CN106407587B - The method for building up of the anti-idling system of hybrid power lorry - Google Patents
The method for building up of the anti-idling system of hybrid power lorry Download PDFInfo
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Abstract
The invention discloses a kind of method for building up of anti-idling system of hybrid power lorry, belong to Development of HEV Technology field, including the following steps: step A, establish the anti-idling system model of hybrid power lorry；Step B, the anti-idling system model of hybrid power lorry is optimized based on MDO multidisciplinary optimization theory；Step C, the anti-idling system Optimization Platform of hybrid power lorry is established according to optimum results in step B；Step D, the anti-idling system Optimization Platform of hybrid power lorry completed according to step C, determines experimental prototype engineering drawing, assembly experiment model machine, every trade of going forward side by side sails the mechanically and electrically control performance test with working condition.The present invention utilizes Multidisciplinary Optimization technology, is simply used as constraint condition according to low cost, high-performance and composition, the optimization of size and performance is carried out to the configuration of anti-idling system, and then improve the energy efficiency of the dynamical system of hybrid power lorry.
Description
Technical field
The present invention relates to Development of HEV Technology fields, more specifically to a kind of anti-idling of hybrid power lorry
The method for building up of system.
Background technique
The green of raising with people to the human-subject test of environment and environmental protection, green energy resource and sustainable development is handed over
Logical transportation technology research becomes the most important thing, it is intended that reducing 2.5 Air Pollutant Emission of PM, reduction motor vehicle is made
At atmosphere pollution.
But most of Freight Transport vehicles are all using diesel oil as main power source at present, therefore exhaust gas from diesel vehicle is big
The main source of particulate matter in gas pollutant, especially in idling operation, the discharge amount of PM 2.5 exceeds normally travel work
5 times of discharge amount under condition, it is by generating when lorry idling that this, which results in quite a few particle emission,.Such as: an allusion quotation
The inter-city transport lorry of type the parking of truck service station overnight when in order to heat or freeze to driver's cabin, 1 year about idling
1830 hours, this idling will lead to a large amount of fuel oil of consumption, consume about within 1 year 95,0,000,000 gallons of diesel fuel.
Long-time idling not only considerably increases fuel consumption with lorry, and is the main tribute of greenhouse gas emission
Contributor.Just by taking conventional lorry as an example, when running at high speed, diesel engine has up to 40% fuel efficiency, but when idling,
Fuel efficiency is reduced to 1-11%, it is therefore prevented that the control system of long-time idling will certainly save significantly fuel consumption simultaneously
Reduce pollutant emission.
Summary of the invention
The technical problem to be solved by the invention is to provide a kind of method for building up of anti-idling system of hybrid power lorry, first
Anti- idling assembly components, INTELLIGENT IDENTIFICATION system model, whole vehicle model are first established, and utilize Multidisciplinary Optimization technology, according to
It is simply used as constraint condition according to low cost, high-performance and composition, the optimization of size and performance is carried out to the configuration of anti-idling system,
And then improve the energy efficiency of the dynamical system of hybrid power lorry.
In order to solve the above technical problems, the technical scheme adopted by the invention is that:
A kind of anti-idling system of hybrid power lorry, it is characterised in that: comprise the following steps:
Step A, the anti-idling system model of hybrid power lorry is established, the model includes whole vehicle model, whole for recognizing
The INTELLIGENT IDENTIFICATION model of vehicle model driving cycle is set in whole vehicle model and preventing of connecting with INTELLIGENT IDENTIFICATION model output end is idle
Fast assembly components, wherein whole vehicle model is the simple substance amount to calculate hybrid power lorry power consumption and vehicle energy efficiency
Model；Anti- idling assembly components include engine mockup, electric motor-generator model, energy storage system model, fuel consumption
Measure model and matching component model；
Step B, based on MDO multidisciplinary optimization theory to the anti-idling system model of hybrid power lorry carry out hi-fi and
Scalability optimization；
Step C, the anti-idling system Optimization Platform of hybrid power lorry is established according to the optimum results in step B；
Step D, the anti-idling system Optimization Platform of hybrid power lorry completed according to step C, determines experimental prototype engineering
Drawing, assembly experiment model machine, every trade of going forward side by side sail the mechanically and electrically control performance test with working condition.
Technical solution of the present invention further improvement lies in that: step A including the following steps:
Step A1: the anti-idling system model of hybrid power lorry is established in GUI simulated program, wherein GUI simulated program
For Matlab or Simulink；
Step A2: hybrid power goods is identified using onboard diagnostics port (OBD) in INTELLIGENT IDENTIFICATION model and torque sensor
The traveling and working condition of vehicle；
Step A3: the data in step A2 are substituted into the anti-idling system model of hybrid power lorry that step A1 is established
, carry out test data emulation and evaluation；
Technical solution of the present invention further improvement lies in that: whole vehicle model is using single quality model, according to INTELLIGENT IDENTIFICATION mould
The velocity and acceleration for the hybrid power lorry that type obtains, and substitute into following calculation formula and calculate hybrid power lorry total work
Rate:
Pdes(t)=[ma (t)+Fdrag(t)+FRR]vdes(t)
In formula: vdesIt (t) is the speed in vehicle state of cyclic operation；M is complete vehicle quality；A (t) is vehicle state of cyclic operation mid-term
The vehicle longitudinal acceleration of prestige；FdragIt (t) is air drag；FRRFor tire drag.
Technical solution of the present invention further improvement lies in that: the engine mockup is counted for calculating engine efficiency
It is as follows to calculate formula:
In formula: neIt (t) is engine efficiency；PfuelIt (t) is enthalpy relevant to fuel mass flow；TeIt (t) is engine
Output torque；ωtIt (t) is engine speed；
The output of the electric motor-generator model or consumption power are as follows:
Pelec(t)=ηm(t)Tm(t)ωm(t)
In formula: right side includes the efficiency, torque and revolving speed of electric motor-generator.
The energy storage model includes battery storage system model and flywheel stocking system model.
Technical solution of the present invention further improvement lies in that: the power of battery storage system model is as follows:
Pbatt,des(t)=Ibatt(t)2Rint+Voc(t)Ibatt(t)
In formula: RintFor the internal resistance of cell；VocIt (t) is battery open circuit voltage；IbattIt (t) is battery current；
The formula that releases energy in the flywheel stocking system model is as follows:
In formula: M is flywheel mass；R is flywheel radius；ωminFor flywheel minimum speed；ωmaxFor flywheel maximum (top) speed；
Technical solution of the present invention further improvement lies in that: the mathematic(al) representation of multidisciplinary optimization theory MDO is such as in step B
Under:
Minimize J(XD,U(XD))w.r.t.XD
s.t.C(XD,U(XD))
Wherein, XDIt is the design variable in optimization algorithm, U (XD) it is system output variables, J (XD,U(XD)) it is target letter
Number, C (XD,U(XD)) it is constraint function；The wherein design variable X in optimization algorithmDIncluding engine power, generator power,
Power of motor, battery storage system power or flywheel store power；Objective function J (XD, U (XD)) correspond to vehicle fuel consumption
Carbon tariff in amount, the power consumption of vehicle, anti-idling assembly components cost and certain time limit；Constraint function C (XD, U (XD))
Including max. speed, climbing property, acceleration.
Technical solution of the present invention further improvement lies in that: objective function J (XD, U (XD)) it is expressed as following formula:
In formula: T is the total time of state of cyclic operation；Fuelconsumed、FuelcostFuel consumption cost；CarboncostCarbon closes
Tax；Electrictiyconsumed、ElectrictiycostPower consumption cost；Batterycell、BatterycostBattery consumption at
This；ICEcostEngine cost；MotorcostFor motor cost.
Technical solution of the present invention further improvement lies in that: engine cost ICEcostInterpolating function is as follows:
ICEcost=ICEbase+(S-Slb)×Costinc
In formula: ICEbaseFor minimal stroke engine reference cost；SlbFor the corresponding stroke lower limit of minimal stroke engine
Value；S is the optimized variable in optimizer under each step-length；CostincCause increased costs to increase with engine strokes
Interpolation constant.
Motor cost MotorcostInterpolating function is as follows:
Motorcost=Motorbase+(EMscale-EMscale,lb)×Costinc
In formula: MotorbaseFor minimum dimension motor base cost；EMscale,lbFor the corresponding size system of minimum dimension motor
Number；EMscaleFor the optimized variable under step-length each in optimizer；CostincCause increased costs to increase with motor size
Interpolation constant.
Technical solution of the present invention further improvement lies in that: the anti-idling system of hybrid power lorry established in step C is excellent
Change platform include for detect lorry dynamical system traveling and the INTELLIGENT IDENTIFICATION system of working condition, power management system module,
Energy storage system module, output module, the power management system module input of the output end connection of the INTELLIGENT IDENTIFICATION system
End, the output end of the power management system module connect dynamical system, and dynamical system connects the input terminal of energy storage module,
The output end of the energy storage system module is connect with output module；INTELLIGENT IDENTIFICATION system includes the vehicle connecting with dynamical system
Carry diagnostic port and torque sensor.
Technical solution of the present invention further improvement lies in that: flywheel stocking system include connect with dynamical system flywheel electricity
Machine, the flywheel rotor connecting with fly-wheel motor and the electric power converter connecting with flywheel rotor, flywheel rotor, which uses, melts gel silicon
Fibrous material；The battery storage system includes the battery connecting with dynamical system.
By adopting the above-described technical solution, the technological progress achieved by the present invention is: the anti-idling system that the present invention designs
It not only can satisfy the needs of hybrid power cart system power, regenerating braking energy can also be utilized to greatest extent, improve
Fuel economy extends the entire duty cycle of the system；System cost is reduced to greatest extent simultaneously, further increases dynamical system
The efficiency of system.
Using Multidisciplinary Optimization technology, it is simply used as constraint condition according to low cost, high-performance and composition, it is idle to preventing
The configuration of speed system carries out the optimization of size and performance, and then improves the energy efficiency of the dynamical system of hybrid power lorry.Together
When according to hybrid power lorry difference Real-road Driving Cycle, change the weighting coefficient of anti-idling system objective function, reach reduction
Discharge, the optimization aim for reducing system cost, improving rate of return on investment.
The present invention determines experimental prototype engineering drawing also according to the anti-idling system platform of hybrid power lorry of optimization, dress
With experimental prototype, every trade of going forward side by side sails the mechanically and electrically control performance test with working condition.Realize the mixing of hybrid power lorry
The function that dynamical system Design and optimization, test and highly integrated soft and hardware environment combine, facilitates Automobile Enterprises product more
Fastly, more effectively meet new standard of fuel and pollutant and greenhouse gas emission requirement, shorten the research and development of products period, subtract significantly
The low cost of hybrid power lorry effectively solves the pressing problem of China's Automobile Enterprises core technology ghost.
Detailed description of the invention
Fig. 1 is flow chart of the present invention；
Fig. 2 is single quality model that the present invention uses；
Fig. 3 is multidisciplinary optimization data flowchart of the present invention；
Fig. 4 is the anti-idling system of hybrid power lorry；
Fig. 5 is the anti-idling system on-line testing figure of hybrid power lorry.
Specific embodiment
The present invention is described in further details below with reference to embodiment:
As shown in Figure 1, a kind of method for building up of the anti-idling system of hybrid power lorry, comprises the following steps:
Step A, the anti-idling system model of hybrid power lorry is established, the model includes whole vehicle model, whole for recognizing
The INTELLIGENT IDENTIFICATION model of vehicle model driving cycle is set in whole vehicle model and preventing of connecting with INTELLIGENT IDENTIFICATION model output end is idle
Fast assembly components, wherein whole vehicle model is the simple substance amount to calculate hybrid power lorry power consumption and vehicle energy efficiency
Model；Anti- idling assembly components include engine mockup, electric motor-generator model, energy storage system model, fuel consumption
Measure model and matching component model；
The anti-idling system model of hybrid power lorry is established in GUI simulated program, and wherein GUI simulated program is
Matlab or Simulink；And vehicle is identified using onboard diagnostics port (OBD) in INTELLIGENT IDENTIFICATION model and torque sensor
The traveling and working condition of model；Then the data of the traveling and working condition that INTELLIGENT IDENTIFICATION model are obtained substitute into hybrid power
In the anti-idling system model of lorry, experimental data emulation and evaluation are carried out.
The foundation for wherein establishing the INTELLIGENT IDENTIFICATION system is power needed for freight truck traveling and regenerative power auxiliary system
Algorithm for estimating.According to obtaining engine information and speed and acceleration information from OBD, general power needed for engine can be with
It estimates, the difference of engine general power and driving power is exactly the power of power assist system.
Whole vehicle model is using single quality model, which is that Backward-looking looks back type auto model, the model
Input be that desired driver cycle- drives state of cyclic operation, which only considers driving force, air drag, rolling resistance
Etc. factors, hybrid power lorry suspension, the dynamic characteristics that intercouples of steering can be ignored, as shown in Fig. 2, according to step
INTELLIGENT IDENTIFICATION model obtains the velocity and acceleration of whole vehicle model in A2, and substitutes into following calculation formula and calculate whole vehicle model
General power, to realize the driving of hybrid power lorry and overcome air drag and tire drag:
Pdes(t)=[ma (t)+Fdrag(t)+FRR]vdes(t)
In formula: vdesIt (t) is the speed in vehicle state of cyclic operation；M is complete vehicle quality；A (t) is vehicle state of cyclic operation mid-term
The vehicle longitudinal acceleration of prestige；FdragIt (t) is air drag；FRRFor tire drag.
Anti- idling assembly components include engine mockup, electric motor-generator model, energy storage system model, fuel oil
Consumption model and matching component model, wherein matching component model includes transmission model, clutch model；
Wherein for engine mockup for calculating engine efficiency, calculation formula is as follows:
In formula: neIt (t) is engine efficiency；PfuelIt (t) is enthalpy relevant to fuel mass flow；TeIt (t) is engine
Output torque；ωtIt (t) is engine speed；
The output of the electric motor-generator model or consumption power are as follows:
Pelec(t)=ηm(t)Tm(t)ωm(t)
In formula: right side includes the efficiency, torque and revolving speed of electric motor-generator.Electric motor-generator efficiency can use torque
It is found on speed Map figure.
It can optimize motor characteristic curve and power torque curve by engine, electric motor-generator model, make it
Have optimal fuel economy, minimum discharge and preferable driveability.
Energy stores model includes battery storage system model and flywheel stocking system model.
Battery storage system model is that the battery model based on open-circuit voltage, wherein open-circuit voltage and battery charging state close
The lookup table of system tables look-up, and wherein the power of battery storage system is as follows:
Pbatt,des(t)=Ibatt(t)2Rint+Voc(t)Ibatt(t)
In formula: RintFor the internal resistance of cell；VocIt (t) is battery open circuit voltage；IbattIt (t) is battery current；
Its calculating process is as follows, and take absolute value lesser solution, open-circuit voltage Voc(t) be battery SOC function.
The practical charge and discharge power of battery can be expressed as follows:
Pbatt,act(t)=Voc(t)Ibatt(t)
Stocking system another kind form of the present invention are as follows: flywheel stocking system.Flywheel stocking system mainly include flywheel rotor,
The component parts such as motor and electric power converter.Its course of work mainly contains storage energy and two processes that release energy, i.e.,
It releases energy and (puts when storage energy (charging) and traveling and parking auxiliary working apparatus work in heavy duty truck braking
Electricity) two processes.Since the specific energy formula of flywheel is as follows:
In formula: σ is the axial force that flywheel outer portion is subject to；ρ is flywheel mass density.By formula it is found that selecting tension strong
Material high and that mass density is small is spent, better energy density can be obtained.Therefore, it is fine to melt solidifying silicon for this project flywheel material selection
The fly wheel system of material is tieed up, theoretical specific energy is 20 times of existing hydrogen-nickel battery.
The formula that releases energy in flywheel stocking system model is as follows:
In formula: M is flywheel mass；R is flywheel radius；ωminFor flywheel minimum speed；ωmaxFor flywheel maximum (top) speed；
Step B, high-fidelity is carried out to the anti-idling system model of hybrid power lorry based on the multidisciplinary parallel optimization theory of MDO
Property and scalability optimization；
Multidisciplinary parallel optimization is theoretical, abbreviation MDO, is a kind of association by exploring with interacting in utilizing works system
The methodology of complication system and subsystem is designed with mechanism；Its main thought is benefit during the entire process of complication system design
The knowledge that every subjects are integrated with distributed computer network (DCN) technology, using effective design optimization strategy, organization and management
Design process, the purpose is to obtain system by making full use of synergistic effect caused by the interaction between every subjects
Total optimization solution.
The mathematic(al) representation of multidisciplinary optimization MDO is as follows in step B, MDO optimizer data flowchart, as shown in Figure 3:
Minimize J(XD,U(XD))w.r.t.XD
s.t.C(XD,U(XD))
Wherein, XDIt is the design variable in optimization algorithm, U (XD) it is system output variables, J (XD,U(XD)) it is target letter
Number, C (XD,U(XD)) it is constraint function；The wherein design variable X in optimization algorithmDIncluding engine power, generator power,
The power of power of motor, battery storage system power or fly wheel system；Objective function J (XD, U (XD)) corresponding vehicle fuel oil disappears
Carbon tariff in consumption, the power consumption of vehicle, anti-idling assembly components cost and certain time limit；Constraint function C (XD, U
(XD)) it include max. speed, climbing property, acceleration.
In each optimization circuit, design variable XD be it is fixed, Discipline1 and Discipline2 can be determined
System exports U1(XD) and U2(XD).Then, system output variables are returned to MDO optimizer, are used for evaluation goal function J (XD,
U(XD)) and constraint function C (XD,U(XD))。
Wherein objective function J (XD, U (XD)) it is expressed as following formula:
In formula: T is the total time of state of cyclic operation；Fuelconsumed、FuelcostFuel consumption cost；CarboncostCarbon closes
Tax；Electrictiyconsumed、ElectrictiycostPower consumption cost；Batterycell、BatterycostBattery consumption at
This；ICEcostEngine cost；MotorcostFor motor cost.
The cost of fuel and power consumption is true on the basis of the diesel-fuel price and family's electricity charge based on China typical urban are used
Fixed；Engine and motor etc. regenerate accessory power system components cost since manufacturer is numerous, and product category is various, no
May know one by one, therefore, the present invention according to the interpolation of engine strokes and motor size size obtain corresponding components at
This, wherein engine cost ICEcost interpolating function is as follows:
ICEcost=ICEbase+(S-Slb)×Costinc
In formula: ICEbaseFor minimal stroke engine reference cost；SlbFor the corresponding stroke lower limit of minimal stroke engine
Value；S is the optimized variable in optimizer under each step-length；CostincCause increased costs to increase with engine strokes
Interpolation constant.
Motor cost MotorcostInterpolating function is as follows:
Motorcost=Motorbase+(EMscale-EMscale,lb)×Costinc
In formula: MotorbaseFor minimum dimension motor base cost；EMscale,lbFor the corresponding size system of minimum dimension motor
Number；EMscaleFor the optimized variable under step-length each in optimizer；CostincCause increased costs to increase with motor size
Interpolation constant.
Step C, the anti-idling system Optimization Platform of hybrid power lorry is established according to the optimum results in step B；
The anti-idling system Optimization Platform of hybrid power lorry is established according to optimum results in step B, that establishes in step C is mixed
The anti-idling system Optimization Platform of power lorry is closed as shown in figure 4, including for detecting lorry dynamical system traveling and working condition
INTELLIGENT IDENTIFICATION system, power management system module, energy storage system module, output module, the INTELLIGENT IDENTIFICATION system
The output end of the power management system module input of output end connection, the power management system module connects dynamical system,
Dynamical system connects the input terminal of energy storage module, and the output end of the energy storage system module is connect with output module；
INTELLIGENT IDENTIFICATION system includes the onboard diagnostic system and torque sensor connecting with dynamical system.
Flywheel stocking system include the fly-wheel motor being connect with dynamical system, the flywheel rotor being connect with fly-wheel motor and with
The electric power converter of flywheel rotor connection, flywheel rotor, which uses, melts gel silica fibre material；The battery storage system include with
The battery of dynamical system connection.
Step D determines experimental prototype engineering drawing according to the anti-idling system of hybrid power lorry that step C is completed, and assembles
Experimental prototype, every trade of going forward side by side sail the mechanically and electrically control performance test with working condition, wherein the anti-idling system of hybrid power lorry
On-line testing as shown in figure 5, wherein analog loading system can be air-conditioning.
Claims (6)
1. a kind of method for building up of the anti-idling system of hybrid power lorry, it is characterised in that comprise the following steps:
Step A, the anti-idling system model of hybrid power lorry is established, the model includes whole vehicle model, for recognizing vehicle mould
The INTELLIGENT IDENTIFICATION model of type driving cycle is set in whole vehicle model and the anti-idling connecting with INTELLIGENT IDENTIFICATION model output end is total
At components, wherein whole vehicle model is the simple substance amount mould to calculate hybrid power lorry power consumption and integral energy efficiency
Type；Anti- idling assembly components include engine mockup, electric motor-generator model, energy storage system model, fuel consumption
Model and matching component model；
The step A including the following steps:
Step A1: establishing the anti-idling system model of hybrid power lorry in GUI simulated program, and wherein GUI simulated program is
Matlab or Simulink；
Step A2: the traveling and operation of onboard diagnostics port in INTELLIGENT IDENTIFICATION model and torque sensor identification whole vehicle model are utilized
Operating condition；
Step A3: the data in step A2 being substituted into the anti-idling system model of hybrid power lorry that step A1 is established, into
The emulation of row test data and evaluation；
Step B, hi-fi is carried out to the anti-idling system model of hybrid power lorry based on MDO multidisciplinary optimization theory and can expanded
Malleability optimization；
The mathematic(al) representation of multidisciplinary optimization theory MDO is as follows in the step B:
MinimizeJ(XD,U(XD))w.r.t.XD
s.t.C(XD,U(XD))
Wherein, XDIt is the design variable in optimization algorithm, U (XD) it is system output variables, J (XD,U(XD)) it is objective function, C
(XD,U(XD)) it is constraint function；The wherein design variable X in optimization algorithmDIncluding engine power, generator power, motor
Power, battery storage system power or flywheel storage system power；Objective function J (XD, U (XD)) correspond to vehicle fuel consumption
Carbon tariff in amount, the power consumption of vehicle, anti-idling assembly components cost and certain time limit；Constraint function C (XD, U (XD))
Including max. speed, climbing property, acceleration；
Objective function J (the XD, U (XD)) it is expressed as following formula:
In formula: T is the total time of state of cyclic operation；Fuelconsumed、FuelcostFuel consumption cost；CarboncostCarbon consumption at
This；CarbontaxCarbon tariff；Electrictiyconsumed、ElectrictiycostPower consumption cost；Batterycell、
BatterycostBattery consumption cost；ICEcostEngine cost；MotorcostFor motor cost；
The engine cost ICEcostInterpolating function is as follows:
ICEcost=ICEbase+(S-Slb)×Costinc
In formula: ICEbaseFor minimal stroke engine reference cost；SlbFor the corresponding stroke lower limit value of minimal stroke engine；S
For the optimized variable under step-length each in optimizer；CostincFor the interpolation for increasing and causing increased costs with engine strokes
Constant；
Motor cost MotorcostInterpolating function is as follows:
Motorcost=Motorbase+(EMscale-EMscale,lb)×Costinc
In formula: MotorbaseFor minimum dimension motor base cost；EMscale,lbFor the corresponding size factor of minimum dimension motor；
EMscaleFor the optimized variable under step-length each in optimizer；CostincCause increased costs to increase with motor size
Interpolation constant；
Step C, the anti-idling system Optimization Platform of hybrid power lorry is established according to the optimum results in step B；
Step D, the anti-idling system Optimization Platform of hybrid power lorry completed according to step C, determines experimental prototype engineering drawing,
Assembly experiment model machine, every trade of going forward side by side sail the mechanically and electrically control performance test with working condition.
2. the method for building up of the anti-idling system of hybrid power lorry according to claim 1, it is characterised in that: the vehicle
Model is using single quality model, according to the velocity and acceleration for the whole vehicle model that INTELLIGENT IDENTIFICATION model obtains, and substitutes into as follows
Calculation formula calculates hybrid power lorry general power:
Pdes(t)=[ma (t)+Fdrag(t)+FRR]vdes(t)
In formula: vdesIt (t) is the speed in vehicle state of cyclic operation；M is complete vehicle quality；A (t) is desired in vehicle state of cyclic operation
Vehicle longitudinal acceleration；FdragIt (t) is air drag；FRRFor tire drag.
3. the method for building up of the anti-idling system of hybrid power lorry according to claim 1, it is characterised in that:
For the engine mockup for calculating engine efficiency, calculation formula is as follows:
In formula: neIt (t) is engine efficiency；PfuelIt (t) is enthalpy relevant to fuel mass flow；Te(t) it is exported for engine
Torque；ωtIt (t) is engine speed；
The output of the electric motor-generator model or consumption power are as follows:
Pelec(t)=ηm(t)Tm(t)ωm(t)
In formula: ηmIt (t) is the efficiency of engine；TmIt (t) is the torque of generator；ωmIt (t) is the revolving speed of generator；
The energy storage system model includes battery storage system model, flywheel stocking system model.
4. the method for building up of the anti-idling system of hybrid power lorry according to claim 3, it is characterised in that: battery storage
The power of system model is as follows:
Pbatt,des(t)=Ibatt(t)2Rint+Voc(t)Ibatt(t)
In formula: RintFor the internal resistance of cell；VocIt (t) is battery open circuit voltage；IbattIt (t) is battery current；
The flywheel stocking system model formula that releases energy is as follows:
In formula: M is flywheel mass；R is flywheel radius；ωminFor flywheel minimum speed；ωmaxFor flywheel maximum (top) speed.
5. the method for building up of the anti-idling system of hybrid power lorry according to claim 1, it is characterised in that: the step
The anti-idling system Optimization Platform of the hybrid power lorry established in C includes for detecting lorry dynamical system traveling and working condition
INTELLIGENT IDENTIFICATION system, power management system module, energy storage system module, output module, the INTELLIGENT IDENTIFICATION system
The output end of the power management system module input of output end connection, the power management system module connects dynamical system,
Dynamical system connects the input terminal of energy storage module, and the output end of the energy storage system module is connect with output module；
INTELLIGENT IDENTIFICATION system includes the onboard diagnostics port connecting with dynamical system and torque sensor.
6. the method for building up of the anti-idling system of hybrid power lorry according to claim 3, it is characterised in that: the flywheel
Stocking system includes the fly-wheel motor connecting with dynamical system, the flywheel rotor connecting with fly-wheel motor and connect with flywheel rotor
Electric power converter, flywheel rotor is using melting gel silica fibre material；The battery storage system includes connecting with dynamical system
Battery.
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