CN105966390B - A kind of new energy vehicle based on cloud computing path planning - Google Patents
A kind of new energy vehicle based on cloud computing path planning Download PDFInfo
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- 238000005457 optimization Methods 0.000 claims abstract description 22
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- 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
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- 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
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- 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
- B60W10/18—Conjoint control of vehicle sub-units of different type or different function including control of braking systems
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- 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
- B60W10/20—Conjoint control of vehicle sub-units of different type or different function including control of steering systems
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- 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
- B60W2530/00—Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
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- 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
- B60W2555/00—Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
-
- 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
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- 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
- B60W2720/00—Output or target parameters relating to overall vehicle dynamics
- B60W2720/10—Longitudinal speed
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- 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
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Abstract
A kind of new energy vehicle based on cloud computing path planning, vehicle ontology is oil and electricity hybrid vehicle, including instrument board data monitoring module, streetscape data acquisition module, GPS positioning module, terminal node module, server farm module, steering and brake module are embedded in server farm processor adaptive targets function optimization genetic algorithm module.The adaptive targets function optimization genetic algorithm, input are the effective input datas in addition to fuel consumption data transmitted on all terminal nodes；The valid data are concatenated 16 time datas, 48 character datas and 16 longitude and latitude location datas, and the optimization aim of the adaptive targets function optimization genetic algorithm is that oil consumption is minimum；When automobile in motion, by the steering of the terminal node module real-time control vehicle ontology, speed change and powershift greatly improve the energy consumption of automobile, improve energy utilization rate, not only have high economic benefit, moreover it is possible to generate higher environmental benefit.
Description
Technical field
The present invention relates to automotive automation field, in particular to a kind of new energy vehicle based on cloud computing path planning.
Background technique
Digging in face of diversified running environment, using computer technology to automobile self information and external environmental information
Pick, will be so that the above problem be readily solved.And the introducing of cloud computing, the accuracy and efficiency of calculating will be greatly improved.Cloud computing
It is a multi-field cross discipline, is related to the multiple subjects such as probability theory, statistics, game theory, algorithm complexity theory.Cloud computing
It is parallel computation (Parallel Computing), distributed computing (Distributed Computing) and grid computing
The development of (Grid Computing), or perhaps the business of these computer science concepts is realized.Field of cloud calculation has been gushed
A large amount of new technologies are revealed, they become cloud computing acquisition, storage, processing and the powerful mean presented.Cloud computing is virtual
Change (Virtualization), public calculating (Utility Computing), IaaS (infrastructure services), PaaS (platform
Service), SaaS (software be service) etc. concepts mixing evolution and the result that rises to.Cloud computing processing key technology is generally wrapped
Include: cloud computing acquisition, cloud computing pretreatment, cloud computing storage and management, cloud computing analysis and excavation, cloud computing show and apply
(cloud computing retrieval, cloud computing visualization, cloud computing application, cloud computing safety etc.).And emerging in recent years and increasingly mature branch
It holds vector machine and self-organized learning theory and technology and increasingly plays key player in field of intelligent control.As many cloud computings
One of algorithm, genetic algorithm (Genetic Algorithm) are natural selection and the something lost for simulating Darwinian evolutionism
The computation model for learning the biological evolution process of mechanism is passed, is a kind of method by simulating natural evolution process searches optimal solution.
Genetic algorithm is may be a population of potential disaggregation since the problem that represents, and a population by gene then by encoding
Certain amount individual composition.Each individual is actually the entity that chromosome has feature.Chromosome is as inhereditary material
Main carriers, i.e., the set of multiple genes, internal performance is certain assortment of genes, it determines the outside of the shape of individual
Performance, as dark hair is characterized in being determined by certain assortment of genes for controlling this feature in chromosome.Therefore, at the beginning
Need to realize the mapping i.e. coding work from phenotype to genotype.Since the work for copying gene to encode is very complicated, we are past
Toward being simplified, such as binary coding after population primary generates, according to the principle of the survival of the fittest and the survival of the fittest, is drilled by generation
Change produces the approximate solution become better and better, in every generation, according to fitness size selection individual individual in Problem Areas, and by
It is combined intersection and variation in the genetic operator of natural genetics, produces the population for representing new disaggregation.This process will
The rear life for causing kind of images of a group of characters natural evolution the same is more adaptive to environment than former generation for population, the optimum individual warp in last reign of a dynasty population
Decoding is crossed, can be used as problem approximate optimal solution.
Summary of the invention
In order to solve technical problem of the existing technology, the present invention provides a kind of new energy based on cloud computing path planning
Source vehicle.
A kind of new energy vehicle based on cloud computing path planning, it further includes instrument board that Che Benti, which is oil and electricity hybrid vehicle,
Data monitoring module, streetscape data acquisition module, GPS positioning module, terminal node module, server farm module, turn to
Brake module is embedded in server farm processor adaptive targets function optimization genetic algorithm module.
The instrument board data monitoring module, including being located at the detachable image sensing above fuel consumption data instrument board
Device, oil consumption image data buffer, oil consumption character recognition calculator, fuel consumption data bluetooth transmitters.The detachable image
Sensor connects oil consumption image data buffer by wired mode, and the oil consumption image data buffer core is ARM core
32-bit microprocessor connects the character recognition calculator, the oil consumption character recognition meter by way of parallel interface
Calculation device is digital signal processor, connects the fuel consumption data bluetooth transmitters.
Streetscape data acquisition module, including two-way street view image sensor, street view image buffer, street view image character are known
Other calculator, street view image character data bluetooth transmitters；The streetscape two-way imaging sensor is located at the difference face of roof
To vehicle two sides, by the wired mode connection street view image buffer, the street view image buffer kernel is ARM core
32-bit microprocessor connects the street view image character recognition calculator, the streetscape figure by way of parallel interface
Picture character recognition calculator is digital signal processor, for obtaining 3 highest characters of confidence level in street view image, is connected
The street view image character data bluetooth transmitters.
The GPS positioning module, including GPS positioning data acquisition module, location data bluetooth transmitters；Described
GPS positioning data module is located above roof and where the street view image sensor at same position, the GPS positioning
The data module location data bluetooth transmitters described by the connection of ISO7816-10 agreement；The location data Bluetooth transmission
Device emits simultaneously with the street view image data source data.
The terminal node module, including Bluetooth data reception device, Data Integration calculator, solid state medium memory,
Wifi module, is placed in car；The Bluetooth data reception device, for receiving from the fuel consumption data Bluetooth transmission
The data that device, the street view image character data bluetooth transmitters and the location data bluetooth transmitters are sent are led to
Cross wired mode connection data conformity calculation device；The core of the Data Integration calculator is low-power consumption X86 core, built-in real-time
Moment counter, the built-in real time of day counter be used for synchronization point data at the time of real world, it is described
Data Integration calculator is by real time of day data, with corresponding fuel consumption data, the data of 3 characters of street view image, location data
The format for being converted to file, it is described by the wired mode connection Wifi module and the solid state medium memory
Wifi module is used to for file data to be uploaded to the server farm module.
The steering and brake module, including steering controller, speed controller, powershift controller, capacitor every
From device, front and back steering shaft, power engine, brake device；The steering controller, speed controller, powershift control
Device processed connects the Data Integration calculator simultaneously respectively；The front and back steering shaft is connected by the Capacitor apart device
The steering controller, the steering controller is controlled by the Data Integration calculator, according to by the service
The route planning result that device group module returns controls the steering of the vehicle ontology；The power engine and the brake are dynamic
Make the device speed controller described by the Capacitor apart device connection, the speed controller is whole by the data
Close calculator control, the real-time results that the steering controller is obtained according to the Data Integration calculator are to braking maneuver
Device provides brake signal；The powershift controller is controlled by the Data Integration calculator, according to by described
The switching fuel power driving of route planning module and real-time fuel consumption data or electronic power drive mould that server farm module returns
Formula.
The server farm module includes the adaptive targets function optimization heredity of insertion server farm processor
Algorithm；The adaptive targets function optimization genetic algorithm, input be transmitted on all terminal nodes except fuel consumption data with
Outer effective input data；The valid data are concatenated 16 time datas, 48 character datas and 16 longitudes and latitudes
Location data, the optimization aim of the adaptive targets function optimization genetic algorithm are that oil consumption is minimum；The adaptive mesh
The objective function of scalar functions optimized Genetic Algorithm is by concatenated 16 time datas, 48 character datas and 16 longitude and latitude positioning
Data are obtained with known corresponding fuel consumption data by column Wen Baige-Ma Kuaertefa fitting；The adaptive targets function
The gene of optimized Genetic Algorithm is encoded to concatenated 16 time datas, and 48 character datas and 16 longitudes and latitudes position number
According to binary numeral.
Detailed description of the invention
Fig. 1 is data acquisition module topological diagram of the present invention；
Fig. 2 is terminal node of the present invention and topology server figure；
Fig. 3 is terminal node of the present invention and turns to and brake module structure chart；
Fig. 4 is fuel consumption data acquisition algorithm of the present invention；
Fig. 5 is street view image character data acquisition algorithm of the present invention；
Fig. 6 is adaptive targets function optimization genetic algorithm.
Specific embodiment
The present invention is illustrated below with reference to embodiment and attached drawing.
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
A kind of new energy vehicle based on cloud computing path planning, Che Benti are oil and electricity hybrid vehicle, including instrument board number
According to monitoring module, streetscape data acquisition module, GPS positioning module, terminal node module, server farm module, steering and system
Dynamic model block is embedded in server farm processor adaptive targets function optimization genetic algorithm module.
The instrument board data monitoring module, including being located at the detachable imaging sensor above fuel consumption data instrument board
(101) as shown in Figure 1, as shown in Figure 1 (102), oil consumption character recognition calculator is as shown in Figure 1 for oil consumption image data buffer
(103), fuel consumption data bluetooth transmitters are (104) as shown in Figure 1.The detachable imaging sensor is connected by wired mode
Oil consumption image data buffer, the oil consumption image data buffer core is ARM core 32-bit microprocessor, by connecing parallel
The mode of mouth connects the character recognition calculator, and the oil consumption character recognition calculator is digital signal processor, even
Connect the fuel consumption data bluetooth transmitters.The acquisition algorithm of fuel consumption data is specifically as shown in Figure 4.
Streetscape data acquisition module, including two-way street view image sensor is as shown in Figure 1 (201), street view image buffer
(202) as shown in Figure 1, street view image character recognition calculator is (203) as shown in Figure 1, street view image character data Bluetooth transmission
Device is as shown in Figure 1 (204)；The streetscape two-way imaging sensor be located at roof respectively for vehicle two sides, pass through wired side
The formula connection street view image buffer, the street view image buffer kernel is ARM core 32-bit microprocessor, by simultaneously
The mode of line interface connects the street view image character recognition calculator, and the street view image character recognition calculator is number
Word signal processor connects the street view image number of characters for obtaining 3 highest characters of confidence level in street view image
According to bluetooth transmitters.The acquisition algorithm specific algorithm of streetscape data is as shown in Figure 5.
The GPS positioning module, including GPS positioning data acquisition module is as shown in Figure 1 (301), location data bluetooth
Transmitter is as shown in Figure 1 (302)；The GPS positioning data module is located at the street view image sensor above roof and described
At the same position of place, the GPS positioning data module location data bluetooth described by the connection of ISO7816-10 agreement
Transmitter；The location data bluetooth transmitters emit simultaneously with the street view image data source data.
The terminal node module, including Bluetooth data reception device is as shown in Figure 2 (401), Data Integration calculator is such as
(402) shown in Fig. 2, as shown in Figure 2 (403), Wifi module as shown in Figure 2 (404), is placed in car to solid state medium memory；
The Bluetooth data reception device, for receiving from the fuel consumption data bluetooth transmitters, the street view image word
It is whole to connect data by wired mode for the data that symbol bluetooth data transmitter and the location data bluetooth transmitters are sent
Close calculator；The core of the Data Integration calculator is low-power consumption X86 core, and built-in real time of day counter, described is interior
The real time of day counter set be used for synchronization point data at the time of real world, the Data Integration calculator will be real-time
Time data, with corresponding fuel consumption data, the data of 3 characters of street view image, location data is converted to the format of file, passes through
The wired mode connection Wifi module and the solid state medium memory, the Wifi module are used for file data
It is uploaded to the server farm module.
The steering and brake module, including steering controller is as shown in Figure 2 (601), speed controller is as shown in Figure 2
(602), as shown in Figure 2 (603), as shown in Figure 2 (606) (607), front and back steering shaft is such as Capacitor apart device for powershift controller
(604) (605) shown in Fig. 2, as shown in Figure 2 (608), brake device is as shown in Figure 2 (609) for power engine；Described turns
To controller, speed controller, powershift controller connects the Data Integration calculator simultaneously respectively；The front and back
The steering shaft steering controller described by the Capacitor apart device connection, the steering controller are whole by the data
Calculator control is closed, turning for the vehicle ontology is controlled according to the route planning result by the server farm module return
To；The power engine connects the speed by the Capacitor apart device with the brake device and controls
Device, the speed controller are controlled by the Data Integration calculator, and the steering controller is according to the data
The real-time results that conformity calculation device obtains provide brake signal to braking maneuver device；The powershift controller, by institute
The Data Integration calculator control stated, according to the route planning module and real-time fuel consumption by the server farm module return
Data switch fuel power driving or electric power drive mode；When vehicle in motion, the Data Integration calculator detects
When fuel consumption data is higher, the powershift controller is sent a signal to, by the powershift controller, by power source
Switch to electronic force mode；When vehicle in motion, when the Data Integration calculator detects that fuel consumption data is lower, send letter
Number by the powershift controller power source is switched into fuel power mode to the powershift controller.Institute
The steering stated and the structure chart of brake module and the terminal node module are as shown in Figure 3.
The server farm module includes the adaptive mesh of insertion server farm processor (501) as shown in Figure 2
Scalar functions optimized Genetic Algorithm；The adaptive targets function optimization genetic algorithm, input are transmitted on all terminal nodes
Effective input data in addition to fuel consumption data；The valid data are concatenated 16 time datas, 48 number of characters
It is that oil consumption is minimum according to the optimization aim with 16 longitude and latitude location datas, the adaptive targets function optimization genetic algorithm；
The objective function of the adaptive targets function optimization genetic algorithm by concatenated 16 time datas, 48 character datas and
16 longitude and latitude location datas are obtained with known corresponding fuel consumption data by column Wen Baige-Ma Kuaertefa fitting；Described
The gene of adaptive targets function optimization genetic algorithm is encoded to concatenated 16 time datas, 48 character datas and 16
The binary numeral of position longitude and latitude location data.Specific algorithm is as shown in Figure 6.
Claims (1)
1. a kind of new energy vehicle based on cloud computing path planning, Che Benti is oil and electricity hybrid vehicle, including instrument board data
Monitoring module, streetscape data acquisition module, GPS positioning module, terminal node module, server farm module are turned to and are braked
Module is embedded in server farm processor adaptive targets function optimization genetic algorithm module, the instrument board data monitoring
Module, including being located at the detachable imaging sensor above fuel consumption data instrument board, oil consumption image data buffer, oil consumption character
Identify that calculator, fuel consumption data bluetooth transmitters, the detachable imaging sensor connect oil consumption image by wired mode
Data buffer, the oil consumption image data buffer core is ARM core 32-bit microprocessor, by way of parallel interface
The connection oil consumption character recognition calculator, the oil consumption character recognition calculator are digital signal processor, connect institute
The fuel consumption data bluetooth transmitters stated, streetscape data acquisition module, including two-way street view image sensor, two-way street view image are slow
Rush device, street view image character recognition calculator, street view image character data bluetooth transmitters；The two-way street view image sensing
Device be located at roof respectively for vehicle two sides, by the wired mode connection two-way street view image buffer, described two
Road street view image buffer kernel is ARM core 32-bit microprocessor, and the street view image is connected by way of parallel interface
Character recognition calculator, the street view image character recognition calculator is digital signal processor, for obtaining street view image
In 3 highest characters of confidence level, connect the street view image character data bluetooth transmitters, the GPS positioning mould
Block, including GPS positioning data acquisition module, location data bluetooth transmitters；The GPS positioning data module is located on roof
Where square and described two-way street view image sensor at same position, the GPS positioning data module passes through ISO7816-
The 10 agreements connection location data bluetooth transmitters；The location data bluetooth transmitters and the street view image number
Emit simultaneously according to emitter data, the terminal node module, including Bluetooth data reception device, Data Integration calculator, Gu
State medium storage, Wifi module, is placed in car；The Bluetooth data reception device, for receiving from the oil
Consume bluetooth data transmitter, the street view image character data bluetooth transmitters and location data bluetooth transmitters hair
The data sent connect data conformity calculation device by wired mode；The core of the Data Integration calculator is low-power consumption
X86 core, built-in real time of day counter, the built-in real time of day counter are used for and synchronization point at the time of real world
Data, the Data Integration calculator is by real time of day data, with corresponding fuel consumption data, the number of 3 characters of street view image
According to location data is converted to the format of file, is deposited by the wired mode connection Wifi module and the solid state medium
Reservoir, the Wifi module are used to for file data to be uploaded to the server farm module, the server farm
Module includes the adaptive targets function optimization genetic algorithm of insertion server farm processor；The adaptive targets function
Optimized Genetic Algorithm, input are the effective input datas in addition to fuel consumption data transmitted on all terminal nodes；Described has
Imitating input data is concatenated 16 time datas, 96 character datas and 32 longitude and latitude location datas, and described is adaptive
The optimization aim of objective function optimization genetic algorithm is that oil consumption is minimum；The mesh of the adaptive targets function optimization genetic algorithm
Scalar functions are by concatenated 32 time datas, 96 character datas and 32 longitude and latitude location datas and known corresponding oil consumption number
It is obtained according to by column Wen Baige-Ma Kuaertefa fitting；The gene of the adaptive targets function optimization genetic algorithm
Concatenated 32 time datas are encoded to, the binary numeral of 96 character datas and 32 longitude and latitude location datas is described
Steering and brake module, including steering controller, speed controller, powershift controller, Capacitor apart device, front and back turn to
Axis, power engine, brake device；The steering controller, speed controller, powershift controller connect simultaneously respectively
Connect the Data Integration calculator；The front and back steering shaft course changing control described by the Capacitor apart device connection
Device, the steering controller are controlled by the Data Integration calculator, according to by the server farm module return
Route planning result control the steering of the vehicle ontology；The power engine and the brake device pass through described
The Capacitor apart device connection speed controller, the speed controller controls by the Data Integration calculator,
The steering controller provides braking to braking maneuver device according to the real-time results that the Data Integration calculator obtains
Signal；The powershift controller is controlled by the Data Integration calculator, according to by the server farm mould
The switching fuel power driving of route planning module and real-time fuel consumption data or electric power drive mode that block returns.
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| CN103057393A (en) * | 2012-12-30 | 2013-04-24 | 徐工集团工程机械股份有限公司江苏徐州工程机械研究院 | Control strategy of fluid and power combination hybrid power system and method for optimizing control parameter |
| CN103324982A (en) * | 2013-06-07 | 2013-09-25 | 银江股份有限公司 | Path planning method based on genetic algorithm |
| CN104331746A (en) * | 2014-10-20 | 2015-02-04 | 江苏大学 | Separate-type dynamic path optimization system and method thereof |
| CN105046365A (en) * | 2015-07-29 | 2015-11-11 | 余意 | Method and device for route optimization of logistics delivery vehicle |
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