CN112319459A - Method, device and medium for hybrid vehicle to adapt to mountain road working condition - Google Patents
Method, device and medium for hybrid vehicle to adapt to mountain road working condition Download PDFInfo
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- CN112319459A CN112319459A CN202011159001.2A CN202011159001A CN112319459A CN 112319459 A CN112319459 A CN 112319459A CN 202011159001 A CN202011159001 A CN 202011159001A CN 112319459 A CN112319459 A CN 112319459A
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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
- 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
- B60W30/18—Propelling the vehicle
- B60W30/182—Selecting between different operative modes, e.g. comfort and performance modes
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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
- 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
- B60W40/02—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 ambient conditions
- B60W40/06—Road conditions
- B60W40/076—Slope angle of the road
Abstract
The invention discloses a method for a hybrid vehicle to adapt to mountain road conditions, which comprises the following steps: when the state of charge of the battery is smaller than the electric quantity calibration value, judging whether the slope of the mountain road is larger than the slope calibration value; and when the slope of the mountain road is greater than the slope calibration value and the slope length is greater than the slope length calibration value, automatically switching the mountain land mode. The invention also discloses a device and a computer readable storage medium, which solve the problem that the hybrid vehicle can not intelligently and automatically switch the mountain land mode when dealing with the mountain land working condition in the prior art.
Description
Technical Field
The invention relates to the technical field of control, in particular to a method and a device for a hybrid vehicle to adapt to mountain road conditions and a computer storage medium.
Background
At present, hybrid vehicle reply mountain region operating mode can set up the mountain region mode to this strengthens vehicle power, promotes vehicle power conservation ability, improves the adaptability of vehicle to the mountain region. Normally, the driver starts the mountain land mode through the mode selection switch, and this mode has the defect mainly:
1. after the vehicle enters a mountain working condition, a driver forgets to switch a mountain mode, and the electric quantity of a power battery is possibly reduced sharply, so that the hill start of the vehicle is weak, and the driving experience is influenced under the condition of weak power during acceleration;
2. after the vehicle enters a mountain working condition, if the electric quantity of the power battery is too low and a mountain ramp is long, the power performance of the vehicle cannot be ensured at the moment, so that the climbing capability of the vehicle in the mountain is influenced; if the power battery has high electric quantity and the mountain ramp is short, the mountain mode is switched in advance, so that the oil consumption is increased, the energy utilization rate is reduced, and the advantages of energy conservation and emission reduction of the hybrid electric vehicle cannot be exerted to the maximum extent. Therefore, the problem that the hybrid vehicle cannot intelligently and automatically switch the mountain mode when coping with the mountain working condition exists in the prior art.
Disclosure of Invention
The invention mainly aims to provide a method and a device for a hybrid vehicle to adapt to mountain road working conditions and a computer storage medium, and aims to solve the problem that a hybrid vehicle cannot intelligently and automatically switch mountain modes when coping with mountain working conditions in the prior art.
In order to achieve the above object, the present invention provides a method for adapting a hybrid vehicle to a mountain road condition, comprising the steps of:
when the state of charge of the battery is smaller than the electric quantity calibration value, judging whether the slope of the mountain road is larger than the slope calibration value;
and when the slope of the mountain road is greater than the slope calibration value and the ramp length is greater than the ramp length calibration value, automatically switching the mountain land mode.
In one embodiment, the determining whether the hill slope is greater than the slope calibration value includes:
estimating the slope of the mountain road by using a vehicle dynamics equation;
and judging whether the value of the mountain road gradient obtained by estimation is larger than the gradient calibration value.
In one embodiment, the vehicle dynamics equation is:
Tq/R＝m*g*(f1+f2*u+f3*u2)+CD*A*u2/21.25+δ*m*a+m*g*sinα
wherein:
Tqtotal vehicle drive torque;
r, wheel radius;
m, vehicle mass;
g, a gravity constant;
f1、f2、f3speed-dependent rolling resistance coefficient;
u, vehicle speed;
CDwind resistance coefficient;
a, the windward resistance area of the vehicle;
delta, the conversion coefficient of the rotating mass of the automobile;
a, vehicle acceleration;
α, ramp angle.
In one embodiment, the determining whether the hill slope is greater than the slope calibration value includes:
estimating the slope of the mountain road by using a vehicle-mounted navigation system; the vehicle-mounted navigation system comprises a geographic information system and a global positioning system;
and judging whether the value of the mountain road gradient obtained by estimation is larger than the gradient calibration value.
In one embodiment, the estimating the hill slope using the car navigation system includes:
acquiring a driving destination selected on the vehicle-mounted navigation system;
determining a driving path according to the driving destination, and judging whether mountain road conditions exist on the driving path;
when mountain road conditions exist on the driving path, determining a target sampling point;
obtaining a vehicle location in real time by the global positioning system receiver;
calculating the road surface driving distance between the current position of the vehicle and the target sampling point;
acquiring the altitude of the target sampling point and the altitude of the current position of the vehicle by utilizing map matching of a geographic information system;
and calculating the slope of the mountain road through a mountain road slope value calculation formula.
In one embodiment, the calculation formula of the hill slope value is as follows:
wherein i is a mountain slope value; e2The road surface elevation of the target sampling point is obtained; e1The road elevation of the current position of the vehicle; and L is the vehicle road surface driving distance between the current position of the vehicle and the target sampling point.
In one embodiment, the ramp length is the road travel distance.
In an embodiment, after the step of automatically switching the mountain mode, the method further includes:
and exiting the mountain land mode when the slope of the mountain land is less than or equal to the slope calibration value of the mountain land and the driving distance is greater than the slope length calibration value.
To achieve the above object, the present invention further provides an apparatus, which includes a memory, a processor, and a hybrid vehicle adaptive hill-holding program stored in the memory and executable on the processor, wherein the hybrid vehicle adaptive hill-holding program, when executed by the processor, implements the steps of the method for adapting the hybrid vehicle to the hill-holding condition as described above.
To achieve the above object, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a hybrid vehicle adaptive hill-holding program, and the hybrid vehicle adaptive hill-holding program is executed by a processor to implement the steps of the hybrid vehicle adaptive hill-holding method as described above.
According to the method, the device and the computer storage medium for the hybrid vehicle to adapt to the mountain road working condition, when the charge state of the battery is smaller than the electric quantity calibration value, whether the slope of the mountain road is larger than the slope calibration value or not is judged according to the charge state of the battery; when the mountain road gradient is greater than the slope calibration value and the ramp length is greater than the ramp length calibration value, namely when the above conditions are met, the hybrid vehicle automatically switches the mountain land mode, the situation that a user forgets to switch the mountain land mode and the hybrid vehicle automatically switches the mountain land mode is guaranteed, and the situation that the mountain land mode is intelligently and automatically switched when the mountain land working condition is met is also guaranteed. Therefore, the problem that the hybrid power vehicle cannot intelligently and automatically switch the mountain mode when coping with the mountain working condition in the prior art is solved.
Drawings
FIG. 1 is a schematic diagram of an apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a method for adapting a hybrid vehicle to a mountain range condition in accordance with the present invention;
FIG. 3 is a schematic flow chart of a method for adapting a hybrid vehicle to a mountain range condition according to a second embodiment of the present invention;
FIG. 4 is a schematic flow chart illustrating a method of adapting a hybrid vehicle to a mountain range operation according to a third embodiment of the present invention;
FIG. 5 is a schematic diagram of a slope calculation of a mountain road;
FIG. 6 is a flowchart illustrating a method for adapting a hybrid vehicle to a mountain road condition according to a fourth embodiment of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: when the state of charge of the battery is smaller than the electric quantity calibration value, judging whether the slope of the mountain road is larger than the slope calibration value or not in the state of charge of the battery; when the mountain road gradient is greater than the slope calibration value and the ramp length is greater than the ramp length calibration value, namely when the above conditions are met, the hybrid vehicle automatically switches the mountain land mode, the situation that a user forgets to switch the mountain land mode and the hybrid vehicle automatically switches the mountain land mode is guaranteed, and the situation that the mountain land mode is intelligently and automatically switched when the mountain land working condition is met is also guaranteed. Therefore, the problem that the hybrid power vehicle cannot intelligently and automatically switch the mountain mode when coping with the mountain working condition in the prior art is solved.
As an implementation manner, fig. 1 may be shown, where fig. 1 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
It will be appreciated that memory 1200 in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (ddr Data Rate SDRAM, ddr SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 1200 of the systems and methods described in connection with the embodiments of the invention is intended to comprise, without being limited to, these and any other suitable types of memory.
For a software implementation, the techniques described in this disclosure may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described in this disclosure. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Based on the above structure, an embodiment of the present invention is proposed.
Referring to fig. 2, fig. 2 is a first embodiment of a hybrid vehicle adaptive to a mountain road condition according to the present invention, the hybrid vehicle adaptive to the mountain road condition method comprising the steps of:
and step S110, when the state of charge of the battery is smaller than the electric quantity calibration value, judging whether the slope of the mountain road is larger than the slope calibration value.
In the embodiment, a Hybrid vehicle, also called a Hybrid Power Automobile (Hybrid Power Automobile), is equipped with two or more Power sources: the composite power automobile comprises a storage battery, a fuel cell, a solar cell and a generator set of the diesel locomotive, and the current composite power automobile generally refers to a diesel locomotive generator and an automobile with the storage battery. Vehicle-mounted power sources are various: the composite power automobile comprises a storage battery, a fuel cell, a solar cell and a generator set of the diesel locomotive, and the current composite power automobile generally refers to a diesel locomotive generator and an automobile with the storage battery. There are currently 3 main types of hybrid vehicles. The parallel connection mode is based on the principle that an engine is used as main power, and an electric motor is used as auxiliary serial connection hybrid electric vehicle for assisting power. The mode mainly uses the engine to drive and run, and utilizes the characteristic of the electric motor that the electric motor generates strong power when restarting, and when the fuel consumption of the engine is large, such as starting and accelerating of an automobile, the fuel consumption of the engine is reduced by the auxiliary driving mode of the electric motor. The structure of the mode is simpler, and only an electric motor and a battery jar need to be added on the automobile. In addition, the engine is driven by only the electric motor to run at a low speed, and the engine and the electric motor are driven in a matching manner at an increased speed in a series-parallel manner. When the speed is increased, the engine and the electric motor share the power efficiently, and the mode needs a power sharing device, a generator and the like, so the structure is complex. In the case of an electric vehicle which runs by driving only with an electric motor, the engine is used only as a power source, the vehicle runs by driving only with the electric motor, and the driving system is only the electric motor.
HEV (Hybrid-electric vehicle) -Hybrid electric vehicle. The hybrid power means that the automobile uses two driving modes of gasoline driving and electric driving, and has the advantages that when the automobile is started and stopped, the engine does not work only by being driven by the generator without reaching a certain speed, so that the engine can be always kept in the optimal working condition state, the power performance is good, the emission is low, and the source of electric energy is the engine and only oil filling is needed. The key of the hybrid electric vehicle is a hybrid power system, and the performance of the hybrid electric vehicle is directly related to the overall performance of the hybrid electric vehicle. Through the development of more than ten years, the hybrid power system assembly has been developed from the original discrete structure of the engine and the motor to the integrated structure of the engine motor and the gearbox, namely an integrated hybrid power assembly system. The hybrid power assembly is classified by a power transmission route and can be divided into a series type, a parallel type and a series-parallel type.
In this embodiment, the battery refers to a power battery, which includes but is not limited to: lead-acid batteries, nickel-cadmium batteries, nickel-hydrogen batteries, lithium ion batteries, and the like, selected according to the particular application. Soc (state of charge), which is the state of charge, is used to reflect the remaining capacity of the battery, and is numerically defined as the ratio of the remaining capacity to the battery capacity, and is usually expressed as a percentage. The value range of the battery charging indicator is 0-1, when the SOC is 0, the battery is completely discharged, and when the SOC is 1, the battery is completely charged. The SOC of the battery cannot be directly measured, and the SOC can be estimated only from parameters such as the terminal voltage, the charge-discharge current, and the internal resistance of the battery.
Methods for estimating SOC include, but are not limited to, the following: 1. the internal resistance method, the internal resistance measurement method, is to excite the battery with alternating current of different frequencies, measure the alternating current resistance in the battery, and obtain the SOC estimation value through the established calculation model. The SOC value of the battery under a certain constant current discharging condition is reflected by the battery SOC measured by the method. 2. The linear model method is based on the SOC variation, current, voltage and last time point SOC value, and is suitable for low current and SOC gradual change conditions, and has high robustness to measurement error and wrong initial conditions. 3. The Kalman filtering method is based on the ampere-hour integration method. The main idea of the Kalman filtering method is to make the optimal estimation of the state of the power system in the sense of minimum variance. The method is applied to the SOC estimation of the battery, the battery is regarded as a power system, and the state of charge is an internal state of the system.
The hybrid vehicle detects the state of charge of the battery, and judges whether the state of charge of the battery is smaller than an electric quantity calibration value, and the electric quantity calibration value can be set according to specific application without any limitation. When the hybrid vehicle detects that the state of charge of the battery is smaller than the electric quantity calibration value, judging one of the conditions of the SOC of the battery, and avoiding unnecessary oil consumption and emission caused by premature switching while ensuring the mountain dynamic property of the vehicle; then, whether the slope of the mountain road is larger than the slope calibration value is judged, and the estimation method of the slope of the mountain road includes but is not limited to: and estimating by using a vehicle dynamics equation and estimating by using a vehicle navigation system. As specifically set forth in the examples that follow.
And step S120, when the slope of the mountain road is greater than the slope calibration value and the slope length is greater than the slope length calibration value, automatically switching the mountain land mode.
In this embodiment, when the result of the determination is that the slope of the mountain road is greater than the slope calibration value, the slope of the road is taken as one of the determination conditions, so as to avoid switching the mountain mode by mistake; judging whether the length of the ramp is larger than a calibration value of the length of the ramp, wherein the estimation method of the length of the ramp can be obtained by using a vehicle-mounted navigation system and a vehicle-mounted computing system; the length of the ramp is used as one of the judging conditions, so that poor driving experience caused by frequent starting of the mountain land mode is avoided; the hybrid vehicle automatically switches the mountain mode when the hill slope is greater than the slope calibration value and the ramp length is greater than the ramp length calibration value. The mountain land mode can be a combined driving mode in which the motor and the internal combustion engine work simultaneously, and can also be a single working mode of the internal combustion engine.
In the technical scheme provided by the embodiment, when the state of charge of the battery is smaller than the electric quantity calibration value, whether the slope of the mountain road is larger than the slope calibration value or not is judged according to the state of charge of the battery; when the mountain road gradient is greater than the slope calibration value and the ramp length is greater than the ramp length calibration value, namely when the above conditions are met, the hybrid vehicle automatically switches the mountain land mode, the situation that a user forgets to switch the mountain land mode and the hybrid vehicle automatically switches the mountain land mode is guaranteed, and the situation that the mountain land mode is intelligently and automatically switched when the mountain land working condition is met is also guaranteed. Therefore, the problem that the hybrid power vehicle cannot intelligently and automatically switch the mountain mode when coping with the mountain working condition in the prior art is solved.
Referring to fig. 3, fig. 3 is a second embodiment of the method for adapting a hybrid vehicle to a mountain road condition according to the present invention, which includes:
compared with the first embodiment, the second embodiment includes step S210 and step S220, and other steps are the same as those of the first embodiment and are not repeated.
Step S210, when the state of charge of the battery is smaller than the electric quantity calibration value, estimating the slope of the mountain road by using a vehicle dynamics equation;
in this embodiment, the hill slope is estimated using the vehicle dynamics equation when the state of charge of the battery is less than the charge calibration value. The method comprises the following specific steps:
Tq/R＝m*g*(f1+f2*u+f3*u2)+CD*A*u2/21.25+δ*m*a+m*g*sinα
wherein:
Tqtotal vehicle drive torque, unit: nm;
r, wheel radius, unit: m;
m, vehicle mass, unit: kg;
g, gravity constant, is 9.8m/s2；
f1、f2、f3Speed-dependent rolling resistance coefficient;
u, vehicle speed, unit km/h;
CDwind resistance coefficient;
a, the windward resistance area of the vehicle, unit: m is2；
Delta, the conversion coefficient of the rotating mass of the automobile, wherein delta is more than 1;
a, vehicle acceleration, unit: m/s2；
α, ramp angle, unit: degrees (°).
And step S220, judging whether the value of the mountain road gradient obtained by estimation is larger than a gradient calibration value or not.
In this embodiment, whether the value of the slope of the mountain road estimated by the vehicle dynamics equation is larger than the slope calibration value is determined.
And step S230, when the slope of the mountain road is greater than the slope calibration value and the slope length is greater than the slope length calibration value, automatically switching the mountain land mode.
Referring to fig. 4, fig. 4 shows a third embodiment of the method for adapting a hybrid vehicle to a mountain road condition according to the present invention, which includes:
compared with the first embodiment, the third embodiment includes step S310 and step S320, and other steps are the same as those of the first embodiment and are not repeated.
And step S310, when the state of charge of the battery is smaller than the electric quantity calibration value, estimating the slope of the mountain road by using the vehicle-mounted navigation system.
In the present embodiment, the in-vehicle navigation system includes a Geographic Information System (GIS) and a Global Positioning System (GPS); with the widespread application of vehicle-mounted navigation systems and the continuous upgrading of navigation technologies, the navigation systems based on the GPS tend to mature, and the real-time position of the vehicle can be acquired by using a GPS receiver. The GIS is separated from a map, is a carrier of geographic information, is widely applied to traffic, and can provide some basic information of roads, such as pavement elevation and road mileage. And when the state of charge of the battery is smaller than the electric quantity calibration value, estimating the slope of the mountain road by using the vehicle-mounted navigation system.
Step S310 includes the steps of:
and step S311, acquiring the driving destination selected on the vehicle-mounted navigation system.
In the present embodiment, the hybrid vehicle acquires a driving destination selected by the driver on the in-vehicle navigation system.
Step S312, determining a driving path according to the driving destination, and judging whether mountain road conditions exist on the driving path.
In this embodiment, the vehicle navigation system determines a driving route according to the driving destination, and determines whether a mountain road condition exists on the driving route through the vehicle navigation system.
And step S313, determining a target sampling point when mountain road conditions exist on the driving path.
In the embodiment, when there is mountain road condition on the driving path, a target sampling point is determined, and the target sampling point may preferably be a slope top point.
Step S314, obtaining the vehicle position in real time through the gps receiver.
In this embodiment, the hybrid vehicle position is obtained in real time by a global positioning system receiver.
And step S315, calculating the road surface travel distance between the current position of the vehicle and the target sampling point.
In the embodiment, the vehicle-mounted computer system calculates the road surface travel distance of the current position of the hybrid vehicle from the target sampling point in real time. The calculated road travel distance is an estimated value of the ramp length, and data judgment is provided for judging whether the subsequent ramp length is greater than a ramp length calibration value.
And step S316, acquiring the altitude of the target sampling point and the altitude of the current position of the vehicle by using geographic information system map matching.
In the present embodiment, the altitude of the target sampling point and the altitude of the current position of the hybrid vehicle can be acquired using geographic information system map matching.
And step S317, calculating the slope of the mountain road through a mountain road slope value calculation formula.
In this embodiment, the mountain slope is calculated by a mountain slope value calculation formula. The mountain slope value calculation formula is as follows:
wherein i is a mountain slope value; e2The pavement elevation of the target sampling point is obtained; e1The road elevation of the current position of the vehicle; and L is the vehicle road surface driving distance between the current position of the vehicle and the target sampling point.
Referring to fig. 5, fig. 5 is a schematic diagram of a calculated mountain slope.
And step S320, judging whether the value of the mountain road gradient obtained by estimation is larger than a gradient calibration value or not.
In this embodiment, whether the value of the mountain road gradient is larger than the gradient calibration value is determined according to the estimated value.
And step S330, when the slope of the mountain road is greater than the slope calibration value and the slope length is greater than the slope length calibration value, automatically switching the mountain land mode.
In the technical scheme provided by this embodiment, the mountain slope gradient and the slope length are estimated by using a mountain slope value calculation formula, so as to provide data support for subsequent judgment.
Referring to fig. 5, fig. 5 shows a fourth embodiment of the method for adapting a hybrid vehicle to a mountain road condition according to the present invention, which comprises:
and step S410, when the state of charge of the battery is smaller than the electric quantity calibration value, estimating the slope of the mountain road by using the vehicle-mounted navigation system.
Step S420, determining whether the value of the slope of the mountain road is greater than the slope calibration value according to the estimated value.
And step S430, when the slope of the mountain road is greater than the slope calibration value and the slope length is greater than the slope length calibration value, automatically switching the mountain land mode.
Compared with the third embodiment, the fourth embodiment includes step S450 and step S460, and other steps are the same as those of the third embodiment and are not repeated.
And step S440, when the slope of the mountain road is less than or equal to the slope calibration value of the mountain road and the driving distance is greater than the slope length calibration value, exiting the mountain land mode.
In this embodiment, when the slope of the mountain road is less than or equal to the slope calibration value of the mountain road and the driving distance is greater than the slope length calibration value, for example, the hybrid vehicle has finished driving on the current slope according to the mountain mode, and the subsequent road is level ground or when the slope of the mountain road is slow, that is, when the slope of the mountain road is less than or equal to the slope calibration value of the mountain road, the hybrid vehicle exits from the mountain mode, thereby maximizing the advantages of energy conservation and emission reduction of the hybrid vehicle and increasing the energy utilization rate.
The invention also provides a device comprising a memory, a processor and a hybrid vehicle adaptive hill-side program stored in the memory and executable on the processor, wherein the hybrid vehicle adaptive hill-side program is executed by the processor to implement the steps of the hybrid vehicle adaptive hill-side method as described above.
The invention also provides a computer-readable storage medium, which is characterized in that the computer-readable storage medium stores a hybrid vehicle adaptive hill-side program, and the hybrid vehicle adaptive hill-side program is executed by a processor to realize the steps of the hybrid vehicle adaptive hill-side method.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method for adapting a hybrid vehicle to a mountain road condition is characterized by comprising the following steps:
when the state of charge of the battery is smaller than the electric quantity calibration value, judging whether the slope of the mountain road is larger than the slope calibration value;
and when the slope of the mountain road is greater than the slope calibration value and the ramp length is greater than the ramp length calibration value, automatically switching the mountain land mode.
2. The method of hybrid vehicle adaptation to a mountain road condition of claim 1, wherein the determining whether the mountain road slope is greater than a slope calibration value comprises:
estimating the slope of the mountain road by using a vehicle dynamics equation;
and judging whether the value of the mountain road gradient obtained by estimation is larger than the gradient calibration value.
3. The method of hybrid vehicle adaptive hill-holding condition according to claim 2, wherein the vehicle dynamics equation is:
Tq/R＝m*g*(f1+f2*u+f3*u2)+CD*A*u2/21.25+δ*m*a+m*g*sinα
wherein:
Tqtotal vehicle drive torque;
r, wheel radius;
m, vehicle mass;
g, a gravity constant;
f1、f2、f3speed-dependent rolling resistance coefficient;
u, vehicle speed;
CDwind resistance coefficient;
a, the windward resistance area of the vehicle;
delta, the conversion coefficient of the rotating mass of the automobile;
a, vehicle acceleration;
α, ramp angle.
4. The method of hybrid vehicle adaptation to a mountain road condition of claim 1, wherein the determining whether the mountain road slope is greater than a slope calibration value comprises:
estimating the slope of the mountain road by using a vehicle-mounted navigation system; the vehicle-mounted navigation system comprises a geographic information system and a global positioning system;
and judging whether the value of the mountain road gradient obtained by estimation is larger than the gradient calibration value.
5. The method of hybrid vehicle adaptive hill behavior according to claim 4, wherein estimating the hill slope with an on-board navigation system comprises:
acquiring a driving destination selected on the vehicle-mounted navigation system;
determining a driving path according to the driving destination, and judging whether mountain road conditions exist on the driving path;
when mountain road conditions exist on the driving path, determining a target sampling point;
obtaining a vehicle location in real time by the global positioning system receiver;
calculating the road surface driving distance between the current position of the vehicle and the target sampling point;
acquiring the altitude of the target sampling point and the altitude of the current position of the vehicle by utilizing map matching of a geographic information system;
and calculating the slope of the mountain road through a mountain road slope value calculation formula.
6. The method of claim 5, wherein the hill slope value is calculated by the formula:
wherein i is a mountain slope value; e2The road surface elevation of the target sampling point is obtained; e1The road elevation of the current position of the vehicle; and L is the vehicle road surface driving distance between the current position of the vehicle and the target sampling point.
7. A method of hybrid vehicle adaptation to mountain range conditions as claimed in claim 6 wherein the ramp length is the road travel distance.
8. A method of adapting a hybrid vehicle to a mountain range as defined in claim 7, wherein the step of automatically switching to mountain mode is followed by the step of:
and exiting the mountain land mode when the slope of the mountain land is less than or equal to the slope calibration value of the mountain land and the driving distance is greater than the slope length calibration value.
9. An apparatus comprising a memory, a processor, and a hybrid vehicle adaptive hill-holding program stored in the memory and executable on the processor, the hybrid vehicle adaptive hill-holding program when executed by the processor implementing the steps of the hybrid vehicle adaptive hill-holding method according to any one of claims 1-8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a program for hybrid vehicle adaptive hill-holding, which when executed by a processor, performs the steps of the method for hybrid vehicle adaptive hill-holding according to any one of claims 1 to 8.
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