CN110222943B - Electric vehicle energy consumption saving estimation method - Google Patents
Electric vehicle energy consumption saving estimation method Download PDFInfo
- Publication number
- CN110222943B CN110222943B CN201910400456.XA CN201910400456A CN110222943B CN 110222943 B CN110222943 B CN 110222943B CN 201910400456 A CN201910400456 A CN 201910400456A CN 110222943 B CN110222943 B CN 110222943B
- Authority
- CN
- China
- Prior art keywords
- certain
- electric
- equivalent
- energy
- electric automobile
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005265 energy consumption Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 22
- 239000000446 fuel Substances 0.000 claims abstract description 45
- 238000006467 substitution reaction Methods 0.000 claims abstract description 23
- 238000004364 calculation method Methods 0.000 claims abstract description 22
- 238000005070 sampling Methods 0.000 claims description 39
- 239000003245 coal Substances 0.000 claims description 16
- 238000010248 power generation Methods 0.000 claims description 14
- 239000000295 fuel oil Substances 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 230000009286 beneficial effect Effects 0.000 abstract description 8
- 239000003502 gasoline Substances 0.000 description 7
- 238000011161 development Methods 0.000 description 4
- 239000002283 diesel fuel Substances 0.000 description 4
- 239000003921 oil Substances 0.000 description 3
- 208000019901 Anxiety disease Diseases 0.000 description 2
- 230000036506 anxiety Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000003749 cleanliness Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 239000005431 greenhouse gas Substances 0.000 description 1
- 238000010234 longitudinal analysis Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Power Engineering (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Transportation (AREA)
- Sustainable Development (AREA)
- Development Economics (AREA)
- Sustainable Energy (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mechanical Engineering (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses an electric vehicle energy consumption saving estimation method, and belongs to the technical field of electric vehicles. The existing electric vehicle energy consumption estimation method cannot directly embody the energy saving equivalent of different vehicles; the inability to distinguish the source of electrical energy results in inaccurate energy savings for the calculation. According to the invention, the fuel substitution rate of the electric automobile is calculated according to the power consumption of the electric automobile per hundred kilometers and the fuel consumption of the fuel automobile per hundred kilometers compared with the fuel automobile of the same automobile type by combining the sales weight, and the charging amount of the electric automobile is substituted and converted to obtain the equivalent fuel substitution amount. The invention provides a method for distinguishing electric energy from different sources based on real-time charging data, so that the energy saving equivalent of an electric vehicle in a certain or a certain vehicle type or a certain area can be accurately calculated, the requirement that different user groups know the corresponding energy saving equivalent of the electric vehicle is met, and the method is beneficial to popularization of the electric vehicle.
Description
Technical Field
The invention relates to an electric vehicle energy consumption saving estimation method, and belongs to the technical field of electric vehicles.
Background
The traditional electric automobile energy consumption estimation generally adopts a sampling method or an average value method to calculate the total energy saving equivalent, but the electric automobile can be divided into: passenger car, bus, commercial car etc. its power consumption difference of different motorcycle types is great, even same motorcycle type, different service conditions, its energy consumption is also different.
The existing energy consumption estimation method can only calculate the total energy saving equivalent, can not independently calculate the energy saving equivalent according to specific electric vehicles, can not directly embody the energy saving equivalent of electric vehicles in a certain or a certain vehicle type or a certain area, and can not meet the requirement that different user groups know the energy saving equivalent of the corresponding electric vehicles.
And because domestic electric energy sources are complex, the proportion of the electric energy sources with water power and thermal power is different in different time periods, the water power cleanliness is higher, the energy consumption is saved greatly, and the thermal power energy consumption is saved less, so that electric automobiles use different kinds of electric energy, the energy saving and using equivalent are different, and if the sources of the electric energy are inaccurately distinguished, the calculated energy saving and using equivalent is inaccurate.
Further, the traditional electric automobile energy saving equivalent calculation method cannot obtain dynamic energy saving equivalent in real time, so that the electric automobile energy saving equivalent is not easy to intuitively show to the masses, and the electric automobile popularization is not easy to realize.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide the electric vehicle energy consumption saving estimation method which is based on real-time charging data, can distinguish different electric energy sources, can calculate the energy saving equivalent of an electric vehicle of a certain vehicle type or a certain area, is accurate in calculation and is beneficial to the popularization of the electric vehicle.
Another object of the present invention is to provide an electric vehicle energy consumption saving estimation method capable of displaying energy saving equivalent of an electric vehicle in a certain vehicle type or a certain area in real time according to charging data updated in real time.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
an electric vehicle energy consumption saving estimation method comprises the following steps:
the first step, acquiring charging data in real time according to a set sampling period
The charging data, namely the scheduling access data, comprises: charging amount and electric energy source data of an electric automobile in a certain vehicle model or a certain area;
step two, calculating equivalent fuel oil substitution quantity of electric automobile of a certain vehicle type or a certain area
According to the power consumption of the electric automobile per hundred kilometers and the fuel consumption of the fuel automobile per hundred kilometers of the same vehicle type, calculating the fuel substitution rate of the corresponding electric automobile by combining the sales weight, substituting and converting the charging quantity of the corresponding electric automobile to obtain the equivalent fuel substitution quantity; calculating equivalent energy consumption of the electric automobile according to the equivalent fuel substitution;
thirdly, calculating the thermal power duty ratio theta in the electric energy source of the current sampling period of the charging period according to the dispatching access data;
step four, calculating the power generation energy equivalent of the corresponding electric automobile according to the real-time electric energy source proportion of the electric automobile in a certain or a certain automobile type or a certain area;
and fifthly, obtaining the energy saving equivalent of the electric automobile of a certain vehicle type or a certain area in a certain sampling period according to the equivalent energy of the electric automobile and the equivalent energy data of the electric power generation.
The invention provides a method for distinguishing electric energy from different sources based on real-time charging data, so that the energy saving equivalent of an electric vehicle in a certain or a certain vehicle type or a certain area can be accurately calculated, the requirement that different user groups know the corresponding energy saving equivalent of the electric vehicle is met, and the method is beneficial to popularization of the electric vehicle.
The charge quantity is used as the core operation data of an electric automobile operation enterprise, is also a core index of electric automobile industry development, and is mainly embodied in:
1) The electric automobile is used as a complete chain for wholly transferring and consuming electric energy from production to transmission, and the charging quantity is a tie for closely connecting the charging facility and the electric automobile because the electric quantity output by the charging facility=the electric quantity input by the electric automobile=the energy consumed by the electric automobile.
2) The popularization level of the electric automobile is finally realized by improving the actual use frequency and the application range of the electric automobile, and the index directly related to the use of the electric automobile is the electric automobile charge amount, so that the actual running use condition of the electric automobile can be directly reflected.
3) Compared with government, vehicle enterprises and social operators, the national network company is responsible for accurate, comprehensive and high-real-time charge of the homing system, and provides possibility for subdivision processing of data.
Therefore, the present invention takes the electric vehicle charge amount as input data.
Although the charging amount of the electric automobile can comprehensively and scientifically embody the running and use conditions of the electric automobile, the important purpose of national popularization of the electric automobile is to replace petrochemical fuel with renewable energy sources so as to ensure the national energy safety. In addition, energy conservation and environmental protection are the focus of public concern, and the electric automobile can reduce greenhouse gas and pollutant emission generated by petrochemical fuel combustion, and improve air quality, so that the fuel quantity of the electric automobile charging equivalent substitution is required to be accurately calculated, and further the equivalent fuel automobile energy consumption and the energy consumption caused by the electric automobile charging quantity are calculated, and finally the energy saving equivalent of the electric automobile is obtained.
As a preferable technical measure, the method further comprises a sixth step of displaying the energy saving equivalent of the electric automobile of a certain or a certain vehicle type or a certain area in real time in different sampling periods; the unit of the sampling period is seconds, minutes, hours, days, months, quarters or years, and the person skilled in the art can select the data acquisition period according to actual needs.
The invention provides an effective technical means for integrating and classifying charging data, calculates the real-time energy-saving equivalent of different electric vehicles, and can perform real-time and dynamic display according to the charging data updated in real time, thereby being beneficial to intuitively displaying the energy-saving equivalent of the electric vehicle to the masses, facilitating the popularization of the electric vehicle, and having simple and practical scheme.
As a preferable technical measure, accumulating the energy saving equivalent of a certain electric automobile in a certain time period, and obtaining the total energy saving equivalent of the certain electric automobile in the certain time period; accumulating the energy saving equivalent of the electric automobile in a certain area in a certain sampling period to obtain the total energy saving equivalent of the electric automobile in the certain area in the certain sampling period; accumulating the energy saving equivalent of the electric automobile in a certain area in a certain time period to obtain the total energy saving equivalent of the electric automobile in the certain area in the certain time period; the energy saving equivalent of the electric vehicles in a plurality of areas in a certain time period is accumulated, so that the total energy saving equivalent of the electric vehicles in a plurality of areas in a certain time period can be obtained. The general energy consumption saving equivalent of the electric vehicle in the corresponding time period and the corresponding area can be calculated according to specific needs by a person skilled in the art, various user demands are met, and then the general energy consumption saving equivalent of the electric vehicle in a plurality of areas is displayed in real time and dynamically, so that the general energy consumption saving equivalent of the electric vehicle can be displayed to the masses intuitively, the popularization of the electric vehicle is facilitated, and the scheme is simple and practical.
As a preferable technical measure, electric vehicles are classified into passenger vehicles, buses, and commercial vehicles according to the types of electric vehicles. The current electric motor car uses the motorcycle type more, and the corresponding fuel car of different motorcycle types is also different, takes advantage of the fuel car that the electric motor car corresponds generally to use petrol, and the fuel car that the electric bus corresponds generally uses diesel oil, leads to calculating that the energy consumption practices thrift equivalent reference standard is different, therefore distinguishes according to electric motor car's motorcycle type, is convenient for follow-up accurate calculation.
As a preferred technical measure, the thermal power comprises electric energy manufactured by coal-fired, gas-fired and oil-fired power plants.
As a preferred technical measure of this,
the calculation formula of the thermal power duty ratio theta is as follows:
refreshing according to the sampling interval delta T of power grid data, and sharing all the dayWith a sampling period of
In any one sampling period, the calculation formula is as follows:
thermal power duty ratio theta in electric energy source in certain sampling period:
wherein:
l-the power generated by the whole society (containing external electricity) in the sampling period;
l1-thermal power generation power;
L′ n -nth extraneous power;
θ′ n -thermal power duty cycle in the nth external power transmission.
As a preferred technical measure of this,
the calculation method of the equivalent fuel oil substitution quantity Q of the certain electric automobile comprises the following steps:
n represents an electric automobile of a certain vehicle type or a certain region
Wherein:
C n -charging electric quantity of an electric automobile in a certain or a certain vehicle model or a certain region in a certain sampling period, kwh;
EFC n -the oil-electricity conversion rate, L/kwh, of the electric automobile of the same vehicle type;
f n the fuel oil vehicle of the same type as the electric vehicle has hundred kilometers of fuel oil consumption and L/100km;
e n the electric automobile of the same type has hundred kilometers of power consumption and kwh/100km.
In order to simplify the calculation, the hundred kilometers of power consumption of a certain electric automobile can be calculated by adopting hundred kilometers of power consumption data of the electric automobile of the same type.
Because the popularization of the electric automobile is still in a starting stage, the market occupancy rate of the electric automobile is far smaller than that of the fuel automobile, and therefore the fuel automobile with the similar size and function to the electric automobile is selected as an object for calculating the substitution rate when calculating the fuel substitution.
The electric automobile is mainly applied to automobile types such as electric passenger automobile types and heavy commercial automobile types, wherein the passenger automobile refers to an automobile with the maximum design total mass not exceeding 3500 kg, which is specified in the 2.1.1.1.1 clauses to 2.1.1.10 clauses of the terminology and definition of automobile and trailer types (GB/T3730.1-2001). The heavy commercial vehicle is mainly a passenger car type at present, the new energy passenger car accounts for 23.86% of the market proportion of the passenger car in 2016, and the sales volume structure of the bus in the market of the new energy passenger car is up to 81%, so that the heavy commercial vehicle becomes the core strength of the market of the new energy passenger car. The passenger car market basically adopts a gasoline engine, and the heavy commercial car market basically adopts a diesel engine, so that an electric car is divided into a passenger car group and a heavy commercial car group to be calculated respectively, and finally, the calculation is carried out through weighted average comprehensive determination.
As a preferred technical measure of this,
the calculation formula of the energy equivalent (gram standard coal) for the fuel oil automobile of a certain vehicle type is as follows:
E fn =conv m ×Q n ×ρ gm
ρ gm -fuel density;
conv m -fuel oil breaking standard coal factor.
The fuel oil can be divided into gasoline and diesel oil, and according to the prior data, the following can be known:
ρ g1 -a gasoline density at 20 ℃ (293.15K), 0.745 kg/l=745 g/L;
ρ g2 -diesel density at 20 ℃ (293.15K), 0.83 kg/l=830 g/L;
conv 1-the standard coal factor of gasoline, 1.4714;
conv 2-the standard coal factor for diesel fuel, 1.4571.
As a preferred technical measure of this,
electric power generation energy equivalent E corresponding to electric vehicle charge quantity of certain vehicle type or certain region en The calculation formula of (g of standard coal) is as follows:
E 0 the standard coal consumption of the thermal power generating unit is 298g/kwh;
C n -a certain sampling of electric vehicles in a certain or certain vehicle model or certain regionCharging electric quantity in a period, kwh;
η 1 -grid line loss rate (4.19%);
η 2 -a charging loss rate (5%);
θ—thermal power (including coal, gas, and oil power plants) duty ratio in the current sampling period electric energy source.
As a preferred technical measure of this,
the energy consumption saving calculation formula of the electric automobile in a certain vehicle model or a certain area is as follows:
ΔE n =E fn -E en 。
according to the equivalent energy consumption and the equivalent power generation energy consumption of the fuel automobile, the invention obtains the energy consumption saved by the electric automobile of a certain or a certain vehicle type or a certain region in a certain sampling period; further, the total energy saving equivalent can be calculated as needed.
The invention provides an objective, real and reflective estimation method for the energy saving equivalent of the electric vehicle, which is beneficial to the scientificity of government policy making and decision making, prospective and can also provide references for operators and vehicle enterprises to analyze industry trends, make business policies and seek mutual cooperation.
The invention is taken as an estimation method, the previous discrete data are organically combined, the energy saving equivalent of the electric vehicle in the electric vehicle industry is comprehensively embodied, the data support is provided for transverse comparison and quantitative evaluation between areas and industries, and the data reference is also provided for longitudinal analysis and trend prediction in the same area and industry.
The invention displays the energy-saving and emission-reducing effects of the electric automobile to the masses in a simple and direct mode, so that the characteristics of environment friendliness, energy conservation and environmental protection of the electric automobile are achieved. The worry that the electric automobile is hindered to popularize such as "charge anxiety" and "mileage anxiety" is solved, so that the propaganda and popularization work of the electric automobile is promoted, and the confidence of the government, industry and masses to the development of the electric automobile is enhanced.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a method for distinguishing electric energy from different sources based on real-time charging data, so that the energy saving equivalent of an electric vehicle in a certain or a certain vehicle type or a certain area can be accurately calculated, the requirement that different user groups know the corresponding energy saving equivalent of the electric vehicle is met, and the method is beneficial to popularization of the electric vehicle.
The invention provides an effective technical means for integrating and classifying charging data, calculates the real-time energy-saving equivalent of different electric vehicles, and can perform real-time and dynamic display according to the charging data updated in real time, thereby being beneficial to intuitively displaying the energy-saving equivalent of the electric vehicle to the masses, facilitating the popularization of the electric vehicle, and having simple and practical scheme.
Drawings
FIG. 1 is a flow chart of the calculation of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
On the contrary, the invention is intended to cover any alternatives, modifications, equivalents, and variations as may be included within the spirit and scope of the invention as defined by the appended claims. Further, in the following detailed description of the present invention, certain specific details are set forth in order to provide a better understanding of the present invention. The present invention may be fully understood by those skilled in the art without the details described herein.
As shown in fig. 1, in a specific embodiment of an electric vehicle energy consumption saving estimation method, according to the electric power consumption of each hundred kilometers of an electric vehicle and the fuel consumption of each hundred kilometers of a fuel vehicle of the same vehicle type, calculating the fuel substitution rate of the electric vehicle by combining sales weighting, and substituting and converting the charge quantity of the electric vehicle into equivalent fuel substitution quantity; calculating equivalent energy consumption of the electric automobile according to the equivalent fuel substitution; and obtaining the energy saving equivalent of the electric automobile according to the equivalent energy equivalent of the fuel automobile and the energy equivalent for power generation. According to different application vehicle types of electric vehicles, the electric vehicles are divided into riding electric vehicles and electric buses.
From experience it is known that:
the similar fuel-oil automobile of the electric car is used for hundred kilometers of oil consumption: f (f) 1 =6.56,
Electric buses are similar to fuel automobiles in hundred kilometers in oil consumption: f (f) 2 =40,
Hundred kilometers of power consumption of electric vehicles of passenger electric vehicles: e, e l =17,
Electric bus electric automobile hundred kilometers power consumption: e, e 2 =90,
Electric automobile oil-electricity conversion rate:
electric bus oil-electricity conversion rate:
total fuel substitution:
wherein: q (Q) 1 Is equivalent to the fuel oil substitution quantity Q of the riding electric vehicle 2 Is equivalent fuel oil substitution quantity of electric buses, C 1 Charging electric quantity for the riding electric vehicle; c (C) 2 And charging the electric bus with electric quantity.
Because the popularization of the electric automobile is still in a starting stage, the market occupancy rate of the electric automobile is far smaller than that of the fuel automobile, and therefore the fuel automobile with the similar size and function to the electric automobile is selected as an object for calculating the substitution rate when calculating the fuel substitution.
The electric automobile is mainly applied to automobile types such as electric passenger automobile types and heavy commercial automobile types, wherein the passenger automobile refers to an automobile with the maximum design total mass not exceeding 3500 kg, which is specified in the 2.1.1.1.1 clauses to 2.1.1.10 clauses of the terminology and definition of automobile and trailer types (GB/T3730.1-2001). The heavy commercial vehicle is mainly a passenger car type at present, the new energy passenger car accounts for 23.86% of the market proportion of the passenger car in 2016, and the sales volume structure of the bus in the market of the new energy passenger car is up to 81%, so that the heavy commercial vehicle becomes the core strength of the market of the new energy passenger car. The passenger car market basically adopts a gasoline engine, and the heavy commercial car market basically adopts a diesel engine, so that an electric car is divided into a passenger car group and a heavy commercial car group to be calculated respectively, and finally, the calculation is carried out through weighted average comprehensive determination.
Equivalent fuel automobile energy equivalent (gram standard coal)
E f =conv1×Q 1 ×ρ g1 +conv2×Q 2 ×ρ g2
ρ g1 -a gasoline density at 20 ℃ (293.15K), 0.745 kg/l=745 g/L;
ρ g2 -diesel density at 20 ℃ (293.15K), 0.83 kg/l=830 g/L;
conv 1-the standard coal factor of gasoline, 1.4714;
conv 2-the standard coal factor for diesel fuel, 1.4571.
According to the invention, the energy equivalent of the equivalent fuel automobile is calculated in a formulated manner, and then the energy equivalent can be converted into the forms of numbers, curves and figures according to a formula model, so that the defects in the background art can be overcome, the energy equivalent of the fuel automobile can be intuitively, simply and clearly reflected by the formulated calculation, the existing data can be deeply integrated, the potential of a platform can be excavated, the development level and trend of the electric automobile can be intuitively reflected, and the data support is laid for the improvement of the development mode of the electric automobile from the simple accumulation and steering efficiency on the simple number.
And (3) taking the value of theta:
refreshing according to the sampling interval delta T of power grid data, and sharing all the dayWith a sampling period of
In any one sampling period, the calculation formula is as follows:
wherein:
l is the power generated by the whole society in the sampling period, which comprises an external call;
L 1 -Zhejiang province power generation;
L′ n -the nth Zhejiang province external transmission power;
θ′ n the ratio of the thermal power in the external power transmission of Zhejiang province of nth can be calculated according to 0 at present.
The calculation method is reasonable and detailed, and is practical.
Energy equivalent E for power generation e (g standard coal)
E 0 The standard coal consumption of power generation of Zhejiang thermal power generating unit is 298g/kwh
C, charging electric quantity of the electric automobile in a certain area in a corresponding sampling period, kwh;
n 1 -power grid line loss rate, taking 4.19% empirically;
η 2 -charging loss rate, 5% empirically;
θ—thermal power in the current sampling period electric energy source, which comprises the duty ratio of coal-fired, gas-fired and oil-fired power plants.
The energy saving equivalent formula for calculating the electric automobile in a certain area in the sampling period is as follows:
ΔE=E f -E e =480.132C 1 +536.97C 2 -235.52(C 1 +C 2 )
therein 480.132C 1 +536.97C 2 Energy equivalent E for fuel automobile f (g of standard coal); 235.52 (C) 1 +C 2 ) For generating energy equivalent E e (g of standard coal).
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (1)
1. The electric vehicle energy consumption saving estimation method is characterized by comprising the following steps of:
the first step, acquiring charging data in real time according to a set sampling period
The charging data, namely the scheduling access data, comprises: charging amount and electric energy source data of an electric automobile in a certain vehicle model or a certain area;
step two, calculating equivalent fuel oil substitution quantity of electric automobile of a certain vehicle type or a certain area
According to the power consumption of the electric automobile per hundred kilometers and the fuel consumption of the fuel automobile per hundred kilometers of the same vehicle type, calculating the fuel substitution rate of the corresponding electric automobile by combining the sales weight, substituting and converting the charging quantity of the corresponding electric automobile to obtain the equivalent fuel substitution quantity; calculating equivalent energy consumption of the electric automobile according to the equivalent fuel substitution;
thirdly, calculating the thermal power duty ratio theta in the electric energy source of the current sampling period of the charging period according to the dispatching access data;
step four, calculating the power generation energy equivalent of the corresponding electric automobile according to the real-time electric energy source proportion of the electric automobile in a certain or a certain automobile type or a certain area;
fifthly, obtaining the energy saving equivalent of the electric automobile of a certain vehicle type or a certain area in a certain sampling period according to the equivalent energy of the electric automobile and the equivalent energy data of the electric power generation;
sixthly, displaying the energy saving equivalent of the electric automobile of a certain vehicle type or a certain area in real time in different sampling periods; the unit of the sampling period is seconds, minutes, hours, days, months, quarters or years;
accumulating the energy saving equivalent of a certain electric automobile in a certain time period to obtain the total energy saving equivalent of the certain electric automobile in the certain time period; accumulating the energy saving equivalent of the electric automobile in a certain area in a certain sampling period to obtain the total energy saving equivalent of the electric automobile in the certain area in the certain sampling period; accumulating the energy saving equivalent of the electric automobile in a certain area in a certain time period to obtain the total energy saving equivalent of the electric automobile in the certain area in the certain time period; accumulating the energy saving equivalent of the electric vehicles in a plurality of areas in a certain time period to obtain the total energy saving equivalent of the electric vehicles in a plurality of areas in a certain time period;
according to different application vehicle types of electric vehicles, the electric vehicles are divided into passenger vehicles, buses and commercial vehicles;
the thermal power comprises electric energy manufactured by coal-fired, gas-fired and oil-fired power plants;
in any sampling period, the calculation formula of the thermal power duty ratio theta in the electric energy source in a certain sampling period is as follows:
wherein:
L-the power of the whole society in the sampling period;
the electric automobile of a certain vehicle model or a certain area, etcEffective fuel substitutionQ n The calculation method of (1) is as follows:
wherein:
-the charge capacity of an electric vehicle in a certain sampling period of a certain vehicle model or a certain area;
-the oil-electricity conversion rate of the electric automobile of the same vehicle type; />——/>; ——/>;
The energy equivalent calculation formula for a certain vehicle type fuel oil automobile is as follows:
power generation energy equivalent corresponding to electric vehicle charge quantity of certain vehicle type or certain regionThe calculation formula is as follows:
-charging electric quantity in a certain sampling period of an electric automobile of a certain vehicle type or a certain area;
the energy consumption saving calculation formula of the electric automobile in a certain vehicle model or a certain area is as follows:
obtaining the energy saving equivalent of the electric automobile of a certain vehicle type or a certain area in a certain sampling period according to the equivalent energy of the fuel automobile and the energy for power generation; further, the total energy saving equivalent can be calculated as needed.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910400456.XA CN110222943B (en) | 2019-05-14 | 2019-05-14 | Electric vehicle energy consumption saving estimation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910400456.XA CN110222943B (en) | 2019-05-14 | 2019-05-14 | Electric vehicle energy consumption saving estimation method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110222943A CN110222943A (en) | 2019-09-10 |
CN110222943B true CN110222943B (en) | 2023-06-20 |
Family
ID=67821263
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910400456.XA Active CN110222943B (en) | 2019-05-14 | 2019-05-14 | Electric vehicle energy consumption saving estimation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110222943B (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010238091A (en) * | 2009-03-31 | 2010-10-21 | Chugoku Electric Power Co Inc:The | Emission allowance management system, emission allowance management device and emission allowance management method |
JP2011134179A (en) * | 2009-12-25 | 2011-07-07 | Chugoku Electric Power Co Inc:The | Method for trading carbon dioxide emission right and system to be used for the method |
KR20130106524A (en) * | 2012-03-20 | 2013-09-30 | 한양대학교 산학협력단 | Method to calculator fuel efficiency of vehicle |
WO2014014259A1 (en) * | 2012-07-18 | 2014-01-23 | 한국전자통신연구원 | Energy management method and energy management system using same |
WO2019182182A1 (en) * | 2018-03-23 | 2019-09-26 | 데이터 엠 리미티드 | Cryptocurrency payment system for providing discounts as rewards for carbon emission reductions |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP5067383B2 (en) * | 2009-02-25 | 2012-11-07 | 三菱自動車工業株式会社 | Electric vehicle carbon dioxide emission calculation device |
CN101886940A (en) * | 2010-07-09 | 2010-11-17 | 天津汽车检测中心 | System and method for detecting energy consumption and emission of hybrid electric vehicle |
CN103544541B (en) * | 2013-10-15 | 2016-08-24 | 国家电网公司 | Intelligence distribution system carbon emission reduction is evaluated and measuring method |
CN104251726A (en) * | 2014-07-29 | 2014-12-31 | 浙江吉利罗佑发动机有限公司 | Energy consumption testing method of non-plugin hybrid vehicle |
US10387926B2 (en) * | 2015-10-30 | 2019-08-20 | Global Design Corporation Ltd. | Cloud-based methods for identifying energy profile and estimating energy consumption and cloud-based energy profile usage identification system |
CN108009748B (en) * | 2017-12-22 | 2021-11-12 | 东南大学 | Energy-saving emission-reducing effect evaluation method for electric energy substitution project |
CN108959190B (en) * | 2018-06-12 | 2022-04-01 | 国网福建省电力有限公司 | Electric energy substitution theory potential calculation method based on heat equivalent method |
-
2019
- 2019-05-14 CN CN201910400456.XA patent/CN110222943B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010238091A (en) * | 2009-03-31 | 2010-10-21 | Chugoku Electric Power Co Inc:The | Emission allowance management system, emission allowance management device and emission allowance management method |
JP2011134179A (en) * | 2009-12-25 | 2011-07-07 | Chugoku Electric Power Co Inc:The | Method for trading carbon dioxide emission right and system to be used for the method |
KR20130106524A (en) * | 2012-03-20 | 2013-09-30 | 한양대학교 산학협력단 | Method to calculator fuel efficiency of vehicle |
WO2014014259A1 (en) * | 2012-07-18 | 2014-01-23 | 한국전자통신연구원 | Energy management method and energy management system using same |
WO2019182182A1 (en) * | 2018-03-23 | 2019-09-26 | 데이터 엠 리미티드 | Cryptocurrency payment system for providing discounts as rewards for carbon emission reductions |
Also Published As
Publication number | Publication date |
---|---|
CN110222943A (en) | 2019-09-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110162859B (en) | Electric vehicle carbon dioxide emission reduction estimation method | |
CN109613905B (en) | Method and device for dynamically identifying actual operation high-oil-consumption severe working condition of heavy commercial vehicle | |
Gonder et al. | Using GPS travel data to assess the real world driving energy use of plug-in hybrid electric vehicles (PHEVs) | |
Maimoun et al. | Emissions from US waste collection vehicles | |
Zamboni et al. | Assessment of heavy-duty vehicle activities, fuel consumption and exhaust emissions in port areas | |
CN106855960A (en) | A kind of charging electric vehicle load forecasting method under Peak-valley TOU power price guiding | |
CN115655730A (en) | Method for calculating NOx emission in PEMS test of heavy-duty diesel vehicle | |
CN105550417B (en) | A kind of electric vehicle Life cycle greenhouse gas emission assessment measuring method | |
CN110222377B (en) | Electric vehicle atmospheric pollutant emission reduction estimation method | |
CN110222952B (en) | Method for calculating green development system index of electric automobile | |
CN110222943B (en) | Electric vehicle energy consumption saving estimation method | |
Bielaczyc et al. | World-wide trends in powertrain system development in light of emissions legislation, fuels, lubricants, and test methods | |
Husnjak et al. | Evaluation of eco-driving using smart mobile devices | |
CN109100148B (en) | Method and device for calculating fuel economy of diesel-natural gas dual-fuel commercial vehicle | |
CN113505493A (en) | Air pollutant reduction amount accounting method for intelligent scheduling electric vehicle | |
Dallmann et al. | Low-carbon technology pathways for soot-free urban bus fleets in 20 megacities | |
Hao et al. | A novel state-of-charge-based method for plug-in hybrid vehicle electric distance analysis validated with actual driving data | |
Winther et al. | Technology dependent BC and OC emissions for Danmark, Greenland and the Faroe Islands calculated for the time period 1990–2030 | |
CN110222945B (en) | Green emission reduction index estimation method for electric vehicle | |
Wei et al. | Analysis of vehicle CO and NOx road emissions test based on PEMS | |
CN114038085A (en) | Vehicle maintenance management system and method | |
Sharma et al. | An economic and in-service emissions analysis of conventional, hybrid and electric vehicles for Australian driving conditions | |
Domingues et al. | Environmental regulation and automotive industrial policies in Brazil: the case of INOVAR-AUTO | |
Zhang et al. | Research on PHEV comprehensive fuel consumption based on fuel-electricity conversion | |
CN112529331B (en) | Multi-situation road traffic energy conservation and emission reduction prediction method based on LEAP model |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |