CN106407587A - Building method for anti-idling system of hybrid truck - Google Patents

Abstract

The invention discloses a building method for an anti-idling system for a hybrid truck, and belongs to the technical field of hybrid vehicles. The method comprises the following steps of A, building a hybrid truck anti-idling system model; B, optimizing the hybrid truck anti-idling system model based on MDO multidisciplinary optimization theories; C, building a hybrid truck anti-idling system optimization platform according to an optimization result in the step B; and D, determining a test prototype engineering drawing, assembling a test prototype, and performing mechanical performance and electric control performance tests under driving and operation conditions according to the hybrid truck anti-idling system optimization platform completed in the step C. According to the method provided by the invention, the design technology is optimized by multiple disciplines, size and performance optimization is performed on configuration of the anti-idling system according to constraint conditions consisting of low cost, high performance and simple composition, and thus energy efficiency of a power system of the hybrid truck is improved.

Description

The method for building up of the anti-idling system of hybrid power lorry

Technical field

A kind of the present invention relates to Development of HEV Technology field, more particularly, it relates to the anti-idling of hybrid power lorry The method for building up of system.

Background technology

With the raising to environment and the human-subject test of environmental conservation for the people, the green friendship of green energy resource and sustainable development Logical transportation technology research becomes the most important thing, it is intended that reducing PM 2.5 Air Pollutant Emission, reduction motor vehicles are made The atmospheric pollution becoming.

But, all using diesel oil as main power source, therefore exhaust gas from diesel vehicle is big to most of Freight Transport vehicles at present The main source of particulate matter in gas pollutant, especially in idling operation, the discharge capacity of PM 2.5 exceeds normally travel work 5 times of discharge capacity under condition, this produces when resulting in quite a few particle emission by lorry idling.Such as：One allusion quotation In order to driver's cabin heating or freeze when the inter-city transport lorry of type stops overnight in truck service station, 1 year about idling 1830 hours, this idling can lead to consume substantial amounts of fuel oil, consumes about within 1 year 95,0,000,000 gallons of diesel fuel.

The lorry of joining of long-time idling not only considerably increases fuel consumption, and is the main tribute of greenhouse gas emission Contributor.Just, when running at high speed, diesel engine has up to 40% fuel efficiency taking conventional lorry as a example, but during idling, Fuel efficiency is reduced to 1-11%, it is therefore prevented that the control system of long-time idling will certainly significantly save fuel consumption simultaneously Reduce pollutant emission.

Content of the invention

The technical problem to be solved in the invention is to provide a kind of method for building up of the anti-idling system of hybrid power lorry, first First set up anti-idling assembly parts, INTELLIGENT IDENTIFICATION system model, whole vehicle model, and utilize Multidisciplinary Optimization technology, according to According to low cost, high-performance and composition simply as constraints, the configuration of anti-idling system is carried out with the optimization of size and performance, And then improve the energy efficiency of the dynamical system of hybrid power lorry.

For solving above-mentioned technical problem, the technical solution adopted in the present invention is：

A kind of anti-idling system of hybrid power lorry it is characterised in that：Including several steps as follows：

Step A, set up hybrid power lorry anti-idling system model, described model include whole vehicle model, be used for recognizing whole The INTELLIGENT IDENTIFICATION model of vehicle model driving cycle, it is arranged in whole vehicle model and anti-idle with what INTELLIGENT IDENTIFICATION model outfan was connected Fast assembly parts, wherein whole vehicle model are the simple substance amount calculating hybrid power lorry power consumption and car load energy efficiency Model；Anti- idling assembly parts include engine mockup, electric motor-generator model, energy storage system model, fuel consumption Amount model and matching component model；

Step B, based on MDO multidisciplinary optimization theoretical hybrid power lorry anti-idling system model is carried out hi-fi and Extensibility optimizes；

Step C, set up hybrid power lorry anti-idling system Optimization Platform according to the optimum results in step B；

Step D, the hybrid power lorry anti-idling system Optimization Platform being completed according to step C, determine 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.

Further improvement is that of technical solution of the present invention：Step A includes following step：

Step A1：Hybrid power lorry anti-idling system model, wherein GUI simulated program is set up in GUI simulated program For Matlab or Simulink；

Step A2：Identify hybrid power goods using OBD port (OBD) in INTELLIGENT IDENTIFICATION model and torque sensor The traveling of car and working condition；

Step A3：Data in step A2 is substituted in the hybrid power lorry anti-idling system model that step A1 is set up , carry out test data emulation and evaluation；

Further improvement is that of technical solution of the present invention：Whole vehicle model adopts single quality model, according to INTELLIGENT IDENTIFICATION mould The speed of hybrid power lorry and acceleration that type obtains, and substitute into following computing formula calculating hybrid power lorry total work Rate：

P_des(t)=[ma (t)+F_drag(t)+F_RR]v_des(t)

In formula：v_desT () is the speed in car load state of cyclic operation；M is complete vehicle quality；A (t) is car load state of cyclic operation mid-term The car load longitudinal acceleration hoped；F_dragT () is air drag；F_RRFor tire drag.

Further improvement is that of technical solution of the present invention：Described engine mockup is used for calculating engine efficiency, its meter Calculate formula as follows：

In formula：n_eT () is engine efficiency；P_fuelT () is the enthalpy related to fuel mass flow；T_eT () is electromotor Output torque；ω_tT () is engine speed；

The output of described electric motor-generator model or power consumption are as follows：

P_elec(t)=η_m(t)T_m(t)ω_m(t)

In formula：Right side includes efficiency, moment and the rotating speed of electric motor-generator.

Described energy storage model includes battery storage system model and flywheel stocking system model.

Further improvement is that of technical solution of the present invention：The power of battery storage system model is as follows：

P_batt,des(t)=I_batt(t)²R_int+V_oc(t)I_batt(t)

In formula：R_intFor the internal resistance of cell；V_ocT () is battery open circuit voltage；I_battT () is battery current；

The formula that releases energy in described flywheel stocking system model is as follows：

In formula：M is flywheel mass；R is flywheel radius；ω_minFor flywheel minimum speed；ω_maxFor flywheel maximum (top) speed；

Further improvement is that of technical solution of the present invention：In step B multidisciplinary optimization theory MDO mathematic(al) representation such as Under：

Minimize J(X_D,U(X_D))w.r.t.X_D

s.t.C(X_D,U(X_D))

Wherein, X_DIt is the design variable in optimized algorithm, U (X_D) it is system output variables, J (X_D,U(X_D)) it is target letter Number, C (X_D,U(X_D)) it is constraint function；Design variable X wherein in optimized algorithm_DIncluding engine power, generator power, Power of motor, battery storage system power or flywheel storage power；Object function J (X_D, U (X_D)) corresponding car load fuel consumption Carbon tariff in amount, the power consumption of car load, anti-idling assembly parts cost and certain time limit；Constraint function C (X_D, U (X_D)) Including max. speed, climbing property, acceleration.

Further improvement is that of technical solution of the present invention：Object function J (X_D, U (X_D)) it is expressed as equation below：

In formula：T is the total time of state of cyclic operation；Fuel_consumed、Fuel_costFuel consumption cost；Carbon_costCarbon closes Tax；Electrictiy_consumed、Electrictiy_costPower consumption cost；Battery_cell、Battery_costBattery consumption becomes This；ICE_costElectromotor cost；Motor_costFor motor cost.

Further improvement is that of technical solution of the present invention：Electromotor cost ICE_costInterpolating function is as follows：

ICE_cost=ICE_base+(S-S_lb)×Cost_inc

In formula：ICE_baseFor minimal stroke engine reference cost；S_lbFor minimal stroke electromotor corresponding stroke lower limit Value；S is the optimized variable under each step-length in optimizer；Cost_incIt is to increase with engine strokes to cause cost to increase Interpolation constant.

Motor cost Motor_costInterpolating function is as follows：

Motor_cost=Motor_base+(EM_scale-EM_scale,lb)×Cost_inc

In formula：Motor_baseFor minimum dimension motor base cost；EM_scale,lbFor minimum dimension motor corresponding size system Number；EM_scaleFor the optimized variable under each step-length in optimizer；Cost_incIt is to increase with motor size to cause cost to increase Interpolation constant.

Further improvement is that of technical solution of the present invention：The anti-idling system of hybrid power lorry set up in step C is excellent Change platform include for detect lorry dynamical system travel and the INTELLIGENT IDENTIFICATION system of working condition, power management system module, Energy storage system module, output module, the power management system module that the outfan of described INTELLIGENT IDENTIFICATION system connects inputs End, the outfan of described power management system module connects dynamical system, and dynamical system connects the input of energy storage module, The outfan of described energy storage system module is connected with output module；INTELLIGENT IDENTIFICATION system includes the car being connected with dynamical system Carry diagnostic port and torque sensor.

Further improvement is that of technical solution of the present invention：Flywheel stocking system includes the flywheel electricity being connected with dynamical system Flywheel rotor and the electric power converter being connected with flywheel rotor that machine is connected with fly-wheel motor, flywheel rotor is using melting gel silicon Fibrous material；Described battery storage system includes the battery being connected with dynamical system.

Due to employing technique scheme, the technological progress that the present invention obtains is：The anti-idling system of present invention design The needs of hybrid power cart system power not only can be met, regenerating braking energy can also be utilized to greatest extent, improve Fuel economy, extends the whole working cycle of this system；Reduce system cost simultaneously to greatest extent, improve dynamical system further The efficiency of system.

Using Multidisciplinary Optimization technology, according to low cost, high-performance and composition simply as constraints, to anti-idle 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.With When according to hybrid power lorry difference Real-road Driving Cycle, change anti-idling system object function weight coefficient, reach minimizing Discharge, the optimization aim reducing system cost, improving rate of return on investment.

The present invention, always according to the hybrid power lorry anti-idling system platform optimizing, determines experimental prototype engineering drawing, dress Join experimental prototype, every trade of going forward side by side sails the mechanically and electrically control performance test with working condition.Achieve the mixing of hybrid power lorry The function that dynamical system Design and optimization, test and highly integrated soft and hardware environment combine, contributes to Automobile Enterprises product more Hurry up, more effectively meet new standard of fuel and pollutant and greenhouse gas emission requires, shorten the research and development of products cycle, significantly subtract The low cost of hybrid power lorry, the pressing problem of effectively solving China Automobile Enterprises core technology ghost.

Brief description

Fig. 1 is flow chart of the present invention；

Fig. 2 is single quality model that the present invention adopts；

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 hybrid power lorry anti-idling system on-line testing figure.

Specific embodiment

With reference to embodiment, the present invention is described in further details：

As shown in figure 1, a kind of method for building up of the anti-idling system of hybrid power lorry, including several steps as follows：

Step A, set up hybrid power lorry anti-idling system model, described model include whole vehicle model, be used for recognizing whole The INTELLIGENT IDENTIFICATION model of vehicle model driving cycle, it is arranged in whole vehicle model and anti-idle with what INTELLIGENT IDENTIFICATION model outfan was connected Fast assembly parts, wherein whole vehicle model are the simple substance amount calculating hybrid power lorry power consumption and car load energy efficiency Model；Anti- idling assembly parts include engine mockup, electric motor-generator model, energy storage system model, fuel consumption Amount model and matching component model；

Hybrid power lorry anti-idling system model is to set up in GUI simulated program, and wherein GUI simulated program is Matlab or Simulink；And using OBD port (OBD) in INTELLIGENT IDENTIFICATION model and torque sensor identification car load The traveling of model and working condition；Then traveling INTELLIGENT IDENTIFICATION model being obtained and the data of working condition substitute into hybrid power In lorry anti-idling system model, carry out experimental data emulation and evaluation.

The foundation wherein setting up this INTELLIGENT IDENTIFICATION system is that goods carrying vehicle travels and regenerative power aid system power demand Algorithm for estimating.Permissible according to the general power obtaining at OBD needed for engine information and speed and acceleration information, electromotor Estimate, the difference of engine general power and driving power is exactly the power of power assist system.

Whole vehicle model looks back type auto model using single quality model, this model for Backward-looking, this model Input be desired driver cycle- driving cycle operating mode, this model only considers driving force, air drag, rolling resistance Etc. factor, the dynamic trait that hybrid power lorry suspension, steering intercouple is negligible, as shown in Fig. 2 according to step In A2, INTELLIGENT IDENTIFICATION model obtains speed and the acceleration of whole vehicle model, and substitutes into following computing formula calculating whole vehicle model General power, in order to realize the driving of hybrid power lorry and to overcome air drag and tire drag：

P_des(t)=[ma (t)+F_drag(t)+F_RR]v_des(t)

In formula：v_desT () is the speed in car load state of cyclic operation；M is complete vehicle quality；A (t) is car load state of cyclic operation mid-term The car load longitudinal acceleration hoped；F_dragT () is air drag；F_RRFor tire drag.

Anti- idling assembly parts include engine mockup, electric motor-generator model, energy storage system model, fuel oil Consumption model and matching component model, wherein matching component model include transmission model, clutch model；

Wherein engine mockup is used for calculating engine efficiency, and its computing formula is as follows：

In formula：n_eT () is engine efficiency；P_fuelT () is the enthalpy related to fuel mass flow；T_eT () is electromotor Output torque；ω_tT () is engine speed；

The output of described electric motor-generator model or power consumption are as follows：

P_elec(t)=η_m(t)T_m(t)ω_m(t)

In formula：Right side includes efficiency, moment and the rotating speed of electric motor-generator.Electric motor-generator efficiency can utilize moment Find with speed Map figure.

Can pass through electromotor, electric motor-generator model, optimize motor characteristic curve and power torque curve so as to Possess 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 the power of wherein battery storage system is as follows：

P_batt,des(t)=I_batt(t)²R_int+V_oc(t)I_batt(t)

In formula：R_intFor the internal resistance of cell；V_ocT () is battery open circuit voltage；I_battT () is battery current；

Its calculating process is as follows, and take absolute value less solution, open-circuit voltage V_ocT () is the function of battery SOC.

The actual charge and discharge power of battery can be expressed as follows：

P_batt,act(t)=V_oc(t)I_batt(t)

Stocking system of the present invention another kind form is：Flywheel stocking system.Flywheel stocking system mainly include flywheel rotor, The ingredient such as motor and electric power converter.Its work process mainly contains storage energy and two processes that release energy, that is, Release energy when storage energy (charging) and traveling and the work of parking auxiliary working apparatus when heavy duty truck is braked and (put Electricity) two processes.Because the specific energy formula of flywheel is as follows：

In formula：The axial force that σ is subject to for flywheel outer portion；ρ is flywheel mass density.From formula, strong from tension Degree is high and the little material of mass density, it is possible to obtain preferably energy density.Therefore, this project flywheel material selection melts solidifying silicon fibre The fly wheel system of dimension material, its 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；ω_minFor flywheel minimum speed；ω_maxFor flywheel maximum (top) speed；

Step B, based on MDO multidisciplinary parallel optimization theory high-fidelity is carried out to hybrid power lorry anti-idling system model Property and extensibility optimization；

Multidisciplinary parallel optimization is theoretical, abbreviation MDO, is a kind of by exploring the association with interaction in utilizing works system To design the methodology of complication system and subsystem with mechanism；Its main thought is profit in the whole process of complication system design With distributed computer network (DCN) technology Lai the knowledge of integrated every subjects, apply effective design optimization strategy, organization and management Design process, its objective is, by making full use of cooperative effect produced by the interaction between every subjects, to obtain system Total optimization solution.

In step B, the mathematic(al) representation of multidisciplinary optimization MDO is as follows, MDO optimizer data flowchart, as shown in Figure 3：

Minimize J(X_D,U(X_D))w.r.t.X_D

s.t.C(X_D,U(X_D))

Wherein, X_DIt is the design variable in optimized algorithm, U (X_D) it is system output variables, J (X_D,U(X_D)) it is target letter Number, C (X_D,U(X_D)) it is constraint function；Design variable X wherein in optimized algorithm_DIncluding engine power, generator power, The power of power of motor, battery storage system power or fly wheel system；Object function J (X_D, U (X_D)) corresponding car load fuel oil disappears Carbon tariff in consumption, the power consumption of car load, anti-idling assembly parts cost and certain time limit；Constraint function C (X_D, U (X_D)) include max. speed, climbing property, acceleration.

Optimize in loop at each, design variable XD is fixing, Discipline1 and Discipline2 can determine System exports U₁(X_D) and U₂(X_D).Then, system output variables are returned to MDO optimizer, for evaluation objective function J (X_D, U(X_D)) and constraint function C (X_D,U(X_D)).

Wherein object function J (X_D, U (X_D)) it is expressed as equation below：

In formula：T is the total time of state of cyclic operation；Fuel_consumed、Fuel_costFuel consumption cost；Carbon_costCarbon closes Tax；Electrictiy_consumed、Electrictiy_costPower consumption cost；Battery_cell、Battery_costBattery consumption becomes This；ICE_costElectromotor cost；Motor_costFor motor cost.

The cost of fuel and power consumption be on the basis of diesel-fuel price based on China typical urban and family's electricity charge really Fixed；The regeneration accessory power system parts cost such as electromotor and motor is numerous due to manufacturer, and product category is various, no May know one by one, therefore, the present invention obtains corresponding parts according to engine strokes and the interpolation of motor size size and becomes This, wherein electromotor cost ICEcost interpolating function is as follows：

ICE_cost=ICE_base+(S-S_lb)×Cost_inc

In formula：ICE_baseFor minimal stroke engine reference cost；S_lbFor minimal stroke electromotor corresponding stroke lower limit Value；S is the optimized variable under each step-length in optimizer；Cost_incIt is to increase with engine strokes to cause cost to increase Interpolation constant.

Motor cost Motor_costInterpolating function is as follows：

Motor_cost=Motor_base+(EM_scale-EM_scale,lb)×Cost_inc

In formula：Motor_baseFor minimum dimension motor base cost；EM_scale,lbFor minimum dimension motor corresponding size system Number；EM_scaleFor the optimized variable under each step-length in optimizer；Cost_incIt is to increase with motor size to cause cost to increase Interpolation constant.

Step C, set up hybrid power lorry anti-idling system Optimization Platform according to the optimum results in step B；

Set up hybrid power lorry anti-idling system Optimization Platform according to optimum results in step B, that sets up in step C is mixed Close power lorry anti-idling system Optimization Platform 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, described INTELLIGENT IDENTIFICATION system The power management system module input that outfan connects, the outfan of described power management system module connects dynamical system, Dynamical system connects the input of energy storage module, and the outfan of described energy storage system module is connected with output module； INTELLIGENT IDENTIFICATION system includes onboard diagnostic system and the torque sensor being connected with dynamical system.

Flywheel rotor that the fly-wheel motor that flywheel stocking system includes being connected with dynamical system is connected with fly-wheel motor and with The electric power converter that flywheel rotor connects, flywheel rotor is using melting gel silica fibre material；Described battery storage system include with The battery that dynamical system connects.

Step D, the anti-idling system of hybrid power lorry being completed according to step C, determine experimental prototype engineering drawing, assembling Experimental prototype, every trade of going forward side by side sails the mechanically and electrically control performance test with working condition, the wherein anti-idling system of hybrid power lorry On-line testing as shown in figure 5, wherein analog loading system can be air-conditioning.

Claims (10)

1. a kind of method for building up of the anti-idling system of hybrid power lorry is it is characterised in that include several steps as follows：

Step A, set up hybrid power lorry anti-idling system model, described model includes whole vehicle model, is used for recognizing car load mould The INTELLIGENT IDENTIFICATION model of type driving cycle, the anti-idling being arranged in whole vehicle model and being connected with INTELLIGENT IDENTIFICATION model outfan are total Become parts, wherein whole vehicle model is the simple substance amount mould calculating hybrid power lorry power consumption and integral energy efficiency Type；Anti- idling assembly parts include engine mockup, electric motor-generator model, energy storage system model, fuel consumption Model and matching component model；

Step B, hi-fi is carried out to hybrid power lorry anti-idling system model and can expand based on MDO multidisciplinary optimization is theoretical Malleability optimizes；

Step C, set up hybrid power lorry anti-idling system Optimization Platform according to the optimum results in step B；

Step D, the hybrid power lorry anti-idling system Optimization Platform being completed according to step C, determine 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.

2. the anti-idling system of hybrid power lorry according to claim 1 method for building up it is characterised in that：Described step A includes following step：

Step A1：Set up hybrid power lorry anti-idling system model in GUI simulated program, wherein GUI simulated program is Matlab or Simulink；

Step A2：Identify traveling and the operation of whole vehicle model using OBD port in INTELLIGENT IDENTIFICATION model and torque sensor Operating mode；

Step A3：Data in step A2 is substituted in the hybrid power lorry anti-idling system model that step A1 is set up, enters The emulation of row test data and evaluation.

3. the anti-idling system of hybrid power lorry according to claim 1 method for building up it is characterised in that：Described car load Model is using single quality model, the speed of the whole vehicle model being obtained according to INTELLIGENT IDENTIFICATION model and acceleration, and substitutes into following Computing formula calculates hybrid power lorry general power：

P_des(t)=[ma (t)+F_drag(t)+F_RR]v_des(t)

In formula：v_desT () is the speed in car load state of cyclic operation；M is complete vehicle quality；A (t) is desired in car load state of cyclic operation Car load longitudinal acceleration；F_dragT () is air drag；F_RRFor tire drag.

4. the anti-idling system of hybrid power lorry according to claim 1 method for building up it is characterised in that：

Described engine mockup is used for calculating engine efficiency, and its computing formula is as follows：

$n_e\left(t\right)=\frac{T_e\left(t\right){\mathrm{\ω}}_t\left(t\right)}{P_{fuel}\left(t\right)}$

In formula：n_eT () is engine efficiency；P_fuelT () is the enthalpy related to fuel mass flow；T_eT () is that electromotor is defeated Go out moment；ω_tT () is engine speed；

The output of described electric motor-generator model or power consumption are as follows：

P_elec(t)=η_m(t)T_m(t)ω_m(t)

In formula：Right side includes efficiency, moment and the rotating speed of electric motor-generator；

Described energy storage system model includes battery storage system model, flywheel stocking system model.

5. the anti-idling system of hybrid power lorry according to claim 4 method for building up it is characterised in that：Battery storage The power of system model is as follows：

P_batt,des(t)=I_batt(t)²R_int+V_oc(t)I_batt(t)

In formula：R_intFor the internal resistance of cell；V_ocT () is battery open circuit voltage；I_battT () is battery current；

The described flywheel stocking system model formula that releases energy is as follows：

In formula：M is flywheel mass；R is flywheel radius；ω_minFor flywheel minimum speed；ω_maxFor flywheel maximum (top) speed.

6. the anti-idling system of hybrid power lorry according to claim 1 method for building up it is characterised in that：Described step In B, the mathematic(al) representation of multidisciplinary optimization theory MDO is as follows：

Minimize J(X_D,U(X_D))w.r.t.X_D

s.t.C(X_D,U(X_D))

Wherein, X_DIt is the design variable in optimized algorithm, U (X_D) it is system output variables, J (X_D,U(X_D)) it is object function, C (X_D,U(X_D)) it is constraint function；Design variable X wherein in optimized algorithm_DIncluding engine power, generator power, motor Power, battery storage system power or flywheel storage system power；Object function J (X_D, U (X_D)) corresponding car load fuel consumption Carbon tariff in amount, the power consumption of car load, anti-idling assembly parts cost and certain time limit；Constraint function C (X_D, U (X_D)) Including max. speed, climbing property, acceleration.

7. the anti-idling system of hybrid power lorry according to claim 6 method for building up it is characterised in that：Described target Function J (X_D, U (X_D)) it is expressed as equation below：

$\begin{array}{c}J=\[\underset{t=0}{\overset{T}{\Σ}}{\mathrm{Fuel}}_{consumed}\×({\mathrm{Fuel}}_{\cos t}+{\mathrm{Carbon}}_{tax})+\\ \underset{t=0}{\overset{T}{\Σ}}{\mathrm{Electricity}}_{consumed}\×{\mathrm{Electricity}}_{\cos t}\]\×days\×Years+{\mathrm{Battery}}_{cell}\×{\mathrm{Battery}}_{\cos t}\\ +{\mathrm{ICE}}_{\cos t}+{\mathrm{Motor}}_{\cos t}\end{array}$

In formula：T is the total time of state of cyclic operation；Fuel_consumed、Fuel_costFuel consumption cost；Carbon_costCarbon tariff； Electrictiy_consumed、Electrictiy_costPower consumption cost；Battery_cell、Battery_costBattery consumption cost； ICE_costElectromotor cost；Motor_costFor motor cost.

8. the anti-idling system of hybrid power lorry according to claim 7 method for building up it is characterised in that：

Described electromotor cost ICE_costInterpolating function is as follows：

ICE_cost=ICE_base+(S-S_lb)×Cost_inc

In formula：ICE_baseFor minimal stroke engine reference cost；S_lbFor minimal stroke electromotor corresponding stroke lower limit；S For the optimized variable under each step-length in optimizer；Cost_incIt is to increase, with engine strokes, the interpolation causing cost to increase Constant；

Motor cost Motor_costInterpolating function is as follows：

Motor_cost=Motor_base+(EM_scale-EM_scale,lb)×Cost_inc

In formula：Motor_baseFor minimum dimension motor base cost；EM_scale,lbFor the corresponding size factor of minimum dimension motor； EM_scaleFor the optimized variable under each step-length in optimizer；Cost_incIt is to increase with motor size to cause cost to increase Interpolation constant.

9. the anti-idling system of hybrid power lorry according to claim 1 method for building up it is characterised in that：Described step The hybrid power lorry anti-idling system Optimization Platform set up in C is included for detecting lorry dynamical system traveling and working condition INTELLIGENT IDENTIFICATION system, power management system module, energy storage system module, output module, described INTELLIGENT IDENTIFICATION system The power management system module input that outfan connects, the outfan of described power management system module connects dynamical system, Dynamical system connects the input of energy storage module, and the outfan of described energy storage system module is connected with output module； INTELLIGENT IDENTIFICATION system includes the OBD port being connected with dynamical system and torque sensor.

10. the anti-idling system of hybrid power according to claim 4 method for building up it is characterised in that：Described flywheel storage Flywheel rotor that the fly-wheel motor that deposit system includes being connected with dynamical system is connected with fly-wheel motor and being connected with flywheel rotor Electric power converter, flywheel rotor is using melting gel silica fibre material；Described battery storage system includes being connected with dynamical system Battery.