CN105667501B - The energy distributing method of motor vehicle driven by mixed power with track optimizing function - Google Patents
The energy distributing method of motor vehicle driven by mixed power with track optimizing function Download PDFInfo
- Publication number
- CN105667501B CN105667501B CN201610161698.4A CN201610161698A CN105667501B CN 105667501 B CN105667501 B CN 105667501B CN 201610161698 A CN201610161698 A CN 201610161698A CN 105667501 B CN105667501 B CN 105667501B
- Authority
- CN
- China
- Prior art keywords
- car
- motor vehicle
- mixed power
- optimization
- speed
- 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
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W20/00—Control systems specially adapted for hybrid vehicles
- B60W20/30—Control strategies involving selection of transmission gear ratio
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units, or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
- B60W30/14—Adaptive cruise control
- B60W30/143—Speed control
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/10—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
- B60W40/105—Speed
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/24—Energy storage means
- B60W2510/242—Energy storage means for electrical energy
- B60W2510/244—Charge state
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2554/00—Input parameters relating to objects
- B60W2554/80—Spatial relation or speed relative to objects
- B60W2554/804—Relative longitudinal speed
Abstract
A kind of energy distributing method of the motor vehicle driven by mixed power with track optimizing function, belongs to Driving Skills field.The purpose of the present invention is the optimal speed trajectory of motor vehicle driven by mixed power during being cruised in real time according to front truck velocity information optimization, so as to improve the energy distributing method of the motor vehicle driven by mixed power with track optimizing function of motor vehicle driven by mixed power fuel economy to greatest extent.The present invention gathers the velocity information of front truck and the SOC optimizations from car present speed information, motor vehicle driven by mixed power battery from car traveling speed trajectory by information acquisition module.The present invention provides a kind of optimization method of the energy allocation strategy with trajectory planning function for motor vehicle driven by mixed power, i.e. motor vehicle driven by mixed power gathers the velocity information of front truck first, and the optimal speed trajectory of car is come from according to the optimization calculating of the velocity information of collection, velocity perturbation unnecessary during motor vehicle driven by mixed power cruises is reduced, the economy and comfortableness of motor vehicle driven by mixed power is improved.
Description
Technical field
The invention belongs to Driving Skills field.
Background technology
With the raising of intelligence degree, cruise control system starts to popularize in all kinds of vehicles, and the adaptive of vehicle is patrolled
Boat control primarily focuses on traffic safety, i.e. front truck and accelerated, and vehicle just and then accelerates, and front truck slows down, and vehicle follows deceleration, not
Have the problem of economy from the aspect of the wheelpath of vehicle and comfortableness.In addition, with environmental problem and energy crisis
Increasingly highlight, the requirement for VE Vehicle Economy is also gradually stepped up.For present circumstances, the fuel oil of motor vehicle driven by mixed power
Economy optimization be concentrated mainly on motor vehicle driven by mixed power energy allocation model (moment of torsion distribution) and gear (fast compare) optimize this two
Individual aspect, i.e. motor vehicle driven by mixed power are before by outside plants such as global positioning system (GPS)/GIS-Geographic Information System (GIS)
The velocity information for gathering front truck first is put, and motor vehicle driven by mixed power is optimized using optimized algorithm according to the velocity information of front truck
Allocation model (moment of torsion distribution) and gear (speed ratio).The premise of whole optimization process is the acquisition of preceding vehicle speed, but by
The preceding vehicle speed of external equipment collection there may be fluctuation, i.e. front truck and there is a situation where anxious acceleration, anxious deceleration.Ensureing safety
Under the premise of, it is unnecessary, the serious influence hybrid electric vehicle of meeting that this anxious acceleration/urgency, which is slowed down for motor vehicle driven by mixed power,
Fuel economy.
The content of the invention
The purpose of the present invention is that motor vehicle driven by mixed power is optimal during being cruised in real time according to front truck velocity information optimization
Speed trajectory, so as to improve the hybrid power with track optimizing function of motor vehicle driven by mixed power fuel economy to greatest extent
The energy distributing method of vehicle.
The present invention optimizes the step of travelling speed trajectory from car：
（1）Information gathering：By information acquisition module gather front truck velocity information and from car present speed information, mixing
The SOC of power car battery；
（2）Track of vehicle optimizes：With the front truck velocity information of collectionWith from vehicle speed informationBased on, optimization is certainly
The travel speed track of car, by wheel driving forceAnd wheel braking forceAs control variable, it is designated as, speed
As state variable, it is designated as, it is according to the kinetics equation that vehicle overall design can obtain vehicle：
（1）
Wherein,For from car car weight,For from the resistance of car vehicle travel process,
（2）
Wherein,For from the front face area of car,For from the coefficient of air resistance of car,To be hindered from the rolling of car
Force coefficient,For acceleration of gravity,For road grade；
Index from during car cruise track optimizingIt is made up of two parts：
（3）
Wherein, first halfIt is the constraint of economy, represents the output in the vehicle unit time
Power, latter halfIt is the constraint of comfortableness, representing the speed trajectory of optimization will change gently,
For weight coefficient；
Track optimizing problem based on front truck velocity information is described as in prediction time domain after discretization：
（4）
Wherein,,To optimize the driving force of vehicle from car band,For from the brake force of car, preceding two
Individual constraint is the constraint from car driving force and brake force,、Respectively from car minimum and maximum driving force,、For from car minimum and maximum brake force.
The present invention optimizes from car energy allocation model and gear：
According to the difference of engine and Motor torque, mainly there are four kinds points with reference to vehicle SOC and engine speed situation
With pattern, it is respectively：
Pattern：；Electric-only mode；
Pattern：
：Engine working mode；
Pattern：
：Driving charge mode；
Pattern：
：Engine and motor cooperation pattern；
Wherein,It is the dump energy of motor vehicle driven by mixed power,It is the upper of motor vehicle driven by mixed power dump energy
Boundary,It is engine speed,,It is the bound of engine speed respectively；It is motor vehicle driven by mixed power
Demand torque,,It is the bound of engine optimum working zone respectively；
It is selected from the energy allocation model of carAnd gearFor controlled quentity controlled variable, from the battery of car
Dump energyFor quantity of state, the optimal speed trajectory gone out according to Optimization Solution, from the energy allocation model of car and
The problem of gear optimizes discretization Final finishing is into as follows：
（5）
Wherein, optimization aimBe from the fuel consumption in the car unit interval, specifically comprising two parts,
The respectively fuel consumption of engineAnd the electric quantity consumption of battery, the wherein fuel consumption and optimization of vehicle of engine
Velocity correlation；What first constraint considered is the constraint in optimization process from car engine rotating speed,It is turning from car engine
Speed,、It is the minimum value and maximum from car engine rotating speed respectively；Second be in optimization process from car
The constraint of engine output torque,、It is the minimum value and maximum from car engine output torque respectively；The
Three constraint be to the constraint in optimization process from car battery SOC,,It is the minimum of dump energy respectively
And maximum, it is finally to energy allocation modelAnd gear ratiosAsk for the constraint of scope.
The present invention proposes a kind of energy allocation strategy of the motor vehicle driven by mixed power with track optimizing function, that is, mixes dynamic
Power vehicle is by vehicle mounted guidance GPS/GIS systems, collection front truck and the velocity information from car；According to the information of collection, track rule
Module optimization is drawn from the travel speed track of car so that after optimization from vehicle speed track meet economy and comfortableness will
Ask；Then the speed trajectory based on optimization realizes energy allocation model (moment of torsion distribution) and the gear (speed to motor vehicle driven by mixed power
Than) optimization.So it is achieved that the comprehensive purpose for improving motor vehicle driven by mixed power fuel economy during cruise.With track
Optimize the energy optimizing method of function, motor vehicle driven by mixed power is optimal during being cruised in real time according to front truck velocity information optimization
Speed trajectory, and further realize according to the speed trajectory of optimization the energy allocation model (moment of torsion distribution) of motor vehicle driven by mixed power
With the optimization of gear (speed ratio), so as to improve the fuel economy of motor vehicle driven by mixed power to greatest extent.
The beneficial effects of the invention are as follows：
1st, the present invention provides a kind of optimization of the energy allocation strategy with trajectory planning function for motor vehicle driven by mixed power
Method, i.e. motor vehicle driven by mixed power gather the velocity information of front truck first, and come from car according to the optimization calculating of the velocity information of collection
Optimal speed trajectory, reduces velocity perturbation unnecessary during motor vehicle driven by mixed power cruises, improves motor vehicle driven by mixed power
Economy and comfortableness.
2nd, the present invention travels optimal velocity track according to what optimization was calculated from car, can with reference to the SOC of motor vehicle driven by mixed power
Optimization calculates the optimal energy allocation model and gear realized under cruise, so as to further improve the fuel oil of motor vehicle driven by mixed power
Economy.
3rd, the present invention can realize the optimization of track and the optimization of energy allocation model and gear simultaneously, carry on the whole
The high fuel economy of motor vehicle driven by mixed power.
Brief description of the drawings
Fig. 1 is structured flowchart of the invention；
Fig. 2 is the strategic process figure of the proposition of the present invention；
Fig. 3 is the front truck speed trajectory that gathers in trajectory planning；
Fig. 4 is the constraint bound to the optimization from vehicle speed in trajectory planning；
Fig. 5 is the track optimizing result of trajectory planning module；
Fig. 6 schemes for power contrast before and after the track optimizing of trajectory planning module；
Fig. 7 is the optimization process of energy allocation model and gear optimization module；
Fig. 8 is the engine working point after energy distribute module optimizes；
Fig. 9 is the motor operating point after energy distribute module optimizes.
Embodiment
The present invention is adopted the following technical scheme that：A kind of energy distribution side of the motor vehicle driven by mixed power with track optimizing function
Method, structured flowchart are as shown in figure 1, mainly include：Information gathering, track of vehicle optimization, motor vehicle driven by mixed power energy allocation model
Optimize three steps with gear.The signal flow graph of the present invention is as shown in Fig. 2 the information acquisition module of vehicle detects front first
With the presence or absence of vehicle, if front does not have vehicle, the speed cruise set from car according to driver, information acquisition module
Energy allocation model and gear optimization module will be passed to from vehicle speed, ensuing energy allocation model (moment of torsion distribution) is carried out
With gear (speed ratio) optimization；If front has vehicle, front vehicles are gathered first and from car from the information acquisition module of car
Velocity information, and velocity information is passed into trajectory planning module；Trajectory planning module is gathered according to information acquisition module
Advance data quality goes out optimal speed trajectory, and gives energy allocation strategy module by the speed trajectory that optimization is come；Energy distributes plan
Slightly the next velocity information of module combination optimization, the battery charge state (SOC) from car, are that optimization of vehicle makes optimal energy
The gear (speed ratio) of allocation model (moment of torsion distribution) and gearbox is measured, and by the signal feeding vehicle of optimization, so as to complete
Motor vehicle driven by mixed power is energy-optimised during whole cruise.
The present invention optimizes the step of travelling speed trajectory from car：
（1）Information gathering：The information acquisition module of motor vehicle driven by mixed power detects that front whether there is vehicle first, if preceding
Side is without vehicle, then the speed set from car according to driver completes cruise；If front has vehicle, from the letter of car
Breath acquisition module gathers front vehicles and the velocity information from car and the battery SOC situation from car first.Because vehicle is expert at
Inevitably there is fluctuation in speed during sailing, thus the speed of front truck that collects of motor vehicle driven by mixed power be used for it is straight
Connect energy distribution be it is unfavorable, as shown in Figure 3.Therefore the information acquisition module of the present invention gathers the velocity information of front truck first
With from car present speed information, the Optimization Solution for follow-up motor vehicle driven by mixed power cruising speed track；Gather hybrid electric vehicle
The SOC of battery, for subsequently from car energy allocation model and the Optimization Solution of gear.
（2）Track of vehicle optimizes：Front truck velocity information of the motor vehicle driven by mixed power to gatherWith from vehicle speed information
Based on, optimize from the travel speed track of car, consider first from car (vehicle to be optimized), by wheel driving forceWith wheel system
PowerAs control variable, it is designated as, speedAs state variable, it is designated as, can according to vehicle overall design
Using obtain the kinetics equation of vehicle as：
（1）
Wherein,For from car car weight,For from the resistance of car vehicle travel process, including air drag, rolling resistance
And grade resistance, there is following relation：
（2）
Wherein,For from the front face area of car,For from the coefficient of air resistance of car,To be hindered from the rolling of car
Force coefficient,For acceleration of gravity,For road grade；
Index from during car cruise track optimizingIt is made up of economy and comfortableness two parts：
（3）
Wherein,,For weight coefficient, first halfIt is
The constraint of economy, represents the power output in the vehicle unit time, latter halfIt is the constraint of comfortableness, table
Showing the speed trajectory of optimization will change gently.
Using the road information in the Prediction distance collected and terminal displacement as constraint, with the kinetic model of vehicle
Based on, the track optimizing problem based on front truck velocity information is described as in prediction time domain after discretization：
（4）
Wherein,,To optimize the driving force of vehicle from car band,For from the brake force of car, the first two
Constraint is the constraint from car driving force and brake force,、Respectively from car minimum and maximum driving force,、For from car minimum and maximum brake force.
3rd constraint be to the constraint from vehicle speed,It is the speed for the front truck that measurement is obtained,、It is excellent respectively
Obtain as shown in Figure 4 from vehicle speed constraint is calculated during change from the threshold coefficient up and down of vehicle speed track, optimization process.
It is to ensure the speed from car during cruise is (with car) to adding constraint from car optimal speed by the preceding vehicle speed of collection
Degree change is steady, does not have larger fluctuation, and cruise driving requirements are realized on the premise of security is met；Last constraint is
To the constraint during track optimizing from car dynamic property,、It is the upper lower threshold value of vehicle displacement in optimization process respectively
Coefficient,It is the displacement of front truck during every one-step optimization is calculated.Initial time collection from vehicle speedAnd displacement, as excellent
Change process medium velocity and the initial value of displacement, i.e.,。
So far, the track of car can just be come from Optimization Solution according to the speed trajectory of front truck, as shown in figure 5, can from figure
To find out, the speed trajectory after optimization is in the case where meeting the situation (in the range of the bound of speed) of security constraint, speed ratio
It is relatively steady, accelerate anxious situation about slowing down in the absence of anxious, Fig. 6 is power contrast's figure before and after optimization, and table 1 is power pair before and after optimization
The result of ratio, with reference to Fig. 5 ~ 6 as can be seen that the speed after optimization is more preferable than the fuel economy before optimization, fuel-economy
Property improves 4.23%.The speed trajectory that will optimize from car (vehicle to be optimized) gives energy allocation strategy module, for follow-up
The energy allocation model of motor vehicle driven by mixed power and the optimization of gear.
Power before and after the speed-optimization of table 1
。
The present invention optimizes from car (vehicle to be optimized) energy allocation model and gear：
Its essence of the energy management modes of hybrid vehicle is exactly the state according to vehicle in the present invention, distributes engine
With the output torque of motor.According to the difference of engine and Motor torque, the situation with reference to vehicle SOC and engine speed is main
There are four kinds of allocation models, be respectively：
Pattern：；Electric-only mode；
Pattern：
：Engine working mode；
Pattern：
：Driving charge mode；
Pattern：
：Engine and motor cooperation pattern；
Wherein,It is the dump energy of motor vehicle driven by mixed power,It is motor vehicle driven by mixed power dump energy
The upper bound,It is engine speed,,It is the bound of engine speed respectively；It is motor vehicle driven by mixed power
Demand torque,,It is the bound of engine optimum working zone respectively；Complete to the speed rail from car
After mark optimization, next to being optimized from the energy allocation model and gear of car (vehicle to be optimized).
It is selected from the energy allocation model of carAnd gearFor controlled quentity controlled variable, from the battery of car
Dump energyFor quantity of state, according to above-mentioned（2）The optimal speed trajectory that step Optimization Solution goes out, from the energy of car
Amount allocation model and gear the problem of optimize discretization Final finishing into as follows：
（5）
Wherein, optimization aimIt is, from the fuel consumption in the car unit interval, specifically to include two
Divide, respectively the fuel consumption of engineAnd the electric quantity consumption of battery, the wherein fuel consumption of engine and vehicle be excellent
Change velocity correlation；What first constraint considered is the constraint in optimization process from car engine rotating speed,It is from car engine
Rotating speed,、It is the minimum value and maximum from car engine rotating speed respectively；Second is in optimization process
From the constraint of car engine output torque,、It is the minimum value and maximum from car engine output torque respectively
Value；3rd constraint be to the constraint in optimization process from car battery SOC,,It is dump energy respectively
Minimum and maximum value, be finally to energy allocation modelAnd gear ratiosAsk for the constraint of scope.
So far, the energy allocation optimization problems of the 3rd step have described clear, and whole distribution optimization process is shown in Fig. 7, based on rule
The speed and battery dump energy information drawn, select specific Optimization Solution algorithm, can obtain the optimization of gear and pattern,
By the gear of optimization and the given vehicle of first value of mode sequences, next sampling instant repeats the above steps, so as to realize energy
The rolling optimization of allocation model and gear, Fig. 8-9 gives engine and motor real work after the optimization of energy distribute module
Point, it is seen that in Effec-tive Function area.Rolling optimization by three above step can be realized energy-optimised during cruising.
Claims (2)
1. a kind of energy distributing method of the motor vehicle driven by mixed power with track optimizing function, it is characterised in that：It optimizes from car
The step of travel speed track is：
（1）Information gathering：The velocity information of front truck is gathered and from car present speed information, hybrid power by information acquisition module
The SOC of Vehicular battery；
（2）Track of vehicle optimizes：With the front truck velocity information of collectionWith from vehicle speed informationBased on, optimize from car
Travel speed track, by wheel driving forceAnd wheel braking forceAs control variable, it is designated as, speedAs
State variable, is designated as, it is according to the kinetics equation that vehicle overall design can obtain vehicle：
（1）
Wherein,For from car car weight,For from the resistance of car vehicle travel process,
（2）
Wherein,For from the front face area of car,For from the coefficient of air resistance of car,For from the rolling resistance system of car
Number,For acceleration of gravity,For road grade；
Index from during car cruise track optimizingIt is made up of two parts：
（3）
Wherein, first halfIt is the constraint of economy, represents the output in the vehicle unit time
Power, latter halfIt is the constraint of comfortableness, representing the speed trajectory of optimization will change gently,For weight coefficient；
Track optimizing problem based on front truck velocity information is described as in prediction time domain after discretization：
（4）
Wherein,,To optimize the driving force of vehicle from car band,For from the brake force of car, the first two is constrained
It is the constraint from car driving force and brake force,、Respectively from car minimum and maximum driving force,、For
From car minimum and maximum brake force,、It is the threshold coefficient up and down from vehicle speed track in optimization process respectively,、
It is the threshold coefficient up and down of vehicle displacement in optimization process respectively,It is the displacement of front truck during every one-step optimization is calculated.
2. the energy distributing method of the motor vehicle driven by mixed power with track optimizing function according to claims 1, it is special
Levy and be：Optimize from car energy allocation model and gear：
According to the difference of engine and Motor torque, mainly there are four kinds of distribution moulds with reference to the situation of vehicle SOC and engine speed
Formula, be respectively：
Pattern：；Electric-only mode；
Pattern：
：Engine working mode；
Pattern：
：Driving charge mode；
Pattern：
：Engine and motor cooperation pattern；
Wherein,It is the dump energy of motor vehicle driven by mixed power,It is the upper bound of motor vehicle driven by mixed power dump energy,It is engine speed,,It is the bound of engine speed respectively；It is the need of motor vehicle driven by mixed power
Seek moment of torsion,,It is the bound of engine optimum working zone respectively；
It is selected from the energy allocation model of carAnd gearFor controlled quentity controlled variable, from the residue electricity of the battery of car
AmountFor quantity of state, the optimal speed trajectory gone out according to Optimization Solution, from the energy allocation model and gear of car
The problem of optimization, discretization Final finishing was into as follows：
（5）
Wherein, optimization aimIt is, from the fuel consumption in the car unit interval, specifically comprising two parts, to divide
Not Wei engine fuel consumptionAnd the electric quantity consumption of battery, the wherein fuel consumption of engine and optimization of vehicle speed
It is related；What first constraint considered is the constraint in optimization process from car engine rotating speed,It is the rotating speed from car engine,、It is the minimum value and maximum from car engine rotating speed respectively；Second is to being sent out in optimization process from car
The constraint of motivation output torque,、It is the minimum value and maximum from car engine output torque respectively；3rd
It is individual constraint be to the constraint in optimization process from car battery SOC,,Be respectively dump energy minimum and
Maximum, is finally to energy allocation modelAnd gear ratiosAsk for the constraint of scope.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610161698.4A CN105667501B (en) | 2016-03-22 | 2016-03-22 | The energy distributing method of motor vehicle driven by mixed power with track optimizing function |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610161698.4A CN105667501B (en) | 2016-03-22 | 2016-03-22 | The energy distributing method of motor vehicle driven by mixed power with track optimizing function |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105667501A CN105667501A (en) | 2016-06-15 |
| CN105667501B true CN105667501B (en) | 2017-10-20 |
Family
ID=56311224
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610161698.4A Active CN105667501B (en) | 2016-03-22 | 2016-03-22 | The energy distributing method of motor vehicle driven by mixed power with track optimizing function |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105667501B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107813816A (en) * | 2016-09-12 | 2018-03-20 | 法乐第(北京)网络科技有限公司 | Energy hole track optimizing equipment, hybrid vehicle for hybrid vehicle |
| CN107813814A (en) * | 2016-09-12 | 2018-03-20 | 法乐第(北京)网络科技有限公司 | Energy hole track optimizing method, hybrid vehicle for hybrid vehicle |
| CN110217221B (en) * | 2019-06-25 | 2021-02-19 | 四川阿尔特新能源汽车有限公司 | Cruise control method and device, vehicle control unit, vehicle and readable storage medium |
| CN112061122A (en) * | 2020-08-03 | 2020-12-11 | 北京汽车股份有限公司 | Cruise control method and device for hybrid vehicle |
| CN112606703B (en) * | 2020-12-02 | 2022-07-29 | 武汉路特斯汽车有限公司 | Vehicle acceleration control method, device, equipment and storage medium |
| CN113459829B (en) * | 2021-07-29 | 2023-02-21 | 南昌智能新能源汽车研究院 | Intelligent energy management method for double-motor electric vehicle based on road condition prediction |
| CN114506311B (en) * | 2022-02-22 | 2023-06-20 | 燕山大学 | Variable time domain prediction energy management method and device, automobile and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102729991A (en) * | 2012-06-20 | 2012-10-17 | 浙江大学 | Hybrid bus energy distribution method |
| CN104175980A (en) * | 2014-08-29 | 2014-12-03 | 深圳先进技术研究院 | Hybrid electric vehicle energy source matching method and system |
| CN104627168A (en) * | 2013-11-06 | 2015-05-20 | 山东政法学院 | Plug-in hybrid power bus dynamic logic threshold energy management method based on road condition model |
| CN105035090A (en) * | 2015-06-06 | 2015-11-11 | 吉林大学 | Trace prediction control method for autonomously driven vehicle based on traffic signal lamp |
| CN105216782A (en) * | 2015-09-30 | 2016-01-06 | 上海凌翼动力科技有限公司 | Based on the plug-in hybrid-power automobile energy management method of energy predicting |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8290637B2 (en) * | 2008-06-16 | 2012-10-16 | GM Global Technology Operations LLC | Vehicle control using stochastic information |
| US20120010767A1 (en) * | 2010-06-10 | 2012-01-12 | Massachusetts Institute Of Technology | Hybrid electric vehicle and method of control using path forecasting |
| US10377379B2 (en) * | 2011-10-29 | 2019-08-13 | Robotic Research, Llc | Method and system for utilizing the energy storage provided by a vehicle's mass in the form of potential and kinetic energy to optimize fuel consumption |
-
2016
- 2016-03-22 CN CN201610161698.4A patent/CN105667501B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102729991A (en) * | 2012-06-20 | 2012-10-17 | 浙江大学 | Hybrid bus energy distribution method |
| CN104627168A (en) * | 2013-11-06 | 2015-05-20 | 山东政法学院 | Plug-in hybrid power bus dynamic logic threshold energy management method based on road condition model |
| CN104175980A (en) * | 2014-08-29 | 2014-12-03 | 深圳先进技术研究院 | Hybrid electric vehicle energy source matching method and system |
| CN105035090A (en) * | 2015-06-06 | 2015-11-11 | 吉林大学 | Trace prediction control method for autonomously driven vehicle based on traffic signal lamp |
| CN105216782A (en) * | 2015-09-30 | 2016-01-06 | 上海凌翼动力科技有限公司 | Based on the plug-in hybrid-power automobile energy management method of energy predicting |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105667501A (en) | 2016-06-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105667501B (en) | The energy distributing method of motor vehicle driven by mixed power with track optimizing function | |
| CN107351840B (en) | A kind of vehicle energy saving path and economic speed dynamic programming method based on V2I | |
| CN106064614B (en) | Vehicle energy management apparatus | |
| CN101357616B (en) | Intelligent environment-friendly type vehicle structure | |
| CN107628029B (en) | A kind of energy-saving stability motion control method of net connection automobile queue | |
| CN109823188A (en) | The mixed gentle speed system of dynamic commercial vehicle regenerative braking | |
| CN108973979A (en) | The mixed predictive power control system scheme of motor-car | |
| CN107097791A (en) | Four-wheel driven electric vehicle speed-optimization control method based on road grade and curvature | |
| CN105857312B (en) | A kind of highway heavy truck speed travels optimization method | |
| CN109360409A (en) | A kind of intelligent network connection hybrid vehicle formation control method based on driving style | |
| CN102673563A (en) | energy-saving control method and system | |
| CN106427987A (en) | System and method for controlling hybrid vehicle | |
| CN109291925B (en) | Energy-saving intelligent network-connection hybrid electric vehicle following control method | |
| CN104080683A (en) | Deceleration factor estimation device and drive assistance device | |
| CN105691393A (en) | Intelligent vehicle cruise control method and device based on real-time road condition | |
| CN108058704A (en) | Based on vehicle to the PREDICTIVE CONTROL of the power drive system of vehicle communication | |
| CN104249736A (en) | Hybrid electric vehicle energy-saving predictive control method based on platoons | |
| CN112660130A (en) | New energy automobile sliding control system and method based on intelligent networking information and new energy automobile | |
| CN108335506B (en) | Method and system for dynamically guiding green light phase vehicle speed of multi-signal intersection of internet vehicles | |
| Wang et al. | Research on speed optimization strategy of hybrid electric vehicle queue based on particle swarm optimization | |
| Lopes et al. | Energy savings from an Eco-Cooperative Adaptive Cruise Control: a BEV platoon investigation | |
| CN111532264A (en) | Intelligent internet automobile cruising speed optimization method for variable-gradient and variable-speed-limit traffic scene | |
| CN103786733A (en) | Environment-friendly driving behavior prompting method for automatic transmission automobile | |
| CN106997675A (en) | Target vehicle speed Forecasting Methodology based on Dynamic Programming | |
| Li et al. | Methods and applications of energy saving control of in-wheel motor drive system in electric vehicles: A comprehensive review |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |