CN106004864A - Vehicle traveling control method and system - Google Patents
Vehicle traveling control method and system Download PDFInfo
- Publication number
- CN106004864A CN106004864A CN201610368827.7A CN201610368827A CN106004864A CN 106004864 A CN106004864 A CN 106004864A CN 201610368827 A CN201610368827 A CN 201610368827A CN 106004864 A CN106004864 A CN 106004864A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- presently
- operating mode
- information
- mode
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 22
- 239000000295 fuel oil Substances 0.000 claims description 15
- 230000000903 blocking effect Effects 0.000 claims description 6
- 239000000446 fuel Substances 0.000 abstract description 9
- 238000007726 management method Methods 0.000 description 28
- 230000007613 environmental effect Effects 0.000 description 3
- 230000004927 fusion Effects 0.000 description 3
- 230000011218 segmentation Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000011217 control strategy Methods 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
- 239000003921 oil Substances 0.000 description 2
- 230000001052 transient effect Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003284 homeostatic effect Effects 0.000 description 1
- 239000010762 marine fuel oil Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000003716 rejuvenation Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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
-
- 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
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
- B60W10/06—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of combustion engines
-
- 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
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
- B60W10/08—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of electric propulsion units, e.g. motors or generators
-
- 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
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/24—Conjoint control of vehicle sub-units of different type or different function including control of energy storage means
- B60W10/26—Conjoint control of vehicle sub-units of different type or different function including control of energy storage means for electrical energy, e.g. batteries or capacitors
-
- 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
- B60W30/18—Propelling the vehicle
-
- 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
- B60W2552/00—Input parameters relating to infrastructure
-
- 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
-
- 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
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
- B60W2556/50—External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/62—Hybrid vehicles
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Automation & Control Theory (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
- Control Of Vehicle Engines Or Engines For Specific Uses (AREA)
- Control Of Transmission Device (AREA)
- Hybrid Electric Vehicles (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention provides a vehicle traveling control method and system. The method includes the steps that firstly, the current vehicle position, pedestrian information, traffic light information and traffic sign information of the current vehicle position and the average vehicle speed and the idling state of a vehicle are obtained; secondly, according to the current vehicle position and the pedestrian information, the traffic light information and the traffic sign information of the current vehicle position, the current road working condition of the vehicle is judged; thirdly, according to the average vehicle speed and the idling state of the vehicle, the current road sub working condition of the vehicle is further judged in the current road working condition of the vehicle; and fourthly, a vehicle traveling mode is determined according to the current road sub working condition of the vehicle, fuel is controlled through an EMS, and the energy of a battery is controlled through a BMS. By the adoption of the method and system, energy management and fuel economy of the vehicle can be effectively improved.
Description
Technical field
Automobile technical field of the present invention, particularly relates to a kind of vehicle travel control method and system.
Background technology
In the exploitation of automobile especially motor vehicle driven by mixed power, the analysis of vehicle driving-cycle is the basis of design.Conventional engine management strategy is only in accordance with the parameter in vehicle self information state, such as average speed, dead time ratio etc. carries out the road condition judged residing for vehicle, fail to obtain real traffic, the most objective, when actual and that system uses operating mode deviation is bigger, the waste of vehicle energy and fuel oil can be caused.Current most of energy management method is the homeostatic control strategy being based only on energy instantaneous optimization, and this strategy is responsible for instantaneous, does not considers that the reply of real road operating mode and working conditions change is not enough.Part Methods considers road condition, but judges only in accordance with vehicle self information, there is larger difference with real condition of road surface.
Summary of the invention
The technical problem to be solved is, it is provided that a kind of energy management that can be effectively improved vehicle and the vehicle travel control method of fuel economy and system.
In order to solve above-mentioned technical problem, the present invention provides a kind of vehicle travel control method, including:
Step S1, obtains vehicle respectively and is presently in position, and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, and the average speed of vehicle and idling mode；
Step S2, is presently in position according to vehicle and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, it is judged that the road condition that vehicle is presently in；
Step S3, according to average speed and the idling mode of vehicle, determines whether the road way operating mode that vehicle is presently in the road condition that vehicle is presently in；
Step S4, determines car travel mode according to the road way operating mode that vehicle is presently in, and is controlled fuel oil by engine management system EMS, battery management system BMS be controlled the energy content of battery.
Wherein, in described step S1, obtain vehicle by onboard navigation system and be presently in position, preposition radar and front-facing camera by vehicle obtain vehicle and are presently in the pedestrian information of position, traffic lights information and traffic mark information, obtain average speed by vehicle electric constancy system ESP, obtain vehicle idling state by engine management system EMS.
Wherein, described step S2 specifically includes:
The vehicle of acquisition is presently in pedestrian's quantity of position, traffic lights quantity, speed limit mark speed compare with respective judgment threshold, it is judged that the road condition that vehicle is presently in is any in city operating mode, suburb operating mode and high-speed working condition.
Wherein, described step S3 specifically includes:
Vehicle average speed and the dead time ratio of acquisition are compared with respective judgment threshold, in the city operating mode that vehicle is presently in, determine whether that the road way operating mode that vehicle is presently in is bustling operating mode of blocking up, or Xincheng District operating mode, or the quick operating mode in city.
Wherein, described step S3 specifically includes:
Vehicle average speed and the dead time ratio of acquisition are compared with respective judgment threshold, in the suburb operating mode that vehicle is presently in, determines whether that the road way operating mode that vehicle is presently in is rural area operating mode, or hill path operating mode, or save national highway operating mode.
Wherein, described step S3 specifically includes:
Vehicle average speed and the dead time ratio of acquisition are compared with respective judgment threshold, in the high-speed working condition that vehicle is presently in, determines whether that the road way operating mode that vehicle is presently in is the smooth and easy operating mode of high speed or operating mode of blocking up at a high speed.
Wherein, described vehicle travel control method further comprises the steps of:
Obtained driving model and the gear information of driver by gearbox control TCU, and the car travel mode being presently in vehicle accordingly is corrected.
The present invention also provides for a kind of vehicle travel control system, including:
Onboard navigation system, is used for providing vehicle to be presently in positional information；
Preposition radar and front-facing camera, for providing vehicle to be presently in the pedestrian information of position, traffic lights information and traffic mark information；
Vehicle electric constancy system ESP, for providing vehicle being presently in the average speed of position；
Engine management system EMS, for providing vehicle being presently in the idling mode of position；
Master controller, for being presently in position according to vehicle and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, judge the road condition that vehicle is presently in, and according to the average speed of vehicle and idling mode, the road way operating mode that vehicle is presently in is determined whether in the road condition that vehicle is presently in, it is additionally operable to the road way operating mode according to vehicle is presently in and determines car travel mode, controlling engine management system EMS to be controlled fuel oil, the energy content of battery is controlled by battery management system BMS；
Described onboard navigation system, preposition radar are all connected by CAN with front-facing camera, vehicle electric constancy system ESP, engine management system EMS and master controller.
Wherein, described vehicle travel control system also includes:
Gearbox control TCU, for providing driving model and the gear information of driver, the car travel mode that vehicle is presently in by described master controller by described information is corrected.
Wherein, described vehicle travel control system also includes:
Switch, is used for opening and closing vehicle travel control system；
Car body controller BCM, for sending switching signal to CAN.
Having the beneficial effects that of the embodiment of the present invention: combine the real road environment acquired in current vehicle position and preposition radar, front-facing camera and (include vehicle, pedestrian, stop-go mark etc.) for the identification of road condition, and carry out road condition being corrected and reaffirming in conjunction with the average speed of vehicle and dead time ratio etc., judge real condition of road surface, so that it is determined that the car travel mode being suitable for, energy management and the fuel economy of vehicle can be effectively improved.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in describing below is only some embodiments of the present invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of one one kinds of vehicle travel control methods of the embodiment of the present invention.
Fig. 2 is the idiographic flow schematic diagram of one one kinds of vehicle travel control methods of the embodiment of the present invention.
Fig. 3 is the structural representation of 21 kinds of vehicle travel control systems of the embodiment of the present invention.
Detailed description of the invention
The explanation of following embodiment is with reference to accompanying drawing, can be in order to the specific embodiment implemented in order to the example present invention.
Refer to shown in Fig. 1, the embodiment of the present invention one provides a kind of vehicle travel control method, including:
Step S1, obtains vehicle respectively and is presently in position, and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, and the average speed of vehicle and idling mode；
Step S2, is presently in position according to vehicle and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, it is judged that the road condition that vehicle is presently in；
Step S3, according to average speed and the idling mode of vehicle, determines whether the road way operating mode that vehicle is presently in the road condition that vehicle is presently in；
Step S4, determines car travel mode according to the road way operating mode that vehicle is presently in, and is controlled fuel oil by engine management system EMS, battery management system BMS be controlled the energy content of battery.
Specifically, incorporated by reference to shown in Fig. 2, in step S1, obtaining vehicle by onboard navigation system and be presently in position, such as vehicle is presently in so-and-so road, so-and-so city of so-and-so province；Preposition radar and front-facing camera by vehicle obtain vehicle and are presently in the pedestrian information of position, traffic lights information and traffic mark information；Obtain average speed by vehicle electric constancy system ESP, obtain vehicle idling state by engine management system EMS.
Step S2 completes the first time division in the embodiment of the present invention to road condition, i.e. it is presently in position according to vehicle and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, it is judged that the road condition that vehicle is presently in is city operating mode, suburb operating mode or high-speed working condition.In the present embodiment, it is three classes by road condition: city operating mode, suburb operating mode and high-speed working condition.Specifically, preposition radar and front-facing camera can obtain the environmental information of vehicle periphery, and the information obtained is carried out fusion treatment: the vehicle obtained is presently in the pedestrian information of position, traffic lights information and traffic mark information and is identified and judges, and make the differentiation of road type.Such as, by the most for pedestrian's quantity, traffic lights quantity is the most, speed is the lowest is judged as city operating mode for speed limit mark；By more for pedestrian's quantity, traffic lights quantity is more, speed is relatively low is judged as suburb operating mode for speed limit mark；By few for pedestrian's quantity, traffic lights quantity is few, speed limit mark speed height be judged as high-speed working condition.It should be noted that, judge that pedestrian's quantity, traffic lights quantity, speed limit mark speed height is all individually present a decision threshold, such as the vehicle of acquisition is presently in pedestrian's quantity of position with threshold ratio relatively, it is judged that it belongs to pedestrian's quantity, and very to still fall within pedestrian's quantity more more.The result that the decision threshold of pedestrian's quantity, traffic lights quantity, speed limit mark speed is added up according to the traffic behavior in current national and area is specifically defined.
The present embodiment, on the basis of the vehicle that onboard navigation system obtains is presently in position, adds the acquisition of the transport information that vehicle is presently in position.In general, onboard navigation system is obtained in that the concrete road residing for vehicle (even unknown road also has sign) by GPS module, but being usually unable to directly display this road and belong to urban road or rural road, rule of thumb or general knowledge judges to generally require driver.So selecting on driving mode based on condition of road surface, the aforementioned recognition method to road type cannot accomplish intellectuality and automatization.In addition, the map rejuvenation of onboard navigation system typically can be later than real road and update, in this case, the condition of road surface obtained by onboard navigation system the most not always reflects real condition of road surface, therefore, the present embodiment obtains vehicle by preposition radar and front-facing camera and is presently in the pedestrian information of position, traffic lights information and traffic mark information, it is possible to obtain present road environmental aspect truly, in order to the follow-up selection to driving mode is more accurate.
In prior art, the identification of road condition judges the average speed typically merely by vehicle and idling mode, and the present embodiment step S3 is expanded as to city operating mode, and suburb operating mode and high-speed working condition segment further.Vehicle average speed is calculated according to the GES that vehicle electric constancy system ESP provides, dead time ratio (i.e. dead time accounts for the ratio of total time) is calculated according to the vehicle idling status signal that engine management system EMS provides, then according to average speed and dead time ratio, respectively to city operating mode, suburb operating mode and high-speed working condition segment further, referring specifically to following table:
Similarly, for the most each own judgment threshold of judgement of average speed and dead time ratio, its concrete numerical value is specifically defined according to the result of the traffic behavior statistics in current national and area.Such as, under the operating mode of city, assume that 80% is the threshold value of dead time ratio " high ", 20 kilometers/hour is the threshold value of average speed " low ", then when the vehicle calculated current dead time ratio, higher than 80% and average speed is less than 20 kilometers/hour, then the road way operating mode being presently in by vehicle is judged to " bustling operating mode of blocking up ".And for example, assume 20% and 80% be respectively dead time ratio " in " threshold value, 20 kilometers/hour and 50 kilometers/hour be respectively average speed " in " threshold value, then it is between 20% ~ 80% when the vehicle calculated current dead time ratio, and average speed is less than 50 kilometers/hour but higher than 20 kilometers/hour, then the road way operating mode being presently in by vehicle is judged to " Xincheng District operating mode ".
After obtaining real roads situation residing for vehicle by above-mentioned steps, then select corresponding driving mode accordingly, can preferably vehicle energy be managed, it is thus achieved that more preferably fuel economy.
Corresponding different road way operating mode, there is corresponding driving mode: the bustling operating mode driving mode that blocks up, Xincheng District operating mode driving mode, city quick operating mode driving mode, rural area operating mode driving mode, hill path operating mode driving mode, save national highway operating mode driving mode, high speed smooth and easy operating mode driving mode, block up operating mode driving mode at a high speed.
Step S4 determines corresponding car travel mode according to road way operating mode, each car travel mode correspondence one energy management strategies, is controlled fuel oil by engine management system EMS the most respectively, battery management system BMS is controlled the energy content of battery, specifically, following table is referred to:
Wherein, in table, " consumption of transient state fuel oil " is currently to drive, in order to meet, the real-time adjustment carried out, " electrokinetic cell charge and discharge control " is the requirement for storing energy under comprehensive current working, primarily to improve electrokinetic cell energy storage, avoid enough energy being had to discharge during Low oil Fuel, control SOC and the electric current of electrokinetic cell simultaneously, prevent unnecessary consumption.
For example, for the operating mode of city, fuel oil consumption should be used as few as possible, reduce the pollution for city.Correspond respectively to different segmentation operating modes, electrokinetic cell release electric energy number, be used for meeting the traveling demand that vehicle is different, the most namely electrokinetic cell stores the height of energy.Such as, for the bustling operating mode driving mode that blocks up, its energy hole mode is: engine management system EMS controls fuel oil low consumption, and battery management system BMS controls electrokinetic cell and discharges on a small quantity, store high homenergic, to tackle bustling operating mode of blocking up, it is to avoid cross multiple fuel and electric quantity consumption, and reduce pollution.
For another example, under the operating mode of suburb (especially segmentation operating mode rural area operating mode), generally poor than urban road due to condition of road surface, in order to adapt to hollow, unequal severe road, need raising fuel oil consumption to provide higher dynamic property, meet the demand driven.The energy that now electrokinetic cell stores is to prepare more electric energy to meet severe road conditions condition too.
It should be noted that above-mentioned energy control strategy is to control in real time, the height that alleged high and low, medium fuel oil consumption stores energy with electrokinetic cell is also relative, floats in respective scope.For Xincheng District operating mode driving mode, its energy hole mode is:
For the individual character drive demand of driver, such as, occasionally wanting to, outside vehicle performs above-mentioned energy hole mode, can independently determine and control the actual travel of vehicle, the present embodiment can also be met.Specifically, comprise the following steps:
Obtained driving model and the gear information of driver by gearbox control TCU, and the car travel mode being presently in vehicle accordingly is corrected.
For example, under the operating mode driving mode of above-mentioned Xincheng District, transient state fuel oil consumption is low burn oil consumption, if but now driver expectation give it the gun, then Xincheng District operating mode driving mode is corrected, strengthen fuel oil consumption to promote speed of operation.Certainly, if driver occurs that more fierce driving, the such as situation that suddenly acceleration, anxious deceleration etc. are inconsistent with residing gear occur, then the practical operation also according to gear and driver judges the most accordingly and adjusts.
By described above, the real road environment that embodiment of the present invention vehicle travel control method combines acquired in current vehicle position and preposition radar, front-facing camera (includes vehicle, pedestrian, stop-go mark etc.) for the identification of road condition, and carry out road condition being corrected and reaffirming in conjunction with the average speed of vehicle and dead time ratio etc., judge real condition of road surface, so that it is determined that the car travel mode being suitable for, energy management and the fuel economy of vehicle can be effectively improved.Further, in addition to the operating mode of city, the present embodiment also add suburb operating mode, high-speed working condition and the judgement of sub-operating mode (segmentation operating mode), is conducive to accurately determining the driving mode that vehicle is suitable for.
Based on the embodiment of the present invention one, the embodiment of the present invention two provides a kind of vehicle travel control system, refer to shown in Fig. 3, including:
Onboard navigation system, is used for providing vehicle to be presently in positional information；
Preposition radar and front-facing camera, for providing vehicle to be presently in the pedestrian information of position, traffic lights information and traffic mark information；
Vehicle electric constancy system ESP, for providing vehicle being presently in the average speed of position；
Engine management system EMS, for providing vehicle being presently in the idling mode of position；
Master controller, for being presently in position according to vehicle and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, judge the road condition that vehicle is presently in, and according to the average speed of vehicle and idling mode, the road way operating mode that vehicle is presently in is determined whether in the road condition that vehicle is presently in, it is additionally operable to the road way operating mode according to vehicle is presently in and determines car travel mode, and control engine management system EMS fuel oil is controlled, control battery management system BMS and the energy content of battery is controlled；
Onboard navigation system, preposition radar are all connected by CAN with front-facing camera, vehicle electric constancy system ESP, engine management system EMS and master controller.
Specifically, vehicle electric constancy system ESP is mainly used in providing GES, calculates average speed by this signal and arranges max. speed.Engine management system EMS is additionally operable to accept the order of master controller, is controlled engine air throttle and moment of torsion etc., arrives the purpose improving fuel economy.Battery management system BMS also provides for the parameters such as battery SOC, the power of battery, and receives the order of master controller, performs the release of battery electric quantity.Preposition radar and front-facing camera are for obtaining the environmental information of vehicle periphery, and the information obtained is carried out fusion treatment, improve the utilization rate of data, pedestrian, traffic lights and road traffic mark can be identified by both data fusion, and make the differentiation of road type, also can whether run-off-road carries out identification to vehicle.Master controller distinguishes different roadway characteristics by internal control algorithm, it is judged that residing for vehicle is really road condition, selects the car travel mode being suitable for, and sends order control EMS and BMS and carries out electricity and the management of fuel oil and control respectively.
Additionally, the present embodiment also includes gearbox control TCU, for providing driving model and the gear information of driver, the car travel mode that vehicle is presently in by master controller by these information is corrected.
The present embodiment also includes: switch, is used for opening and closing vehicle travel control system；Car body controller BCM, for sending switching signal to CAN.
Refer to the explanation of the embodiment of the present invention one about the operation principle of the present embodiment and the beneficial effect that brought, here is omitted.
The above disclosed present pre-ferred embodiments that is only, certainly can not limit the interest field of the present invention, the equivalent variations therefore made according to the claims in the present invention with this, still belong to the scope that the present invention is contained.
Claims (10)
1. a vehicle travel control method, it is characterised in that including:
Step S1, obtains vehicle respectively and is presently in position, and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, and the average speed of vehicle and idling mode；
Step S2, is presently in position according to vehicle and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, it is judged that the road condition that vehicle is presently in；
Step S3, according to average speed and the idling mode of vehicle, determines whether the road way operating mode that vehicle is presently in the road condition that vehicle is presently in；
Step S4, determines car travel mode according to the road way operating mode that vehicle is presently in, and is controlled fuel oil by engine management system EMS, battery management system BMS be controlled the energy content of battery.
Vehicle travel control method the most according to claim 1, it is characterized in that, in described step S1, obtain vehicle by onboard navigation system and be presently in position, preposition radar and front-facing camera by vehicle obtain vehicle and are presently in the pedestrian information of position, traffic lights information and traffic mark information, obtain average speed by vehicle electric constancy system ESP, obtain vehicle idling state by engine management system EMS.
Vehicle travel control method the most according to claim 1, it is characterised in that described step S2 specifically includes:
The vehicle of acquisition is presently in pedestrian's quantity of position, traffic lights quantity, speed limit mark speed compare with respective judgment threshold, it is judged that the road condition that vehicle is presently in is any in city operating mode, suburb operating mode and high-speed working condition.
Vehicle travel control method the most according to claim 3, it is characterised in that described step S3 specifically includes:
Vehicle average speed and the dead time ratio of acquisition are compared with respective judgment threshold, in the city operating mode that vehicle is presently in, determine whether that the road way operating mode that vehicle is presently in is bustling operating mode of blocking up, or Xincheng District operating mode, or the quick operating mode in city.
Vehicle travel control method the most according to claim 3, it is characterised in that described step S3 specifically includes:
Vehicle average speed and the dead time ratio of acquisition are compared with respective judgment threshold, in the suburb operating mode that vehicle is presently in, determines whether that the road way operating mode that vehicle is presently in is rural area operating mode, or hill path operating mode, or save national highway operating mode.
Vehicle travel control method the most according to claim 3, it is characterised in that described step S3 specifically includes:
Vehicle average speed and the dead time ratio of acquisition are compared with respective judgment threshold, in the high-speed working condition that vehicle is presently in, determines whether that the road way operating mode that vehicle is presently in is the smooth and easy operating mode of high speed or operating mode of blocking up at a high speed.
7. according to the vehicle travel control method described in any one of claim 1-6, it is characterised in that further comprise the steps of:
Obtained driving model and the gear information of driver by gearbox control TCU, and the car travel mode being presently in vehicle accordingly is corrected.
8. a vehicle travel control system, it is characterised in that including:
Onboard navigation system, is used for providing vehicle to be presently in positional information；
Preposition radar and front-facing camera, for providing vehicle to be presently in the pedestrian information of position, traffic lights information and traffic mark information；
Vehicle electric constancy system ESP, for providing vehicle being presently in the average speed of position；
Engine management system EMS, for providing vehicle being presently in the idling mode of position；
Master controller, for being presently in position according to vehicle and vehicle is presently in the pedestrian information of position, traffic lights information and traffic mark information, judge the road condition that vehicle is presently in, and according to the average speed of vehicle and idling mode, the road way operating mode that vehicle is presently in is determined whether in the road condition that vehicle is presently in, it is additionally operable to the road way operating mode according to vehicle is presently in and determines car travel mode, controlling engine management system EMS to be controlled fuel oil, the energy content of battery is controlled by battery management system BMS；
Described onboard navigation system, preposition radar are all connected by CAN with front-facing camera, vehicle electric constancy system ESP, engine management system EMS and master controller.
Vehicle travel control system the most according to claim 8, it is characterised in that also include:
Gearbox control TCU, for providing driving model and the gear information of driver, the car travel mode that vehicle is presently in by described master controller by described information is corrected.
Vehicle travel control system the most according to claim 8, it is characterised in that also include:
Switch, is used for opening and closing vehicle travel control system；
Car body controller BCM, for sending switching signal to CAN.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610368827.7A CN106004864B (en) | 2016-05-30 | 2016-05-30 | A kind of vehicle travel control method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610368827.7A CN106004864B (en) | 2016-05-30 | 2016-05-30 | A kind of vehicle travel control method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106004864A true CN106004864A (en) | 2016-10-12 |
| CN106004864B CN106004864B (en) | 2018-09-28 |
Family
ID=57091486
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610368827.7A Active CN106004864B (en) | 2016-05-30 | 2016-05-30 | A kind of vehicle travel control method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106004864B (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107264510A (en) * | 2017-06-16 | 2017-10-20 | 湖南大学 | A kind of vehicle power control system and method based on traffic congestion situation |
| CN107582339A (en) * | 2017-08-23 | 2018-01-16 | 广东小天才科技有限公司 | Blind guiding information determining method and device, blind guiding terminal and storage medium |
| CN108116241A (en) * | 2016-11-28 | 2018-06-05 | 上海汽车集团股份有限公司 | Adjusting method, device and the automobile of hybrid electric vehicle electric quantity equalization point |
| CN108413025A (en) * | 2018-03-01 | 2018-08-17 | 上海质慧新能源科技有限公司 | A kind of gearbox control system and its control method of self-adapting automatic gear shift |
| CN108644374A (en) * | 2018-05-02 | 2018-10-12 | 天津职业技术师范大学 | Transmission control method and device |
| CN109345853A (en) * | 2018-08-30 | 2019-02-15 | 浙江工业大学 | A kind of unmanned vehicle safe driving optimization method based on GIS |
| CN109927709A (en) * | 2017-12-15 | 2019-06-25 | 郑州宇通客车股份有限公司 | A kind of route or travel by vehicle working condition determining method, energy management method and system |
| CN110126845A (en) * | 2019-05-22 | 2019-08-16 | 浙江吉利控股集团有限公司 | A kind of control method for vehicle and control system and vehicle based on driving cycle |
| CN110539745A (en) * | 2018-05-28 | 2019-12-06 | 广州汽车集团股份有限公司 | mode selection control method and device for electromechanical coupling gearbox |
| CN110745146A (en) * | 2019-09-19 | 2020-02-04 | 武汉格罗夫氢能汽车有限公司 | Automobile front lamp system with recognition function |
| CN110908366A (en) * | 2018-08-28 | 2020-03-24 | 大陆泰密克汽车***（上海）有限公司 | Automatic driving method and device |
| CN113071515A (en) * | 2021-03-31 | 2021-07-06 | 广州文远知行科技有限公司 | Movable carrier control method, device, movable carrier and storage medium |
| CN113370792A (en) * | 2021-07-06 | 2021-09-10 | 恒大新能源汽车投资控股集团有限公司 | Electric vehicle energy recovery grade setting method, storage medium and electronic equipment |
| CN115188205A (en) * | 2022-07-04 | 2022-10-14 | 武汉理工大学 | Automobile driving condition correction method based on road information |
| WO2023130917A1 (en) * | 2022-01-04 | 2023-07-13 | 比亚迪股份有限公司 | Hybrid vehicle, power generation method and apparatus thereof, and vehicle controller |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101633357A (en) * | 2009-08-26 | 2010-01-27 | 湖南南车时代电动汽车股份有限公司 | Method for complete vehicle control of tandem type hybrid bus based on working condition |
| CN102336193A (en) * | 2011-08-26 | 2012-02-01 | 湖南南车时代电动汽车股份有限公司 | Method for controlling hybrid power passenger bus based on road spectrum information |
| US20130311041A1 (en) * | 2012-05-18 | 2013-11-21 | International Business Machines Corporation | In-vehicle drive pattern optimization for reduced road wear |
| CN103786726A (en) * | 2012-11-05 | 2014-05-14 | 财团法人车辆研究测试中心 | Intuitive energy-saving driving assisting method and intuitive energy-saving driving assisting system |
| CN105599758A (en) * | 2016-03-04 | 2016-05-25 | 智车优行科技（北京）有限公司 | Vehicle control method and device and vehicle |
-
2016
- 2016-05-30 CN CN201610368827.7A patent/CN106004864B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101633357A (en) * | 2009-08-26 | 2010-01-27 | 湖南南车时代电动汽车股份有限公司 | Method for complete vehicle control of tandem type hybrid bus based on working condition |
| CN102336193A (en) * | 2011-08-26 | 2012-02-01 | 湖南南车时代电动汽车股份有限公司 | Method for controlling hybrid power passenger bus based on road spectrum information |
| US20130311041A1 (en) * | 2012-05-18 | 2013-11-21 | International Business Machines Corporation | In-vehicle drive pattern optimization for reduced road wear |
| CN103786726A (en) * | 2012-11-05 | 2014-05-14 | 财团法人车辆研究测试中心 | Intuitive energy-saving driving assisting method and intuitive energy-saving driving assisting system |
| CN105599758A (en) * | 2016-03-04 | 2016-05-25 | 智车优行科技（北京）有限公司 | Vehicle control method and device and vehicle |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108116241A (en) * | 2016-11-28 | 2018-06-05 | 上海汽车集团股份有限公司 | Adjusting method, device and the automobile of hybrid electric vehicle electric quantity equalization point |
| CN108116241B (en) * | 2016-11-28 | 2020-09-29 | 上海汽车集团股份有限公司 | Method and device for adjusting electric quantity balance point of hybrid electric vehicle and vehicle |
| CN107264510A (en) * | 2017-06-16 | 2017-10-20 | 湖南大学 | A kind of vehicle power control system and method based on traffic congestion situation |
| CN107582339A (en) * | 2017-08-23 | 2018-01-16 | 广东小天才科技有限公司 | Blind guiding information determining method and device, blind guiding terminal and storage medium |
| CN109927709A (en) * | 2017-12-15 | 2019-06-25 | 郑州宇通客车股份有限公司 | A kind of route or travel by vehicle working condition determining method, energy management method and system |
| CN108413025A (en) * | 2018-03-01 | 2018-08-17 | 上海质慧新能源科技有限公司 | A kind of gearbox control system and its control method of self-adapting automatic gear shift |
| CN108644374A (en) * | 2018-05-02 | 2018-10-12 | 天津职业技术师范大学 | Transmission control method and device |
| CN110539745A (en) * | 2018-05-28 | 2019-12-06 | 广州汽车集团股份有限公司 | mode selection control method and device for electromechanical coupling gearbox |
| CN110908366A (en) * | 2018-08-28 | 2020-03-24 | 大陆泰密克汽车***（上海）有限公司 | Automatic driving method and device |
| CN110908366B (en) * | 2018-08-28 | 2023-08-25 | 大陆智行科技(上海)有限公司 | Automatic driving method and device |
| CN109345853A (en) * | 2018-08-30 | 2019-02-15 | 浙江工业大学 | A kind of unmanned vehicle safe driving optimization method based on GIS |
| CN110126845A (en) * | 2019-05-22 | 2019-08-16 | 浙江吉利控股集团有限公司 | A kind of control method for vehicle and control system and vehicle based on driving cycle |
| CN110745146A (en) * | 2019-09-19 | 2020-02-04 | 武汉格罗夫氢能汽车有限公司 | Automobile front lamp system with recognition function |
| CN113071515A (en) * | 2021-03-31 | 2021-07-06 | 广州文远知行科技有限公司 | Movable carrier control method, device, movable carrier and storage medium |
| CN113071515B (en) * | 2021-03-31 | 2022-07-05 | 广州文远知行科技有限公司 | Movable carrier control method, device, movable carrier and storage medium |
| CN113370792A (en) * | 2021-07-06 | 2021-09-10 | 恒大新能源汽车投资控股集团有限公司 | Electric vehicle energy recovery grade setting method, storage medium and electronic equipment |
| WO2023130917A1 (en) * | 2022-01-04 | 2023-07-13 | 比亚迪股份有限公司 | Hybrid vehicle, power generation method and apparatus thereof, and vehicle controller |
| CN115188205A (en) * | 2022-07-04 | 2022-10-14 | 武汉理工大学 | Automobile driving condition correction method based on road information |
| CN115188205B (en) * | 2022-07-04 | 2024-03-29 | 武汉理工大学 | Road information-based automobile driving condition correction method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106004864B (en) | 2018-09-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106004864A (en) | Vehicle traveling control method and system | |
| CN107020962B (en) | Range extender for fuel cell | |
| CN107351840B (en) | A kind of vehicle energy saving path and economic speed dynamic programming method based on V2I | |
| US9714023B2 (en) | System and method for controlling hybrid vehicle | |
| CN107207014B (en) | For running the method and system of motor vehicle | |
| US6687607B2 (en) | Method for controlling a drive train of a hybrid vehicle | |
| WO2017186002A1 (en) | Method for adjusting adaptive driving behavior of electric automobile | |
| WO2022142540A1 (en) | New energy vehicle coasting control system and method based on intelligent networking information, and new energy vehicle | |
| CN106467103B (en) | A kind of the Intelligent oil-saving control method and system of vehicle | |
| CN109733378A (en) | Optimize the torque distribution method predicted on line under a kind of line | |
| CN111976699B (en) | Vehicle energy management device and method | |
| CN109910866A (en) | Hybrid vehicle energy management method and system based on road condition predicting | |
| CN111038488B (en) | Energy optimization control method and device for hybrid electric vehicle | |
| CN102753415B (en) | Method for operating a vehicle with internal combustion engine and generator | |
| CN107117164B (en) | A kind of stroke-increasing electric automobile APU control method | |
| CN104627168A (en) | Plug-in hybrid power bus dynamic logic threshold energy management method based on road condition model | |
| CN113844270A (en) | Display mileage updating method and device of electric automobile and vehicle | |
| US10906526B2 (en) | Dynamic hybrid vehicle system for stabilizing cylinder deactivation or turbocharger boosting | |
| CN109421689A (en) | A kind of automobile energy-saving control method, system and vehicle | |
| CN111497821B (en) | Energy management method for hybrid vehicle | |
| DE102017118833A1 (en) | AUTOMATIC DRIVE MODE SELECTION | |
| CN110375757A (en) | Intelligently auxiliary roadway line gauge draws method to new-energy automobile based on big data | |
| CN106427527A (en) | Tractor extended range control method, control device and hydraulic power system thereof | |
| CN113370966B (en) | Hybrid electric vehicle power system oil-electricity switching control method, storage medium and electronic equipment | |
| CN113815488A (en) | Energy distribution method and device of electric automobile and vehicle |
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 |