CN106295942A - City electric car public charging network service ability evaluation methodology and the system of evaluation - Google Patents

Abstract

The present invention relates to a kind of city electric car public charging network service ability evaluation methodology and evaluation system, described method includes, according to public electrically-charging equipment achievement data, calculating electrically-charging equipment allocative abilities；According to electric automobile user's behavioral data and public electrically-charging equipment achievement data charged per hour train number account for whole day charge total train number ratio；The ratio accounting for the whole day total train number of charging according to electric automobile achievement data and the train number that charges per hour obtains electric automobile charge requirement per hour；The average covering radius of public electrically-charging equipment in city is obtained according to city achievement data and public electrically-charging equipment achievement data；Public electrically-charging equipment average covering radius data according to city obtain served distance evaluation index；The service ability of the public charging network of city electric car is calculated according to citizens' activities rule and equilibrium of supply and demand rule.Technical solution of the present invention, to the construction plan of electric automobile charging and conversion electric service network, the configuring of fast and slow charge facility, has preferable reference effect.

Description

City electric car public charging network service ability evaluation methodology and the system of evaluation

Technical field:

The present invention relates to electric automobile field, be more particularly to a kind of public charging network of city electric car Service ability evaluation methodology and the system of evaluation.

Background technology:

Along with electric automobile and charging and conversion electric technology thereof, equipment, the fast development of operation management system and relevant Policy, law, standard, progressively the optimizing of standard system, China's electric automobile charging and conversion electric basis sets The scale construction process executed will constantly be accelerated, and the construction of electric automobile charging and conversion electric service network also must be with The development of electric automobile synchronizes to go forward side by side, and otherwise can not meet whole charging electric vehicle Demand and service.Fill The development changing electricity infrastructure will present significantly based on the development that commercialized services capability improving is guiding Trend.

In city electric car public charging network service ability evaluation is used for calculating city, electric automobile is public The altogether capacity levels of charging service, is that public charging infrastructure construction planning, technological transformation, flow process are excellent The aid that change, operation ability promote, public charging and conversion electric network service capabilities in the assessment city of science, For instructing the economic construction at charging and conversion electric station, rational deployment, and improve the service level tool at charging and conversion electric station There is great importance.Traditional service ability is evaluated mostly from technical, economy, social and real Angularly carry out by property, still lack for charging electric vehicle network service capabilities evaluation and preferably evaluate mould Type and technical support.

Summary of the invention:

It is an object of the invention to provide a kind of city electric car public charging network service ability evaluation side Method and the system of evaluation, construction plan, the configuration of fast and slow charge facility to electric automobile charging and conversion electric service network Planning, has preferable reference effect.

For achieving the above object, the present invention is by the following technical solutions: a kind of city electric car is public fills Electric network service ability evaluation methodology, including:

According to public electrically-charging equipment achievement data, calculate electrically-charging equipment allocative abilities；

According to electric automobile user's behavioral data and described public electrically-charging equipment achievement data, obtain per hour Charging train number accounts for the ratio of the whole day total train number of charging；

The ratio of the whole day total train number of charging is accounted for according to described electric automobile achievement data and the train number that charges per hour Example, obtains electric automobile charge requirement per hour；

According to city achievement data and described public electrically-charging equipment achievement data, obtain the public charging in city The average covering radius of facility；

Public electrically-charging equipment average covering radius data according to city, obtain served distance evaluation index；

According to citizens' activities rule and equilibrium of supply and demand rule, calculate the public charging network of city electric car Service ability.

Described method also includes obtaining achievement data；Described achievement data include electric automobile achievement data, Public electrically-charging equipment achievement data, city achievement data and electric automobile user's behavioral data.

Described electric automobile achievement data include electric automobile quantity, course continuation mileage, average course continuation mileage, Average residual mileage and average daily charging times；

Described public electrically-charging equipment achievement data includes electrically-charging equipment quantity, average charge duration and charging pile Serviceability rate；

Described city achievement data includes urban size and charge point quantity；

Described electric automobile user's behavioral data be electric automobile user start to charge up time be engraved in one day it Interior probability distribution.

The determination process of described electrically-charging equipment allocative abilities is:

Different charging pile quantity is obtained respectively according to different charging modes；

Electric automobile average charge duration C is calculated according to following formula_t:

$C_t=\frac{1}{{\mathrm{\Σn}}_i}{\Σ}_{i=1}^n\frac{T_i}{L_i}(L_i-V_d)n_i;$

Wherein, n is the quantity of electric automobile brand, T_iElectricity for i brand electric automobile is full of duration； L_iCourse continuation mileage for i brand electric automobile；n_iFor i brand electric automobile quantity, V_dFor in average residual Journey；

The average charge duration C of trickle charge pattern is calculated respectively according to above formula_AtWith averagely filling under fast mold filling formula Electricity duration C_Dt；

Electrically-charging equipment allocative abilities, i.e. charging pile facility maximum charge number of times C per hour is calculated by following formula,

$C=\mathrm{\α}\×(\frac{C_{An}}{C_{At}}+\frac{C_{Dn}}{C_{Dt}})$

Wherein, C_AnRepresent trickle charge charging pile quantity, C_DnRepresenting and fill charging pile quantity soon, α represents charging pile Serviceability rate.

The determination process of the ratio that the described train number of charging per hour accounts for whole day charging train number includes:

Be data according to electric automobile user's charging row, show that electric automobile user starts to charge up time be engraved in Probability distribution β (t) within one day, according to a hour demarcation interval t=1,2 ... 24；Then

According to electrically-charging equipment frequency of usage data, fast in drawing one day, the ratio of trickle charge facility access times is ρ；

The ratio using the train number filling facility charging soon to account for whole day charging train number per hour is calculated according to following formula

The ratio using the train number of trickle charge facility charging to account for whole day charging train number per hour is calculated according to following formula

According to following formula calculate per hour charging train number account for whole day charging train number ratio:

The determination process of described electrical automobile charge requirement per hour includes:

Obtain city and can use the electric automobile quantity of public electrically-charging equipment；

Brand according to described electric automobile and parameter, calculate the average course continuation mileage of electric automobile；

It is data according to electric automobile user's charging row, draws average residual mileage before charging electric vehicle；

It is data according to electric automobile user's charging row, obtains the per day distance travelled of automobile in city；

Electric automobile average daily charging times V is calculated by following formula_t:

$V_t=\frac{V_k}{V_m-V_d}$

Wherein, V_kFor average daily distance travelled, V_mFor average course continuation mileage, V_dFor average residual mileage；

By following formula calculating electric automobile per period charging times demand V:

Wherein,Represent that the train number that charges per hour accounts for the ratio of whole day charging train number；V_nRepresent electronic vapour Car quantity；V_tRepresent the average daily charging times of electric automobile.

The average covering radius of public electrically-charging equipment in described city is determined by following formula:

$r=\sqrt{\frac{2S}{m\×3\sqrt{3}}}$

Wherein, r is the average covering radius of public electrically-charging equipment, and S is urban size, and m is that charging is counted Amount.

The determination process of described served distance evaluation index includes:

It is data according to electric automobile user's charging row, draws remaining mileage standard deviation sigma；

Due to remaining mileage followed normal distribution distribution before charging electric vehicle, average residual mileage is V_d, then remain Remaining mileage normal distribution $d\left(r\right)=\frac{1}{\mathrm{\σ}\sqrt{2\mathrm{\π}}}\exp (-\frac{{(r-\mathrm{\μ})}^2}{2{\mathrm{\σ}}^2}),$ r≥0；

Described served distance evaluation index determines according to following formula:

$f\left(r\right)={\∫}_r^{\mathrm{\∞}}d\left(r\right)$

Wherein, f (r) is served distance evaluation index.

The determination process of the service ability of the public charging network of described city electric car includes:

Determine city electric car public charging network service ability E (t) in certain period；

Average service ability E is determined according to described service ability E (t)；

Described service ability E (t) is determined by following formula:

$E\left(t\right)=f\left(r\right)\×\frac{C}{V\left(t\right)}$

Described average service ability E is

A kind of city electric car public charging network service ability evaluates system, including:

Electrically-charging equipment allocation models, according to public electrically-charging equipment achievement data, calculates electrically-charging equipment configuration energy Power；

User charges behavior model, refers to according to electric automobile user's behavioral data and described public electrically-charging equipment Mark data, the train number that charged per hour accounts for the ratio of the whole day total train number of charging；

Charging electric vehicle demand model, according to described electric automobile achievement data and the train number that charges per hour Account for the ratio of the whole day total train number of charging, obtain electric automobile charge requirement per hour；

Charging service distance model, according to city achievement data and described public electrically-charging equipment achievement data, Obtain the average covering radius of public electrically-charging equipment in city；

Served distance evaluation model, according to the public electrically-charging equipment average covering radius data in city, obtains Served distance evaluation index；

Charging network service ability computation model, according to citizens' activities rule and equilibrium of supply and demand rule, calculates The service ability of the public charging network of city electric car.

Described system also includes the achievement data module obtaining achievement data；Described achievement data module includes Electric automobile achievement data module, public electrically-charging equipment achievement data module, city achievement data module and Electric automobile user's behavioral data module.

With immediate prior art ratio, the present invention provides technical scheme to have following excellent effect

1, technical scheme calculates the public electrically-charging equipment of electric automobile to city electric car user The satisfaction degree of charging service is provided；

2, technical scheme is by electric automobile user's driving behavior, charging behavior and charging Network layout feature is analyzed, based on existing charging and conversion electric service network real current situation and electric automobile future Under growth requirement, make full use of service equilibrium of supply and demand principle, it is achieved that combine charging electric vehicle demand, The charging electric vehicle network operation of the many factors such as electrically-charging equipment allocative abilities, charging network service radius Service ability appraisal procedure；

3, technical scheme can be widely used for electric automobile charging and conversion electric service network construction plan, The side such as the transformation of the configuring of fast and slow charge facility, facility technology, process optimization, operating service capability improving Face；

4, technical scheme is for instructing the economic construction at charging and conversion electric station, rational deployment, and The service level improving charging and conversion electric station has great importance.

Accompanying drawing explanation

Fig. 1 is the evaluation model figure of technical solution of the present invention；

Fig. 2 be technical solution of the present invention evaluation index figure.

Detailed description of the invention

Below in conjunction with embodiment, the invention will be described in further detail.

Embodiment 1:

The invention of this example provide a kind of city electric car public charging network service ability evaluation methodology and Evaluation system, show that the public electrically-charging equipment of city electric car provides meeting of service to electric automobile user Degree, represents with a dimensionless number.Described method includes:

According to public electrically-charging equipment achievement data, calculate electrically-charging equipment allocative abilities；

According to electric automobile user's behavioral data and described public electrically-charging equipment achievement data, obtain per hour Charging train number accounts for the ratio of the whole day total train number of charging；

The ratio of the whole day total train number of charging is accounted for according to described electric automobile achievement data and the train number that charges per hour Example, obtains electric automobile charge requirement per hour；

According to city achievement data and described public electrically-charging equipment achievement data, obtain the public charging in city The average covering radius of facility；

Public electrically-charging equipment average covering radius data according to city, obtain served distance evaluation index；

According to citizens' activities rule and equilibrium of supply and demand rule, calculate the public charging network of city electric car Service ability.

Described method also includes obtaining achievement data；Described achievement data includes as in figure 2 it is shown, electronic vapour Car achievement data, public electrically-charging equipment achievement data, city achievement data and electric automobile user's behavior number According to.

1) electric automobile achievement data includes:

(1) electric automobile quantity: the electric automobile recoverable amount can charged at public electrically-charging equipment in certain city；

(2) course continuation mileage: the max mileage number that electric automobile can be exercised after fully charged；

(3) average course continuation mileage: the average course continuation mileage of certain city main flow electric automobile brand；

(4) average residual mileage: the average mileage that the dump energy before charging electric vehicle can support Number；

(5) average daily charging times: the average charge number of times of each electric automobile every day；

2) public electrically-charging equipment achievement data includes:

(1) electrically-charging equipment quantity: the charging pile Quantity in certain city, including discrete charging pile, collection Middle charging station or the charging charger of tower and charging pile, by charging modes can be divided into trickle charge alternating-current charging pile and Fill DC charging motor soon.

(2) average charge duration: electric automobile charges required duration the most every time, according to charging Mode is different, is divided into again trickle charge average charge duration and fills average charge duration soon；

(3) charging pile serviceability rate: the charging pile quantity that can normally carry out charging work accounts for all chargings The ratio of stake quantity；

3) city achievement data includes:

(1) urban size: the land area in a certain urban construction public electrically-charging equipment region；

(2) charge point quantity a: charging station or the sum of a collection of closely located charging pile centrostigma.

4) electric automobile user behavioral data, refer to that electric automobile user starts to charge up time be engraved in one day it Interior probability distribution.

The determination process of described electrically-charging equipment allocative abilities is:

(1) different according to charging modes, charging pile is divided into exchange trickle charge charging pile and direct current fill soon Electricity stake, and obtain charging pile quantity respectively；

(2) electric automobile average charge duration C is calculated_t,

$C_t=\frac{1}{{\mathrm{\Σn}}_i}{\Σ}_{i=1}^n\frac{T_i}{L_i}\left(L_i-V_d\right)n_i;$

Wherein, n is the quantity of electric automobile brand, T_iElectricity for i brand electric automobile is full of duration； L_iCourse continuation mileage for i brand electric automobile；n_iFor i brand electric automobile quantity, V_dFor in average residual Journey；

(3) the average charge duration C of trickle charge pattern is calculated respectively_AtWith averagely filling under fast mold filling formula Electricity duration C_Dt；

(4) electrically-charging equipment allocative abilities, i.e. charging pile facility maximum charge number of times C per hour is calculated,Wherein, C_AnRepresent trickle charge charging pile quantity, C_DnRepresent and fill charging pile quantity soon, α represents charging pile serviceability rate.

The determination process of the ratio that the described train number of charging per hour accounts for whole day charging train number includes:

(1) it is investigational data according to electric automobile user's charging row, show that electric automobile user starts to fill Electricity time be engraved in one day within probability distribution β (t), according to a hour demarcation interval t=1,2 ... 24；Then ${\Σ}_{t=1}^{24}\mathrm{\β}\left(t\right)=1.$

(2) according to electrically-charging equipment frequency of usage investigational data, fast in drawing one day, trickle charge facility uses The ratio of number of times is ρ.

(3) ratio using the train number filling facility charging soon to account for whole day charging train number per hour is calculated

(4) ratio using the train number of trickle charge facility charging to account for whole day charging train number per hour is calculated

(5) calculate charging train number per hour and account for the ratio of whole day charging train number

The determination process of described electrical automobile charge requirement per hour includes:

(1) obtain city and can use the electric automobile quantity of public electrically-charging equipment, including private car, enterprise Industry car, taxi and urban logistics distribution vehicle etc.；

(2) according to electric automobile brand and parameter, the average course continuation mileage of electric automobile is calculated；

(3) it is investigational data according to electric automobile user's charging row, average before drawing charging electric vehicle Remaining mileage；

(4) it is investigational data according to electric automobile user's charging row, obtains the per day row of automobile in city Sail mileage；

(5) electric automobile average daily charging times V is calculated_t,Wherein, V_kTravel for average daily Mileage, V_mFor average course continuation mileage, V_dFor average residual mileage；

(6) electric automobile per period charging times demand V is calculated,Its In,Represent that the train number that charges per hour accounts for the ratio of whole day charging train number；V_nRepresent electric automobile quantity； V_tRepresent the average daily charging times of electric automobile.

Use central place theory, obtain public electrically-charging equipment average covering radius r,

Wherein S is urban size, and m is charge point quantity.

The determination process of described served distance evaluation index includes:

(1) it is investigational data according to electric automobile user's charging row, draws remaining mileage standard deviation sigma；

(2) remaining mileage followed normal distribution distribution before charging electric vehicle, average residual mileage is V_d, surplus Remaining mileage normal distribution $d\left(r\right)=\frac{1}{\mathrm{\σ}\sqrt{2\mathrm{\π}}}\exp (-\frac{{(r-\mathrm{\μ})}^2}{2{\mathrm{\σ}}^2}),$ r≥0；

(3) served distance evaluation index refers to need the vehicle of charging to be between two electrically-charging equipments Position time, it is possible to arrive electrically-charging equipment probit,Wherein f (r) is service Distance evaluation index.

The determination process of the service ability of the public charging network of described city electric car includes:

(1) city electric car public charging network service ability E (t) computing formula in certain period is:

$E\left(t\right)=f\left(r\right)\×\frac{C}{V\left(t\right)},$

This formula represents, charging electric vehicle service ability is in addition to charging pile quantity, also with electronic vapour Distance between car and charge point is also closely related.

(2) average service abilityDescribed system includes as shown in Figure 1:

Electrically-charging equipment allocation models, according to public electrically-charging equipment achievement data, calculates electrically-charging equipment configuration energy Power；

User charges behavior model, refers to according to electric automobile user's behavioral data and described public electrically-charging equipment Mark data, the train number that charged per hour accounts for the ratio of the whole day total train number of charging；

Charging electric vehicle demand model, according to described electric automobile achievement data and the train number that charges per hour Account for the ratio of the whole day total train number of charging, obtain electric automobile charge requirement per hour；

Charging service distance model, according to city achievement data and described public electrically-charging equipment achievement data, Obtain the average covering radius of public electrically-charging equipment in city；

Served distance evaluation model, according to the public electrically-charging equipment average covering radius data in city, obtains Served distance evaluation index；

Charging network service ability computation model, according to citizens' activities rule and equilibrium of supply and demand rule, calculates The service ability of the public charging network of city electric car.

Described system also includes the achievement data module obtaining achievement data；Described achievement data module includes Electric automobile achievement data module, public electrically-charging equipment achievement data module, city achievement data module and Electric automobile user's behavioral data module.

Capability model is put in described charging assembling, charging electric vehicle demand model, user charge behavior model, Charging service distance model, served distance evaluation model, accept the input of achievement data, the most mutually it Between there is input and the relation of output, final output data, to charging network service ability computation model, obtain Service ability numerical value to the public charging network of city electric car.

Technical scheme is respectively to the service ability filling facility and trickle charge facility soon public in city It is evaluated, as the input of charging network overall service merit rating.Based on citizens' activities rule, with The equilibrium of supply and demand is principle, and the charging service of charging service network day part public to city carries out dynamic evaluation And overall merit.Based on least favorable principle, be just in when needing charging with user two electrically-charging equipments it Between position and the probability of electrically-charging equipment can be arrived as served distance evaluation number.

Finally should be noted that: above example is only in order to illustrate technical scheme rather than to it Limit, although those of ordinary skill in the field with reference to above-described embodiment it is understood that still can be right The detailed description of the invention of the present invention is modified or equivalent, and these are without departing from present invention spirit and model Any amendment enclosed or equivalent, the claims of the present invention all awaited the reply in application it In.

Claims (11)

1. a city electric car public charging network service ability evaluation methodology, it is characterised in that: including:

According to public electrically-charging equipment achievement data, calculate electrically-charging equipment allocative abilities；

According to electric automobile user's behavioral data and described public electrically-charging equipment achievement data, filled per hour Electric car accounts for the ratio of the whole day total train number of charging；

The ratio of the whole day total train number of charging is accounted for according to described electric automobile achievement data and the train number that charges per hour, Obtain electric automobile charge requirement per hour；

According to city achievement data and described public electrically-charging equipment achievement data, the public charging obtaining city sets Execute average covering radius；

Public electrically-charging equipment average covering radius data according to city, obtain served distance evaluation index；

According to citizens' activities rule and equilibrium of supply and demand rule, calculate the clothes of the public charging network of city electric car Business ability.

2. a kind of city electric car public charging network service ability evaluation methodology as claimed in claim 1, It is characterized in that: described method also includes obtaining achievement data；Described achievement data includes electric automobile index Data, public electrically-charging equipment achievement data, city achievement data and electric automobile user's behavioral data.

3. a kind of city electric car public charging network service ability evaluation methodology as claimed in claim 2, It is characterized in that: described electric automobile achievement data includes electric automobile quantity, course continuation mileage, averagely continues a journey Mileage, average residual mileage and average daily charging times；

Described public electrically-charging equipment achievement data includes that electrically-charging equipment quantity, average charge duration and charging pile are complete Availability ratio；

Described city achievement data includes urban size and charge point quantity；

Described electric automobile user's behavioral data be electric automobile user start to charge up time be engraved in one day within Probability distribution.

4. a kind of city electric car public charging network service ability evaluation methodology as claimed in claim 1, It is characterized in that: the determination process of described electrically-charging equipment allocative abilities is:

Different charging pile quantity is obtained respectively according to different charging modes；

Electric automobile average charge duration C is calculated according to following formula_t:

$C_t=\frac{1}{{\mathrm{\Σn}}_i}{\mathrm{\Σ}}_{i=1}^n\frac{T_i}{L_i}\left(L_i-V_d\right)n_i;$

Wherein, n is the quantity of electric automobile brand, T_iElectricity for i brand electric automobile is full of duration；L_iFor i The course continuation mileage of brand electric automobile；n_iFor i brand electric automobile quantity, V_dFor average residual mileage；

The average charge duration C of trickle charge pattern is calculated respectively according to above formula_AtWith the average charge under fast mold filling formula Duration C_Dt；

Electrically-charging equipment allocative abilities, i.e. charging pile facility maximum charge number of times C per hour is calculated by following formula,

$C=\mathrm{\α}\×(\frac{C_{An}}{C_{At}}+\frac{C_{Dn}}{C_{Dt}})$

Wherein, C_AnRepresent trickle charge charging pile quantity, C_DnRepresenting and fill charging pile quantity soon, α represents that charging pile is complete Availability ratio.

5. a kind of city electric car public charging network service ability evaluation methodology as claimed in claim 1, It is characterized in that: the determination process of the ratio that the described train number of charging per hour accounts for whole day charging train number includes:

Be data according to electric automobile user's charging row, show that electric automobile user starts to charge up time be engraved in one Probability distribution β (t) within it, according to a hour demarcation interval t=1,2 ... 24；Then

According to electrically-charging equipment frequency of usage data, fast in drawing one day, the ratio of trickle charge facility access times is ρ；

The ratio using the train number filling facility charging soon to account for whole day charging train number per hour is calculated according to following formula

The ratio using the train number of trickle charge facility charging to account for whole day charging train number per hour is calculated according to following formula

According to following formula calculate per hour charging train number account for whole day charging train number ratio:

6. a kind of city electric car public charging network service ability evaluation methodology as claimed in claim 1, It is characterized in that: the determination process of described electrical automobile charge requirement per hour includes:

Obtain city and can use the electric automobile quantity of public electrically-charging equipment；

Brand according to described electric automobile and parameter, calculate the average course continuation mileage of electric automobile；

It is data according to electric automobile user's charging row, draws average residual mileage before charging electric vehicle；

It is data according to electric automobile user's charging row, obtains the per day distance travelled of automobile in city；

Electric automobile average daily charging times V is calculated by following formula_t:

$V_t=\frac{V_k}{V_m-V_d}$

Wherein, V_kFor average daily distance travelled, V_mFor average course continuation mileage, V_dFor average residual mileage；

By following formula calculating electric automobile per period charging times demand V:

Wherein,Represent that the train number that charges per hour accounts for the ratio of whole day charging train number；V_nRepresent electric automobile number Amount；V_tRepresent the average daily charging times of electric automobile.

7. a kind of city electric car public charging network service ability evaluation methodology as claimed in claim 1, It is characterized in that:

The average covering radius of public electrically-charging equipment in described city is determined by following formula:

$r=\sqrt{\frac{2S}{m\×3\sqrt{3}}}$

Wherein, r is the average covering radius of public electrically-charging equipment, and S is urban size, and m is charge point quantity.

8. a kind of city electric car public charging network service ability evaluation side as claimed in claim 1 Method, it is characterised in that: the determination process of described served distance evaluation index includes:

It is data according to electric automobile user's charging row, draws remaining mileage standard deviation sigma；

Due to remaining mileage followed normal distribution distribution before charging electric vehicle, average residual mileage is V_d, then remain Mileage normal distribution $d\left(r\right)=\frac{1}{\mathrm{\σ}\sqrt{2\mathrm{\π}}}\exp (-\frac{{(r-\mathrm{\μ})}^2}{2{\mathrm{\σ}}^2}),r\≥0;$

Described served distance evaluation index determines according to following formula:

$f\left(r\right)={\∫}_r^{\mathrm{\∞}}d\left(r\right)$

Wherein, f (r) is served distance evaluation index.

9. a kind of city electric car public charging network service ability evaluation methodology as claimed in claim 1, It is characterized in that: the determination process of the service ability of the public charging network of described city electric car includes:

Determine city electric car public charging network service ability E (t) in certain period；

Average service ability E is determined according to described service ability E (t)；

Described service ability E (t) is determined by following formula:

$E\left(t\right)=f\left(r\right)\×\frac{C}{V\left(t\right)}$

Described average service ability E is

10. a city electric car public charging network service ability evaluates system, it is characterised in that: bag Include:

Electrically-charging equipment allocation models, according to public electrically-charging equipment achievement data, calculates electrically-charging equipment allocative abilities；

User charges behavior model, according to electric automobile user's behavioral data and described public electrically-charging equipment index Data, the train number that charged per hour accounts for the ratio of the whole day total train number of charging；

Charging electric vehicle demand model, accounts for according to described electric automobile achievement data and the train number that charges per hour The ratio of the whole day total train number of charging, obtains electric automobile charge requirement per hour；

Charging service distance model, according to city achievement data and described public electrically-charging equipment achievement data, The average covering radius of public electrically-charging equipment to city；

Served distance evaluation model, according to the public electrically-charging equipment average covering radius data in city, is taken Business Distance evaluation index；

Charging network service ability computation model, according to citizens' activities rule and equilibrium of supply and demand rule, calculates city The service ability of the public charging network of city's electric automobile.

11. city electric car as claimed in claim 10 a kind of public charging network service ability evaluation system System, it is characterised in that: described system also includes the achievement data module obtaining achievement data；Described index number Electric automobile achievement data module, public electrically-charging equipment achievement data module, city index number is included according to module According to module and electric automobile user's behavioral data module.