for a vehicle, in particular to an equivalent state of charge estimation method considering multiple working modes of a composite power supply system.
Background
The composite power supply system composed of the lithium ion battery and the super capacitor can meet the dual requirements of the electric automobile on high specific energy and high specific power, and becomes one of important development directions of the automobile industry. State of Charge (SOC) estimation methods for single energy storage systems, especially power cells/supercapacitors, are relatively well established in the art. However, the technology of estimating the equivalent state of charge ESOC by considering the composite power supply system as a whole is still relatively poor. ESOC is also an important parameter that can provide data support for accurate prediction of the distance travelled by an electric vehicle, while the driver can arrange travel appropriately according to the magnitude of the value. If the ESOC estimation is inaccurate, it may cause the vehicle to break down on the road due to insufficient energy, and even possibly cause a traffic accident.
Meanwhile, in the face of complex automobile operation conditions, each energy storage element in the composite power supply system is required to be in an on or off state according to different optimization targets, and the composite power supply system is also required to be in different working modes so as to fully exert the advantages of the battery and the super capacitor and meet the power requirements of the system. However, this flexible mode of operation of the composite power supply system makes it difficult for existing state-of-charge estimation techniques for the battery/supercapacitor to reflect the remaining energy and power output capabilities of the composite power supply system as a whole in the current mode of operation.
Disclosure of Invention
In view of the above, the invention provides an equivalent state of charge estimation method considering multiple working modes of a composite power supply system, which has simple flow, uncomplicated algorithm, is convenient to be embedded into a composite power supply management system for a vehicle, realizes the equivalent state of charge estimation of the composite power supply system under different working modes, and can provide data support for accurate prediction of the driving distance of an electric vehicle, thereby having many beneficial effects which are not possessed in the prior art, and being suitable for the composite power supply vehicle consisting of a battery pack and a super capacitor. The method comprises the following steps:
s1, obtaining the maximum discharge capacities of the battery pack and the super capacitor and the output power of the battery pack and the super capacitor;
s2, determining the working mode state of the vehicle according to the output power of the battery pack and the super capacitor;
s3, calculating the state of charge (SOC) of the battery pack bat And state of charge SOC of super capacitor uc Equivalent state of charge ESOC weighting factor lambda bat And lambda (lambda) uc The value is taken in the working mode state;
s4, calculating an equivalent state of charge ESOC, wherein:
ESOC=λ bat SOC bat +λ uc SOC uc 。
further, the step S2 specifically includes:
s21, defining a symbol function m 1 、m 2 、m 3 And m 4 The method specifically comprises the following steps:
wherein P is ave And P batmax Respectively representing the average output power and the maximum output power of the battery pack; p (P) bat And P uc Respectively representing the output power of the battery pack and the super capacitor pack;
s22, judging the current working mode state of the composite power supply system according to the symbol function, wherein the working mode state is specifically as follows:
if m is 1 =1、m 2 =0、m 3 Less than or equal to 0 and m 4 < 0, then in operational mode 1;
if 0 < m 1 <1、0<m 2 <1、m 3 =0 and m 4 < 0, then in operational mode 2;
if 0 < m 1 <1、0<m 2 <1、m 3 > 0 and m 4 =0, then in operating mode 3;
if m is 1 ≤0、m 2 ≤0、m 3 < 0 and m 4 < 0, then in operational mode 4;
otherwise, the operation mode 5 is set.
Further, the step S3 specifically includes:
if the operating state of the vehicle composite power supply system is in mode 1, then:
wherein lambda is bat1 And lambda (lambda) uc1 Respectively represent the SOC when the composite power supply system is in the working mode 1 bat And super SOC uc Weight size of (2);
if the operating state of the vehicle composite power supply system is in mode 2, then:
wherein lambda is bat2 And lambda (lambda) uc2 Respectively represent the SOC when the composite power supply system is in the working mode 2 bat And SOC (System on chip) uc Weight size of (2); c (C) C The ratio of the maximum available capacity of the battery pack to the maximum available total capacity of the composite power supply system is set; i represents a vehicle driving condition, i=1 represents a driving condition 1; n is n i Is a capacity change probability function under driving working condition i.
If the working state of the vehicle composite power supply system is in a mode 3, the calculation method is the same as that of the mode 2;
if the operating state of the vehicle composite power supply system is in mode 4, then:
wherein lambda is bat4 And lambda (lambda) uc4 Respectively represent the SOC when the composite power supply system is in the working mode 4 bat And SOC (System on chip) uc Weight size of (2); c (C) bat And C uc Representing the maximum available capacities of the battery pack and the super capacitor pack, respectively;
if the working state of the vehicle composite power supply system is in the mode 5, the calculation method is the same as that of the mode 4.
Further, when the working state of the vehicle composite power supply system is in the mode 2, the ratio C of the maximum available capacity of the battery pack to the maximum available total capacity of the composite power supply system C Capacity change probability function n under driving condition i i The calculation method of (1) is as follows:
t 2 =t 21 +t 22 +...+t 2i ,i=1,2,3,4,....
wherein C is bat And C uc Representing the maximum available capacities of the battery pack and the super capacitor pack, respectively; t is t 2i 、C a2i And C b2i Respectively representing the duration of the vehicle when the composite power supply system is in the mode 2 under the driving working condition i, the capacity change rate of the battery pack and the capacity change rate of the super capacitor pack; t is t 2 For the total duration that all conditions persist in mode 2.
Drawings
The invention is further described below with reference to the accompanying drawings and examples:
FIG. 1 is a flow chart of an equivalent state of charge estimation method that considers multiple operational modes of a composite power system;
FIG. 2 is an equivalent circuit model of an established vehicle composite power supply system;
FIG. 3 is a schematic diagram of a specific operation mode and a running state transition path of the vehicle composite power system;
fig. 4 is a graph of simulated verification effects of ESOC indicators of equivalent states of charge of the composite power supply system in different operating modes when the vehicle is in a comprehensive driving condition.
Detailed Description
The invention provides an equivalent state of charge estimation method considering a multi-working mode of a composite power supply system, which is suitable for a composite power supply vehicle consisting of a battery pack and a super capacitor, and comprises the following steps:
s1, obtaining the maximum discharge capacities of the battery pack and the super capacitor and the output power of the battery pack and the super capacitor;
s2, determining the working mode state of the vehicle according to the output power of the battery pack and the super capacitor;
s3, calculating the state of charge (SOC) of the battery pack bat And state of charge SOC of super capacitor uc Equivalent state of charge ESOC weighting factor lambda bat And lambda (lambda) uc The value is taken in the working mode state;
s4, calculating an equivalent state of charge ESOC, wherein:
ESOC=λ bat SOC bat +λ uc SOC uc 。
in this embodiment, an equivalent circuit model of a composite power supply system for a vehicle is established, and as shown in fig. 2, the equivalent circuit is composed of a voltage source U oc An ohmic internal resistance R 0 Polarization resistor R connected in parallel b And polarization capacitor C b The serial connection is formed in sequence, and the specific form is as follows:
wherein i is 0 Representing charge-discharge current; u (U) oc 、U b And U t Respectively representing an open circuit voltage, a polarization voltage and an output voltage;
in this embodiment, a transmission model of the vehicle is established, which is embodied in the following form:
wherein P is req Representing the required power of the vehicle; v a Representing the running speed of the vehicle in km/h; alpha represents the gradient of the road surface on which the vehicle is running; η, m, f, C ar A and delta respectively represent the transmission system efficiency, full load mass, rolling resistance coefficient, air resistance coefficient, windward area and rotational mass correction coefficient of the vehicle; g represents the gravitational acceleration.
In this embodiment, the step S2 specifically includes:
s21, defining a symbol function m 1 、m 2 、m 3 And m 4 The method specifically comprises the following steps:
wherein P is ave And P batmax Respectively representing the average output power and the maximum output power of the battery pack; p (P) bat And P uc Respectively representing the output power of the battery pack and the super capacitor pack;
s22, judging the current working mode state of the composite power supply system according to the symbol function, wherein the working mode state is specifically as follows:
if m is 1 =1、m 2 =0、m 3 Less than or equal to 0 and m 4 < 0, then in operational mode 1;
if 0 < m 1 <1、0<m 2 <1、m 3 =0 and m 4 < 0, then in operational mode 2;
if 0 < m 1 <1、0<m 2 <1、m 3 > 0 and m 4 =0, then in operating mode 3;
if m is 1 ≤0、m 2 ≤0、m 3 < 0 and m 4 < 0, then in operational mode 4;
otherwise, the operation mode 5 is set.
In this embodiment, a specific operation mode and a running state transition path thereof are as shown in fig. 3, and the mode 1 refers to: 0 < P req ≤P ave At this time P req Smaller, the battery pack can independently and continuously meet the power and energy requirements of the driving motor, namely P bat =P req 、P uc =0;
The mode 2 refers to: 0 < P ave <P req ≤P batmax ,P req Is divided into two parts, wherein the battery pack continuously outputs P ave The super capacitor group outputs the rest power, namely P bat =P ave 、P uc =P req -P bat ;
The mode 3 refers to: 0 < P batmax <P req Battery pack output P batmax The excess part is borne by the super capacitor group, namely P bat =P batmax 、P uc =P req -P bat ;
The mode 4 refers to: p (P) req < 0; in this case, the feedback electric energy generated by the vehicle braking is preferentially absorbed by the super capacitor bank until the SOC uc When the peak charging power reaches the upper limit value, the battery pack recovers the residual energy according to the peak charging power;
the mode 5 refers to: p (P) req =0; in this mode, the vehicle is in a standby state, in which neither the battery pack nor the supercapacitor pack outputs/recovers any power or energy to/from the driving motor, i.e., P bat =0、P uc =0;
In this embodiment, the step S3 specifically includes:
if the operating state of the vehicle composite power supply system is in mode 1, then:
wherein lambda is bat1 And lambda (lambda) uc1 Respectively represent the SOC when the composite power supply system is in the working mode 1 bat And super SOC uc Weight size of (2);
if the operating state of the vehicle composite power supply system is in mode 2, then:
wherein lambda is bat2 And lambda (lambda) uc2 Respectively represent the SOC when the composite power supply system is in the working mode 2 bat And SOC (System on chip) uc Weight size of (2); c (C) C The ratio of the maximum available capacity of the battery pack to the maximum available total capacity of the composite power supply system is set; i represents a vehicle driving condition, i=1 represents a driving condition 1; n is n i Is a capacity change probability function under driving working condition i.
If the operation state of the vehicle composite power system is in the mode 3, at this time P req The battery pack and the super capacitor pack are also commonly born, so that the calculation method is the same as that of the mode 2;
if the operating state of the vehicle composite power supply system is in mode 4, then:
wherein lambda is bat4 And lambda (lambda) uc4 Respectively represent the SOC when the composite power supply system is in the working mode 4 bat And SOC (System on chip) uc Weight size of (2); c (C) bat And C uc Representing the maximum available capacities of the battery pack and the super capacitor pack, respectively;
if the operation state of the vehicle composite power supply system is in the mode 5, the vehicle is in the standby state, and the calculation method is the same as that of the mode 4.
The implementation isIn an example, when the working state of the vehicle composite power system is in the mode 2, the ratio C of the maximum available capacity of the battery pack to the maximum available total capacity of the composite power system C Capacity change probability function n under driving condition i i The calculation method of (1) is as follows:
t 2 =t 21 +t 22 +...+t 2i ,i=1,2,3,4,....
wherein C is bat And C uc Representing the maximum available capacities of the battery pack and the super capacitor pack, respectively; t is t 2i 、C a2i And C b2i Respectively representing the duration of the vehicle when the composite power supply system is in the mode 2 under the driving working condition i, the capacity change rate of the battery pack and the capacity change rate of the super capacitor pack; t is t 2 For the total duration that all conditions persist in mode 2.
In this embodiment, the duration t of the composite power supply system in mode 2 for the vehicle under different driving conditions 2i And capacity change rate C of the battery pack a2i And capacity change rate C of super capacitor group b2i Is obtained by simulation software; in this embodiment, 3 different typical vehicle driving conditions are selected: UDDS (urban operation), WVUSUB (suburban operation), HWFET (high speed operation).
In this embodiment, in the step S4, the SOC bat And SOC (System on chip) uc The estimation method adopts an ampere-hour integration method, and the calculation formula is as follows:
in SOC 0 Initial nuclear power state for battery/super capacitor pack;C n Maximum available capacity for battery/supercapacitor pack; i.e t The current value at the current moment of the battery pack/super capacitor pack.
In this embodiment, simulation operation data of the composite power supply system in different working modes when the vehicle is in the comprehensive driving working condition is shown in fig. 4; general change trend of equivalent state of charge ESOC and battery pack state of charge SOC bat Is consistent and when only the battery pack outputs power, the vehicle hybrid power system is in operating mode 1, equivalent state of charge ESOC and battery pack state of charge SOC bat The curve is in a descending trend, and the super-capacitance charge state SOC uc No change occurs; when the required power is supplied by the battery pack and the super capacitor pack together, the complex power system is in the mode 2 or the mode 3 state, and the state of charge SOC of the battery pack bat Super-capacitor state of charge SOC uc And the ESOC curves of the equivalent state of charge all show a descending trend; when the required power is negative, the composite power supply system is in a mode 4, the super capacitor bank recovers braking energy, and the super capacitor charge state SOC uc The curve rises rapidly and the equivalent state of charge ESOC increases slowly because the principle of operation of the supercapacitor pack is to assist the battery pack in completing the power demand of the load. Therefore, the ESOC index of the equivalent state of charge obtained by the method provided by the invention can reflect the actual available capacity change brought by the whole composite power supply system when different working modes are switched, and meanwhile, the prediction of the running distance of the electric vehicle can be carried out, so that the method has great significance for the stable operation of the composite power supply system.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Claims (2)
1. The utility model provides a consider compound power supply system multiplex mode's equivalent state of charge estimation method, is applicable to the compound power supply vehicle that group battery and super capacitor constitute, its characterized in that: the method comprises the following steps:
s1, obtaining the maximum discharge capacities of the battery pack and the super capacitor and the output power of the battery pack and the super capacitor;
s2, determining the working mode state of the vehicle according to the output power of the battery pack and the super capacitor;
s3, calculating the state of charge (SOC) of the battery pack bat And state of charge SOC of super capacitor uc Equivalent state of charge ESOC weighting factor lambda bat And lambda (lambda) uc The value is taken in the working mode state;
s4, calculating an equivalent state of charge ESOC, wherein:
ESOC=λ bat SOC bat +λ uc SOC uc ;
the step S2 specifically includes:
s21, defining a symbol function m 1 、m 2 、m 3 And m 4 The method specifically comprises the following steps:
wherein P is ave And P batmax Respectively representing the average output power and the maximum output power of the battery pack; p (P) bat And P uc Respectively representing the output power of the battery pack and the super capacitor pack;
s22, judging the current working mode state of the composite power supply system according to the symbol function, wherein the working mode state is specifically as follows:
if m is 1 =1、m 2 =0、m 3 Less than or equal to 0 and m 4 < 0, then in operational mode 1;
if 0 < m 1 <1、0<m 2 <1、m 3 =0 and m 4 < 0, then in operational mode 2;
if 0 < m 1 <1、0<m 2 <1、m 3 > 0 and m 4 =0, then in operating mode 3;
if m is 1 ≤0、m 2 ≤0、m 3 < 0 and m 4 < 0, then in operational mode 4;
otherwise, the device is in the working mode 5;
the step S3 specifically includes:
if the operating state of the vehicle composite power supply system is in mode 1, then:
wherein lambda is bat1 And lambda (lambda) uc1 Respectively represent the SOC when the composite power supply system is in the working mode 1 bat And super SOC uc Weight size of (2);
if the operating state of the vehicle composite power supply system is in mode 2, then:
wherein lambda is bat2 And lambda (lambda) uc2 Respectively represent the SOC when the composite power supply system is in the working mode 2 bat And SOC (System on chip) uc Weight size of (2); c (C) C The ratio of the maximum available capacity of the battery pack to the maximum available total capacity of the composite power supply system is set; i represents a vehicle driving condition, i=1 represents a driving condition 1; n is n i The capacity change probability function is used under the driving working condition i;
if the working state of the vehicle composite power supply system is in a mode 3, the calculation method is the same as that of the mode 2;
if the operating state of the vehicle composite power supply system is in mode 4, then:
wherein lambda is bat4 And lambda (lambda) uc4 Respectively represent the SOC when the composite power supply system is in the working mode 4 bat And SOC (System on chip) uc Weight size of (2); c (C) bat And C uc Representing the maximum available capacities of the battery pack and the super capacitor pack, respectively;
if the working state of the vehicle composite power supply system is in the mode 5, the calculation method is the same as that of the mode 4.
2. The method for estimating the equivalent state of charge taking into account multiple operation modes of a composite power supply system according to claim 1, wherein: when the working state of the vehicle composite power supply system is in the mode 2, the ratio C of the maximum available capacity of the battery pack to the maximum available total capacity of the composite power supply system C Capacity change probability function n under driving condition i i The calculation method of (1) is as follows:
t 2 =t 21 +t 22 +...+t 2i ,i=1,2,3,4,....
wherein C is bat And C uc Representing the maximum available capacities of the battery pack and the super capacitor pack, respectively; t is t 2i 、C a2i And C b2i Respectively representing the duration of the vehicle when the composite power supply system is in the mode 2 under the driving working condition i, the capacity change rate of the battery pack and the capacity change rate of the super capacitor pack; t is t 2 For the total duration that all conditions persist in mode 2.
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