CN106828140A - Electric bus method for parameter configuration and device - Google Patents

Electric bus method for parameter configuration and device Download PDF

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Publication number
CN106828140A
CN106828140A CN201611155782.1A CN201611155782A CN106828140A CN 106828140 A CN106828140 A CN 106828140A CN 201611155782 A CN201611155782 A CN 201611155782A CN 106828140 A CN106828140 A CN 106828140A
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China
Prior art keywords
electric bus
electric
battery
charger
dump energy
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CN106828140B (en
Inventor
杨冰
梁飞宇
陈海洋
李香龙
潘鸣宇
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State Grid Corp of China SGCC
State Grid Beijing Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Beijing Electric Power Co Ltd
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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]
    • B60L58/13—Maintaining the SoC within a determined range
    • 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
    • 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
    • B60L2260/54—Energy consumption estimation
    • 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)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a kind of electric bus method for parameter configuration and device.Method includes：Obtain multigroup electric bus parameter；Battery dump energy according to electric bus at each management and running moment builds battery dump energy matrix, and the charged state according to charger at each management and running moment builds charger charged state matrix；Battery dump energy rank of matrix is calculated, minimum vehicle configuration quantity is obtained, charger charged state rank of matrix is calculated, minimum charger configuration quantity is obtained；According to the consumption models of prebuild, by minimum vehicle configuration quantity and minimum charger configuration quantity input consumption models, selection consumption models are output as during minimum corresponding electric bus parameter as optimal electric bus parameter.The present invention solves and does not account for the quantity of electric bus battery capacity size and charger and cause the technical problem of the configuration of the electrokinetic cell and charger quantity that can not obtain optimal for electric bus operation in the prior art.

Description

Electric bus method for parameter configuration and device
Technical field
The present invention relates to electric automobile field, in particular to a kind of electric bus method for parameter configuration and device.
Background technology
In recent years, with the deterioration of environment, the popularization of electric automobile and using receiving countries in the world government and consumer Favor, electric bus are also received as one of main instrument of public transport significantly to be paid attention to.But electronic public affairs The operation and traditional bus for handing over car can be very different, when the operation of traditional bus only considers the running scheduling of bus Between, and the operation of electric automobile also needs to consider the charging scheduling of electric automobile, therefore when bus routes are designed also Need the power of the amount of capacity, the quantity of charger and charger of the consideration vehicle-mounted electrokinetic cell of electric automobile.In the prior art The charging acc power of the electric bus for only considering, without the dispatching requirement in view of electric bus, does not account for most yet Good electrokinetic cell and charger quantity configuration.
Electric bus battery capacity size is not accounted for for above-mentioned for electric bus operation in the prior art Cause the problem of the configuration of the electrokinetic cell and charger quantity that can not obtain optimal with the quantity of charger, not yet carry at present Go out effective solution.
The content of the invention
A kind of electric bus method for parameter configuration and device are the embodiment of the invention provides, at least to solve prior art In do not account for the quantity of electric bus battery capacity size and charger for electric bus operation and cause can not Obtain the technical problem of the configuration of optimal electrokinetic cell and charger quantity.
A kind of one side according to embodiments of the present invention, there is provided electric bus method for parameter configuration, including：Obtain Multigroup electric bus parameter, the initialization battery capacity of electric bus parameter including electric bus and charger it is initial Change charge power；Battery dump energy according to electric bus at each management and running moment builds battery dump energy square Battle array, and according to charger each management and running moment charged state build charger charged state matrix；Calculate battery Dump energy rank of matrix, configures quantity, and calculates charger and fill to obtain every group of minimum vehicle of electric bus parameter Electricity condition rank of matrix, quantity is configured to obtain every group of minimum charger of electric bus parameter；According to the consumption of prebuild Model, the minimum charger that every group of minimum vehicle of electric bus parameter configures quantity and every group of electric bus parameter is matched somebody with somebody Quantity input consumption models are put, selection consumption models are output as corresponding electric bus parameter during minimum, used as optimal electronic Bus parameter.
Another aspect according to embodiments of the present invention, additionally provides a kind of electric bus parameter configuration device, including：Obtain Modulus block, for obtaining multigroup electric bus parameter, electric bus parameter includes that the initial electrochemical cell of electric bus holds The initialization charge power of amount and charger；Build module, for according to electric bus each management and running moment electricity Pond dump energy builds battery dump energy matrix, and charged state according to charger at each management and running moment builds Charger charged state matrix；Computing module, for calculating battery dump energy rank of matrix, to obtain every group of electric bus The minimum vehicle configuration quantity of parameter, and charger charged state rank of matrix is calculated, to obtain every group of electric bus ginseng Several minimum charger configuration quantity；Selecting module, for the consumption models according to prebuild, by every group of electric bus parameter Minimum vehicle configuration quantity and every group of electric bus parameter minimum charger configuration quantity input consumption models, selection disappears Consumption model is output as corresponding electric bus parameter during minimum, used as optimal electric bus parameter.
In embodiments of the present invention, by obtaining multigroup electric bus parameter, electric bus parameter includes electronic public affairs Hand over the initialization battery capacity of car and the initialization charge power of charger；According to electric bus at each management and running moment Battery dump energy build battery dump energy matrix, and according to charger each management and running moment charged state Build charger charged state matrix；Battery dump energy rank of matrix is calculated, to obtain every group of electric bus parameter most Small vehicle configures quantity, and calculates charger charged state rank of matrix, to obtain every group of minimum of electric bus parameter Charger configures quantity；According to the consumption models of prebuild, by the minimum vehicle configuration quantity of every group of electric bus parameter and The minimum charger configuration quantity input consumption models of every group of electric bus parameter, when selection consumption models are output as minimum pair The electric bus parameter answered, used as optimal electric bus parameter, the present invention can solve the problem that existing fuel bus are changed to electricity After electric bus, the optimal location problem of electric bus vehicle parameter and charger parameter, and optimal fortune can be given Battalion's scheduling and charging scheduling scheme, and then solve and do not account for Electric Transit for electric bus operation in the prior art The quantity of car battery capacity size and charger and cause the configuration of the electrokinetic cell and charger quantity that can not obtain optimal Technical problem.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this hair Bright schematic description and description does not constitute inappropriate limitation of the present invention for explaining the present invention.In the accompanying drawings：
Fig. 1 is a kind of flow chart of electric bus method for parameter configuration according to embodiments of the present invention；And
Fig. 2 is a kind of structure chart of electric bus parameter configuration device according to embodiments of the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention Accompanying drawing, is clearly and completely described to the technical scheme in the embodiment of the present invention, it is clear that described embodiment is only The embodiment of a part of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people The every other embodiment that member is obtained under the premise of creative work is not made, should all belong to the model of present invention protection Enclose.
It should be noted that term " first ", " in description and claims of this specification and above-mentioned accompanying drawing Two " it is etc. for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that so using Data can exchange in the appropriate case, so as to embodiments of the invention described herein can with except illustrating herein or Order beyond those of description is implemented.Additionally, term " comprising " and " having " and their any deformation, it is intended that cover Lid is non-exclusive to be included, for example, the process, method, system, product or the equipment that contain series of steps or unit are not necessarily limited to Those steps or unit clearly listed, but may include not list clearly or for these processes, method, product Or other intrinsic steps of equipment or unit.
Embodiment 1
According to embodiments of the present invention, there is provided a kind of embodiment of the method for electric bus method for parameter configuration is, it is necessary to say It is bright, can be held in the such as one group computer system of computer executable instructions the step of the flow of accompanying drawing is illustrated OK, and, although show logical order in flow charts, but in some cases, can be with different from order herein Perform shown or described step.
Fig. 1 is electric bus method for parameter configuration according to embodiments of the present invention, as shown in figure 1, the method is included such as Lower step：
Step S102, obtains multigroup electric bus parameter, and electric bus parameter includes the initialization of electric bus The initialization charge power of battery capacity and charger.
Step S104, the battery dump energy according to electric bus at each management and running moment builds remaining battery electricity Moment matrix, and according to charger each management and running moment charged state build charger charged state matrix.
Step S106, calculates battery dump energy rank of matrix, to obtain every group of minimum vehicle of electric bus parameter Configuration quantity, and charger charged state rank of matrix is calculated, to obtain every group of minimum charger of electric bus parameter Configuration quantity.
Step S108, according to the consumption models of prebuild, quantity is configured by every group of minimum vehicle of electric bus parameter Minimum charger configuration quantity with every group of electric bus parameter is input into consumption models, when selection consumption models are output as minimum Corresponding electric bus parameter, as optimal electric bus parameter.
In embodiments of the present invention, by obtaining multigroup electric bus parameter, electric bus parameter includes electronic public affairs Hand over the initialization battery capacity of car and the initialization charge power of charger；According to electric bus at each management and running moment Battery dump energy build battery dump energy matrix, and according to charger each management and running moment charged state Build charger charged state matrix；Battery dump energy rank of matrix is calculated, to obtain every group of electric bus parameter most Small vehicle configures quantity, and calculates charger charged state rank of matrix, to obtain every group of minimum of electric bus parameter Charger configures quantity；According to the consumption models of prebuild, by the minimum vehicle configuration quantity of every group of electric bus parameter and The minimum charger configuration quantity input consumption models of every group of electric bus parameter, when selection consumption models are output as minimum pair The electric bus parameter answered, used as optimal electric bus parameter, the present invention can solve the problem that existing fuel bus are changed to electricity After electric bus, the optimal location problem of electric bus vehicle parameter and charger parameter, and optimal fortune can be given Battalion's scheduling and charging scheduling scheme, and then solve and do not account for Electric Transit for electric bus operation in the prior art The quantity of car battery capacity size and charger and cause the configuration of the electrokinetic cell and charger quantity that can not obtain optimal Technical problem.
In a kind of optional embodiment, consumption models are：Pbs=bn×p1+cn×pc×p2+bn×bb×p3；Wherein, PbsRepresent consumption output, pcRepresent the initialization charge power of charger, bbThe initialization battery capacity of electric bus is represented, bnThe initialization battery capacity for representing electric bus is bbWhen minimum vehicle configuration quantity, cnRepresent the initialization of charger Charge power is pcWhen minimum charger configuration quantity, p1Represent electric bus price, p2Represent charger price, p3Table Show battery price.
In a kind of optional embodiment, the battery of battery dump energy matrix including electric bus is from initial electrochemical cell Capacity consumption to battery dump energy is less than the electric quantity change process of default least residue electricity, and small from battery dump energy The electric quantity change process of default maximum residual electricity is charged in default least residue electricity.
In a kind of optional embodiment, the battery of electric bus is consumed to remaining battery electricity from initialization battery capacity Amount is shown below less than the electric quantity change process of default least residue electricity：
Wherein, BbnRepresent that the battery of electric bus is consumed to battery dump energy less than default from initialization battery capacity The electric quantity change matrix of least residue electricity, L represents the route mileage of electric bus, and S represents electric bus traveling 100 The power consumption of kilometer, i represents the i+1 management and running moment, and n represents the route maximum cycle that electric motor car can be travelled, And meetAndWherein, bbnRepresent that electric motor car drives to Battery dump energy when n-th route is circulated, bbn+1Represent that electric motor car drives to remaining battery when (n+1)th route is circulated Electricity, bbminRepresent default least residue electricity.
In a kind of optional embodiment, it is less than default least residue electricity from battery dump energy and charges to default maximum The electric quantity change process of dump energy is shown below：
Wherein, BbcThe battery of expression electric bus charges to pre- from battery dump energy less than default least residue electricity If the electric quantity change matrix of maximum residual electricity, △ Tn+jRepresent since Tn to the time interval of Tn+j, Tn represents electronic garage N-th moment of route circulation is sailed to, j represents j-th management and running moment since Tn, j=1,2 ..., m；M represent from M-th management and running moment that Tn starts, and at m-th management and running moment, the battery electric quantity of power electric motor car reaches default Maximum residual electricity.
In a kind of optional embodiment, the present invention is by changing electric bus vehicle mounted dynamic battery capacity and charger Power, sets up the state matrix of electric bus dump energy state matrix and charger, and solve by seeking the method for order Electric automobile configuration quantity and optimal charger configuration quantity optimal when a certain electrokinetic cell capacity and charging acc power；So Afterwards by optimal method, minimum target is invested with Electric Transit station, obtain optimal electric bus electrokinetic cell and hold Amount and charger power configuration parameter.
Specifically, can first obtain and define some supplemental characteristics, including electric bus route mileage L, electronic Bus travels 100 kilometers of power consumption electric bus route mileage S, bus scheduling peak and low ebb time period, peak With departure interval low ebb phase, the price p1 of electric bus, the unit price p2 of charger, the electrokinetic cell of electric bus Unit price p3, maximum charge acc power Pc_max and minimum charge power Pc_min, vehicle mounted dynamic battery maximum capacity Bb_ Max and minimum capacity Bb_min, and initialize the charge power p of chargercWith the electrokinetic cell capacity b of electric busb, Wherein there is the charge power p of multigroup initialization chargercWith the electrokinetic cell capacity b of electric busb, and each group of need Meet the constraint of following formula (1)：
Then according to the departing time interval of electric bus, electric bus management and running moment vector can be formulated Shown in Tt, such as following formula (2)：
Tt=[T1T2…Ti…Th-1 Th] (2)
In formula (2), T1, T2, Ti represent the frequency of electric bus respectively, can there is h frequency, and h is by sending out Car time and departure interval determine.
According to management and running moment vector T t, circuit mileage L, electric bus power consumption characteristic, simulate electric bus The remaining mileage of traveling process and charging process, obtains the electric bus under each group of initialization charge power and battery capacity Dump energy matrix Rm and charger charged state Matrix C s.
Wherein, the calculation procedure of electric bus dump energy matrix Rm is：
Step S202, according to the power consumption characteristic of electric bus scheduling instance vector, route mileage and electric automobile, calculates The electricity attenuation process of electric bus, demand is travelled until dump energy can not meet next time.According to scheduling instance vector, Shown in the change procedure of dump energy such as formula (3).
In formula (3), BbnRepresent that the battery of electric bus is consumed to battery dump energy and is less than from initialization battery capacity The electric quantity change matrix of default least residue electricity, L represents the route mileage of electric bus, and S represents that electric bus are travelled 100 kilometers of power consumption, i represents the i+1 management and running moment, and n represents the route largest loop time that electric motor car can be travelled Number, and meetAndWherein, bbnRepresent electronic garage Sail to battery dump energy when n-th route is circulated, bbn+1Represent that electric motor car drives to battery when (n+1)th route is circulated Dump energy, bbminRepresent default least residue electricity.
Step S204, according to scheduling instance vector, charge power and bbnDuring calculating power battery charging, at each moment Residual electric quantity, such as shown in expression formula (4)：
In formula (4), BbcRepresent that the battery of electric bus is less than default least residue electricity and charges from battery dump energy To the electric quantity change matrix of default maximum residual electricity, △ Tn+jRepresent since Tn to the time interval of Tn+j, Tn represents electronic Garage sails to n-th moment of route circulation, and j represents j-th management and running moment since Tn, j=1,2 ..., m；M tables Show m-th management and running moment since Tn, and at m-th management and running moment, the battery electric quantity of power electric motor car reaches Default maximum residual electricity, bbmaxRepresent the default maximum residual electricity of electrokinetic cell.
Optionally, b is usedcmM-th battery dump energy at management and running moment since Tn is represented, b is usedcm-1Represent from The m-1 battery dump energy at management and running moment that Tn starts, then meetAnd
Step S206, according to above-mentioned electric quantity change matrix with the original battery that can build electric bus is remaining electric Moment matrix Rm0, such as shown in expression formula (5).
R can be deletedm0In unnecessary row form battery dump energy matrix Rm, the deletion principle that can be used for：Arrangement The all elements in the row under being arranged in are contained in upper row, and the nonzero element of respective column is identical, then delete In row under being arranged in, such as formula (5), all elements of the 7th row are contained in the first row, then delete the 7th row.
Build charger charged state Matrix C s when, above formula (5) can be negated, will above-mentioned electric bus original Beginning battery dump energy matrix Rm0Data be multiplied by -1, that is, the data of discharge process are all made into just, by charging process Data are all changed to bear, and according to the forming method of Rm, delete correspondence row, that is, form charger state matrix Cs.
According at the beginning of electric bus dump energy matrix Rm and charger charged state Matrix C s are calculated each group Minimum vehicle configuration quantity bn and minimum charger configuration quantity cn under beginningization charge power and electrokinetic cell capacity, its calculating Shown in method such as following formula (6)：
In formula, rank () is represented and is sought rank of matrix.
Optionally, calculate the minimum vehicle configuration quantity bn of each group of initialization charge power and electrokinetic cell capacity and During minimum charger configuration quantity cn, can be using various methods such as particle cluster algorithm, simulated annealing, Method of generalized inverse calculation.
The consumption P in public transit system can be calculated afterwardsbs, can be calculated by the consumption models of prebuild, disappear Shown in consumption model such as following formula (7)：
Pbs=bn·p1+cn·pc·p2+bn·bb·p3 (7)
According to above formula (7), the consumption of each group of initialization charge power and battery capacity can be calculated, then selection disappears Minimum initialization charge power and battery capacity is consumed, as most preferably charge power and optimal battery capacity, consumption minimum Initialization charge power and the corresponding minimum vehicle configuration quantity of battery capacity and minimum charger configuration quantity i.e. optimal Vehicle configures quantity and optimal charger configuration quantity.
Optionally, the quantity of electric bus quantity, the capacity of battery, the power of charger and charger can in the present invention To be variable, it is also possible to which part is set into determination value.
Optionally, the present invention suitable for a plurality of one charging station of electric public transport system line sharing when vehicle parameter and fill The configuration of the parameter of electric machine.
Embodiment 2
According to embodiments of the present invention, there is provided a kind of product embodiments of electric bus parameter configuration device, Fig. 2 is root According to the electric bus parameter configuration device of the embodiment of the present invention, as shown in Fig. 2 the device include acquisition module, build module, Computing module and selecting module.
Wherein, acquisition module, for obtaining multigroup electric bus parameter, electric bus parameter includes electric bus Initialization battery capacity and charger initialization charge power；Module is built, for being adjusted at each according to electric bus The battery dump energy for spending the time of running builds battery dump energy matrix, and according to charger at each management and running moment Charged state build charger charged state matrix；Computing module, for calculating battery dump energy rank of matrix, to obtain Every group of minimum vehicle configuration quantity of electric bus parameter, and charger charged state rank of matrix is calculated, it is every to obtain The minimum charger configuration quantity of group electric bus parameter；Selecting module, for the consumption models according to prebuild, by every group The minimum vehicle configuration quantity of electric bus parameter and every group of minimum charger configuration quantity input of electric bus parameter Consumption models, selection consumption models are output as corresponding electric bus parameter during minimum, used as optimal electric bus parameter.
In embodiments of the present invention, by obtaining multigroup electric bus parameter, electric bus parameter includes electronic public affairs Hand over the initialization battery capacity of car and the initialization charge power of charger；According to electric bus at each management and running moment Battery dump energy build battery dump energy matrix, and according to charger each management and running moment charged state Build charger charged state matrix；Battery dump energy rank of matrix is calculated, to obtain every group of electric bus parameter most Small vehicle configures quantity, and calculates charger charged state rank of matrix, to obtain every group of minimum of electric bus parameter Charger configures quantity；According to the consumption models of prebuild, by the minimum vehicle configuration quantity of every group of electric bus parameter and The minimum charger configuration quantity input consumption models of every group of electric bus parameter, when selection consumption models are output as minimum pair The electric bus parameter answered, used as optimal electric bus parameter, the present invention can solve the problem that existing fuel bus are changed to electricity After electric bus, the optimal location problem of electric bus vehicle parameter and charger parameter, and optimal fortune can be given Battalion's scheduling and charging scheduling scheme, and then solve and do not account for Electric Transit for electric bus operation in the prior art The quantity of car battery capacity size and charger and cause the configuration of the electrokinetic cell and charger quantity that can not obtain optimal Technical problem.
In a kind of optional embodiment, consumption models are：Pbs=bn×p1+cn×pc×p2+bn×bb×p3；Wherein, PbsRepresent consumption output, pcRepresent the initialization charge power of charger, bbThe initialization battery capacity of electric bus is represented, bnThe initialization battery capacity for representing electric bus is bbWhen minimum vehicle configuration quantity, cnRepresent the initialization of charger Charge power is pcWhen minimum charger configuration quantity, p1Represent electric bus price, p2Represent charger price, p3Table Show battery price.
In a kind of optional embodiment, the battery of battery dump energy matrix including electric bus is from initial electrochemical cell Capacity consumption to battery dump energy is less than the electric quantity change process of default least residue electricity, and small from battery dump energy The electric quantity change process of default maximum residual electricity is charged in default least residue electricity.
In a kind of optional embodiment, the battery of electric bus is consumed to remaining battery electricity from initialization battery capacity Amount is shown below less than the electric quantity change process of default least residue electricity：
Wherein, BbnRepresent that the battery of electric bus is consumed to battery dump energy less than default from initialization battery capacity The electric quantity change matrix of least residue electricity, L represents the route mileage of electric bus, and S represents electric bus traveling 100 The power consumption of kilometer, i represents the i+1 management and running moment, and n represents the route maximum cycle that electric motor car can be travelled, And meetAndWherein, bbnRepresent that electric motor car drives to Battery dump energy when n-th route is circulated, bbn+1Represent that electric motor car drives to remaining battery when (n+1)th route is circulated Electricity, bbminRepresent default least residue electricity.
In a kind of optional embodiment, it is less than default least residue electricity from battery dump energy and charges to default maximum The electric quantity change process of dump energy is shown below：
Wherein, BbcThe battery of expression electric bus charges to pre- from battery dump energy less than default least residue electricity If the electric quantity change matrix of maximum residual electricity, △ Tn+jRepresent since Tn to the time interval of Tn+j, Tn represents electronic garage N-th moment of route circulation is sailed to, j represents j-th management and running moment since Tn, j=1,2 ..., m；M represent from M-th management and running moment that Tn starts, and at m-th management and running moment, the battery electric quantity of power electric motor car reaches default Maximum residual electricity.
The embodiments of the present invention are for illustration only, and the quality of embodiment is not represented.
In the above embodiment of the present invention, the description to each embodiment all emphasizes particularly on different fields, and does not have in certain embodiment The part of detailed description, may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed technology contents, can be by other Mode is realized.Wherein, device embodiment described above is only schematical, such as division of described unit, Ke Yiwei A kind of division of logic function, can there is other dividing mode when actually realizing, such as multiple units or component can combine or Person is desirably integrated into another system, or some features can be ignored, or does not perform.Another, shown or discussed is mutual Between coupling or direct-coupling or communication connection can be the INDIRECT COUPLING or communication link of unit or module by some interfaces Connect, can be electrical or other forms.
The unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple On unit.Some or all of unit therein can be according to the actual needs selected to realize the purpose of this embodiment scheme.
In addition, during each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list Unit can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is to realize in the form of SFU software functional unit and as independent production marketing or use When, can store in a computer read/write memory medium.Based on such understanding, technical scheme is substantially The part for being contributed to prior art in other words or all or part of the technical scheme can be in the form of software products Embody, the computer software product is stored in a storage medium, including some instructions are used to so that a computer Equipment (can be personal computer, server or network equipment etc.) perform each embodiment methods described of the invention whole or Part steps.And foregoing storage medium includes：USB flash disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can be with store program codes Medium.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should It is considered as protection scope of the present invention.

Claims (10)

1. a kind of electric bus method for parameter configuration, it is characterised in that including：
Obtain multigroup electric bus parameter, the electric bus parameter include the initialization battery capacity of electric bus and The initialization charge power of charger；
Battery dump energy according to the electric bus at each management and running moment builds battery dump energy matrix, with And the charged state according to the charger at each management and running moment builds charger charged state matrix；
The battery dump energy rank of matrix is calculated, number is configured with the minimum vehicle for obtaining electric bus parameter described in every group Amount, and the charger charged state rank of matrix is calculated, charged with obtaining the minimum of electric bus parameter described in every group Machine configures quantity；
According to the consumption models of prebuild, by described in the minimum vehicle configuration quantity of electric bus parameter described in every group and every group The minimum charger configuration quantity of electric bus parameter is input into the consumption models, selects the consumption models to be output as minimum When the corresponding electric bus parameter, as optimal electric bus parameter.
2. method according to claim 1, it is characterised in that the consumption models are：
Pbs=bn×p1+cn×pc×p2+bn×bb×p3；
Wherein, PbsRepresent consumption output, pcRepresent the initialization charge power of the charger, bbRepresent the electric bus Initialization battery capacity, bnThe initialization battery capacity for representing the electric bus is bbWhen minimum vehicle configuration quantity, cnThe initialization charge power for representing the charger is pcWhen minimum charger configuration quantity, p1Represent Electric Transit car fare Lattice, p2Represent charger price, p3Represent battery price.
3. method according to claim 2, it is characterised in that the battery dump energy matrix includes the Electric Transit The battery of car is consumed to the electric quantity change that battery dump energy is less than default least residue electricity from the initialization battery capacity Process, and it is less than the electricity change that default least residue electricity charges to default maximum residual electricity from the battery dump energy Change process.
4. method according to claim 3, it is characterised in that the battery of the electric bus is from the initial electrochemical cell Capacity consumption to battery dump energy is less than the electric quantity change process of default least residue electricity, is shown below：
B b n = b b b b - L · S 100 b b - 2 L · S 100 ... b b - i · L · S 100 ... b b - n · L · S 100 ;
Wherein, BbnRepresent that the battery of the electric bus is consumed to battery dump energy and is less than from the initialization battery capacity The electric quantity change matrix of default least residue electricity, L represents the route mileage of the electric bus, and S represents the electronic public affairs The power consumption for handing over car to travel 100 kilometers, i represents the i+1 management and running moment, and n represents the road that the electric motor car can be travelled Line maximum cycle, and meetAndWherein, bbn Represent that the electric motor car drives to battery dump energy when n-th route is circulated, bbn+1Represent that the electric motor car drives to n-th Battery dump energy when+1 route is circulated, bbminRepresent default least residue electricity.
5. method according to claim 4, it is characterised in that be less than default least residue electricity from the battery dump energy The electric quantity change process that amount charges to default maximum residual electricity is shown below：
B b c = b b n + ΔT n + 1 · p c b b n + ( ΔT n + 1 + ΔT n + 2 ) · p c ... b b n + Σ j = 1 j ΔT n + j · p c ... b b n + Σ i = 1 m ΔT n + m · p c ;
Wherein, BbcRepresent that the battery of the electric bus is less than default least residue electricity and charges from the battery dump energy To the electric quantity change matrix of the default maximum residual electricity, △ Tn+jRepresent since Tn to the time interval of Tn+j, Tn is represented The electric motor car drives to the moment of n-th route circulation, and j represents j-th management and running moment since Tn, j=1, 2 ..., m；M represents m-th management and running moment since Tn, and at m-th management and running moment, the power electric motor car Battery electric quantity reach the default maximum residual electricity.
6. a kind of electric bus parameter configuration device, it is characterised in that including：
Acquisition module, for obtaining multigroup electric bus parameter, the electric bus parameter includes the first of electric bus The initialization charge power of beginning electrochemical cell capacity and charger；
Module is built, building battery for the battery dump energy according to the electric bus at each management and running moment remains Remaining electricity matrix, and according to the charger each management and running moment charged state build charger charged state square Battle array；
Computing module, for calculating the battery dump energy rank of matrix, to obtain electric bus parameter described in every group Minimum vehicle configures quantity, and calculates the charger charged state rank of matrix, to obtain electric bus described in every group The minimum charger configuration quantity of parameter；
Selecting module, for the consumption models according to prebuild, the minimum vehicle of electric bus parameter described in every group is configured The minimum charger configuration quantity of quantity and electric bus parameter described in every group is input into the consumption models, selects the consumption Model is output as corresponding electric bus parameter during minimum, used as optimal electric bus parameter.
7. device according to claim 6, it is characterised in that the consumption models are：
Pbs=bn×p1+cn×pc×p2+bn×bb×p3；
Wherein, PbsRepresent consumption output, pcRepresent the initialization charge power of the charger, bbRepresent the electric bus Initialization battery capacity, bnThe initialization battery capacity for representing the electric bus is bbWhen minimum vehicle configuration quantity, cnThe initialization charge power for representing the charger is pcWhen minimum charger configuration quantity, p1Represent Electric Transit car fare Lattice, p2Represent charger price, p3Represent battery price.
8. device according to claim 7, it is characterised in that the battery dump energy matrix includes the Electric Transit The battery of car is consumed to the electric quantity change that battery dump energy is less than default least residue electricity from the initialization battery capacity Process, and it is less than the electricity change that default least residue electricity charges to default maximum residual electricity from the battery dump energy Change process.
9. device according to claim 8, it is characterised in that the battery of the electric bus is from the initial electrochemical cell Capacity consumption to battery dump energy is less than the electric quantity change process of default least residue electricity, is shown below：
B b n = b b b b - L · S 100 b b - 2 L · S 100 ... b b - i · L · S 100 ... b b - n · L · S 100 ;
Wherein, BbnRepresent that the battery of the electric bus is consumed to battery dump energy and is less than from the initialization battery capacity The electric quantity change matrix of default least residue electricity, L represents the route mileage of the electric bus, and S represents the electronic public affairs The power consumption for handing over car to travel 100 kilometers, i represents the i+1 management and running moment, and n represents the road that the electric motor car can be travelled Line maximum cycle, and meetAndWherein, bbn Represent that the electric motor car drives to battery dump energy when n-th route is circulated, bbn+1Represent that the electric motor car drives to n-th Battery dump energy when+1 route is circulated, bbminRepresent default least residue electricity.
10. device according to claim 9, it is characterised in that be less than default least residue from the battery dump energy The electric quantity change process that electricity charges to default maximum residual electricity is shown below：
B b c = b b n + ΔT n + 1 · p c b b n + ( ΔT n + 1 + ΔT n + 2 ) · p c ... b b n + Σ j = 1 j ΔT n + j · p c ... b b n + Σ i = 1 m ΔT n + m · p c ;
Wherein, BbcRepresent that the battery of the electric bus is less than default least residue electricity and charges from the battery dump energy To the electric quantity change matrix of the default maximum residual electricity, △ Tn+jRepresent since Tn to the time interval of Tn+j, Tn is represented The electric motor car drives to the moment of n-th route circulation, and j represents j-th management and running moment since Tn, j=1, 2 ..., m；M represents m-th management and running moment since Tn, and at m-th management and running moment, the power electric motor car Battery electric quantity reach the default maximum residual electricity.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102130478A (en) * 2011-01-21 2011-07-20 清华大学 Coordination charging control method for electric vehicle charging station
CN102722767A (en) * 2012-07-02 2012-10-10 山东鲁能智能技术有限公司 Electromobile charging and exchanging power station stationing and planning system and method
KR20130089909A (en) * 2012-01-11 2013-08-13 한국항공대학교산학협력단 Optimization method for location of battery changing machine station of electric buses
CN104269849A (en) * 2014-10-17 2015-01-07 国家电网公司 Energy managing method and system based on building photovoltaic micro-grid
CN105160428A (en) * 2015-08-19 2015-12-16 天津大学 Planning method of electric vehicle fast-charging station on expressway
CN105160449A (en) * 2015-07-06 2015-12-16 国家电网公司 Electric automobile charging pile optimization layout method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102130478A (en) * 2011-01-21 2011-07-20 清华大学 Coordination charging control method for electric vehicle charging station
KR20130089909A (en) * 2012-01-11 2013-08-13 한국항공대학교산학협력단 Optimization method for location of battery changing machine station of electric buses
CN102722767A (en) * 2012-07-02 2012-10-10 山东鲁能智能技术有限公司 Electromobile charging and exchanging power station stationing and planning system and method
CN104269849A (en) * 2014-10-17 2015-01-07 国家电网公司 Energy managing method and system based on building photovoltaic micro-grid
CN105160449A (en) * 2015-07-06 2015-12-16 国家电网公司 Electric automobile charging pile optimization layout method
CN105160428A (en) * 2015-08-19 2015-12-16 天津大学 Planning method of electric vehicle fast-charging station on expressway

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