CN116946141B - Control method and device of extended range electric automobile, electric automobile and storage medium - Google Patents
Control method and device of extended range electric automobile, electric automobile and storage medium Download PDFInfo
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- CN116946141B CN116946141B CN202311196904.1A CN202311196904A CN116946141B CN 116946141 B CN116946141 B CN 116946141B CN 202311196904 A CN202311196904 A CN 202311196904A CN 116946141 B CN116946141 B CN 116946141B
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Classifications
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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
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L50/00—Electric propulsion with power supplied within the vehicle
- B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
- B60L50/60—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries
- B60L50/61—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries by batteries charged by engine-driven generators, e.g. series hybrid electric vehicles
- B60L50/62—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries by batteries charged by engine-driven generators, e.g. series hybrid electric vehicles charged by low-power generators primarily intended to support the batteries, e.g. range extenders
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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
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
- B60W60/0023—Planning or execution of driving tasks in response to energy consumption
Abstract
The application provides a control method and device of an extended range electric automobile, the electric automobile and a storage medium. The method comprises the following steps: when the target object driving range-extending electric automobile does not use navigation, determining the remaining duration of the target object driving range-extending electric automobile according to the counted historical habit information of the target object driving range-extending electric automobile and the average energy consumption when various combined modes are adopted when various road sections are started to automatically drive and are not started to automatically drive; when the navigation is used, the optimal control combination of various road sections is determined according to the average energy consumption when various combination modes are respectively adopted when the automatic driving is started and the automatic driving is not started on various road sections, and the navigation energy consumption corresponding to the navigation is determined according to the road information corresponding to the navigation and the optimal control combination of various road sections. By adopting the technical means, the problems that the range-extended electric automobile in the prior art is inaccurate in calculation and endurance and cannot adopt an optimal mode when automatic driving is started are solved.
Description
Technical Field
The application relates to the technical field of automobiles, in particular to a control method and device of an extended range electric automobile, the electric automobile and a storage medium.
Background
The automatic driving technology not only releases the driver from boring driving work, but also improves the driving safety and comfort, and the automatic driving has become the necessary trend of the automobile technology development. The automatic driving system consumes a certain amount of energy, and meanwhile, the driving habits of the automatic driving system and a driver are different, so that the calculation of the automobile provided with the automatic driving system in the continuous voyage is different from the traditional calculation method, and the calculation of the extended range electric automobile in the continuous voyage provided with the automatic driving system is particularly obvious because of the complexity of energy supply. The existing extended range electric automobile with the automatic driving function does not consider the influence of an introduced automatic driving system on energy consumption during calculation of endurance, and also does not consider the influence caused by energy supply mode and driving mode change, so that an optimal mode cannot be recommended during starting of automatic driving, and the automatic driving system cannot be adapted.
Disclosure of Invention
In view of the above, the embodiments of the present application provide a control method and apparatus for an extended-range electric vehicle, an electric vehicle, and a storage medium, so as to solve the problems in the prior art that the extended-range electric vehicle is not accurate in calculation and cannot adopt an optimal mode when automatic driving is started.
In a first aspect of the embodiment of the present application, a control method for an extended-range electric vehicle is provided, including: counting driving distances of the target object driving range-extending electric automobile on various road sections within a first preset mileage recently, starting automatic driving and not starting automatic driving on various road sections, and adopting various combination modes when the automatic driving and not starting automatic driving on various road sections, wherein the combination modes comprise a driving mode and an energy supply mode of the range-extending electric automobile; according to the energy consumption of the target object driving range-extending electric automobile in various combination modes when the automatic driving is started and the automatic driving is not started on various road sections within a second preset mileage, calculating the average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started on various road sections; under the condition that the target object driving range-extending electric automobile does not use navigation, determining the residual duration of the target object driving range-extending electric automobile according to statistical information and average energy consumption when various combined modes are adopted when various road sections are started to automatically drive and are not started to automatically drive; under the condition that the target object drives the extended range electric automobile to use navigation, determining an optimal control combination of various road sections according to average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started respectively, and determining navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and the optimal control combination of various road sections, wherein the optimal control combination comprises an optimal combination mode adopted when the automatic driving is started or an optimal combination mode adopted when the automatic driving is not started.
In a second aspect of the embodiment of the present application, a control device for an extended-range electric vehicle is provided, including: the system comprises a statistics module, a control module and a control module, wherein the statistics module is configured to count driving distances of a target object driving range-increasing electric vehicle on various road sections within a latest first preset mileage, the ratio of starting automatic driving and not starting automatic driving on various road sections, and the ratio of adopting various combination modes when the automatic driving is started and not started on various road sections, wherein the combination modes comprise a driving mode and an energy supply mode of the range-increasing electric vehicle; the calculation module is configured to calculate average energy consumption when the target object driving range-extending electric automobile respectively adopts various combination modes when the target object driving range-extending electric automobile starts automatic driving and does not start automatic driving on various road sections within a second preset mileage; the first determining module is configured to determine the remaining duration of the target object driving range-extending electric automobile according to the statistical information and average energy consumption when various combined modes are adopted when various road sections are started to automatically drive and are not started to automatically drive under the condition that the target object driving range-extending electric automobile does not use navigation; the second determining module is configured to determine an optimal control combination at each road section according to average energy consumption when each road section is in automatic driving starting and automatic driving non-starting respectively under the condition that the target object drives the extended range electric automobile to use navigation, and determine navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and the optimal control combination at each road section, wherein the optimal control combination comprises an optimal combination mode adopted when the automatic driving is started or an optimal combination mode adopted when the automatic driving is not started.
In a third aspect of the embodiments of the present application, a range-extended electric vehicle is provided, which includes a memory, a main control module, and a computer program stored in the memory and capable of running on the main control module, where the main control module implements the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present application, there is provided a computer-readable storage medium storing a computer program which, when executed by a processor, performs the steps of the above method.
Compared with the prior art, the embodiment of the application has the beneficial effects that: under the condition that the target object driving range-extending electric automobile does not use navigation, determining the remaining duration of the target object driving range-extending electric automobile according to the historical habit information of the counted target object driving range-extending electric automobile and the average energy consumption when various combined modes are adopted when various road sections are started to automatically drive and are not started to automatically drive; under the condition that the target object drives the extended range electric automobile to use navigation, the optimal control combination of various road sections is determined according to the average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started on various road sections, and the navigation energy consumption corresponding to the navigation is determined according to the road information corresponding to the navigation and the optimal control combination of various road sections.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a control method of an extended range electric vehicle according to an embodiment of the present application;
fig. 2 is a flow chart of a method for calculating a remaining duration of a range-extending electric vehicle during navigation according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a control device of an extended-range electric vehicle according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an extended range electric vehicle according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
Fig. 1 is a flow chart of a control method of an extended-range electric vehicle according to an embodiment of the present application. The control method of the extended-range electric vehicle of fig. 1 may be executed by a computer or a server, or a main control module provided on the computer or the server, or software on the computer or a general server. The control method of the extended range electric automobile comprises the following steps:
s101, counting driving distances of the target object driving range-extending electric automobile on various road sections within a first preset mileage recently, starting automatic driving and not starting automatic driving on various road sections, and adopting various combination modes when the automatic driving and not starting automatic driving on various road sections, wherein the combination modes comprise a driving mode and an energy supply mode of the range-extending electric automobile;
s102, calculating average energy consumption when various road sections are driven automatically and not driven automatically according to energy consumption when various road sections are driven automatically and not driven automatically by the target object driving range-extending electric vehicle in various road sections within a second preset mileage;
s103, under the condition that the target object driving range-extending electric automobile does not use navigation, determining the residual duration of the target object driving range-extending electric automobile according to statistical information and average energy consumption when various combination modes are adopted when various road sections are started to automatically drive and are not started to automatically drive;
S104, under the condition that the target object drives the extended range electric automobile to use navigation, determining an optimal control combination of various road sections according to average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started respectively, and determining navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and the optimal control combination of various road sections, wherein the optimal control combination comprises an optimal combination mode adopted when the automatic driving is started or an optimal combination mode adopted when the automatic driving is not started.
Specifically: for example, the first preset mileage is 100 km, and the statistical information is obtained by counting the historical data of the latest 100 km of the target object driving extended-range electric vehicle. Road segments have various dividing methods, such as various road segments including expressways, urban roads, suburban roads, and the like; such as various road sections including a turning road section, a downhill road section, an uphill road section, and a straight flat road section, and various road sections in the weather of fog, rain, snow, sand, and hail; such as various road segments including expressways, primary highways, secondary highways, tertiary highways, and quaternary highways. The ratio of automatic driving and non-automatic driving on various road sections and the ratio of various combination modes adopted when automatic driving and non-automatic driving are respectively carried out on various road sections are all numbers larger than zero and smaller than one, and the ratio of each selection is the ratio of the selection to all selections. The driving mode includes a sport mode, a comfort mode, an energy saving mode, and the like, the energy supply mode includes electric drive and fuel drive, and if the driving mode is 3 kinds, the energy supply mode is 2 kinds, and the combined mode has 6 kinds in total.
For example, the second preset mileage is 10 km, for average energy consumption when various combination modes are adopted when automatic driving is started and automatic driving is not started in a road section, the average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started in the mileage of the last 10 km in the road section of the target object driving range-increasing electric vehicle is counted, and the average energy consumption can be understood to be obtained according to historical information statistics.
Under the condition that navigation is not used, estimating the residual duration of the target object driving range-extending electric vehicle according to the statistical information and each average energy consumption; under the condition of using navigation, determining optimal control combinations on various road sections according to each average energy consumption, further controlling the extended range electric vehicle by adopting the optimal control combinations on various road sections, determining navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and the optimal control combinations on various road sections, and further calculating the residual electric quantity and the residual oil quantity after the navigation is finished.
Further, the history data of the latest first preset mileage and the history data of the second preset mileage are updated in real time, and each time the target object drives the extended-range electric vehicle to generate a new mileage, the history data of the latest first preset mileage and the history data of the second preset mileage are updated.
According to the technical scheme provided by the embodiment of the application, the driving distance of the target object driving range-extending electric automobile on various road sections within the latest first preset mileage, the ratio of starting automatic driving and not starting automatic driving on various road sections, and the ratio of adopting various combined modes when starting automatic driving and not starting automatic driving on various road sections are counted, wherein the combined modes comprise a driving mode and an energy supply mode of the range-extending electric automobile; according to the energy consumption of the target object driving range-extending electric automobile in various combination modes when the automatic driving is started and the automatic driving is not started on various road sections within a second preset mileage, calculating the average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started on various road sections; under the condition that the target object driving range-extending electric automobile does not use navigation, determining the residual duration of the target object driving range-extending electric automobile according to statistical information and average energy consumption when various combined modes are adopted when various road sections are started to automatically drive and are not started to automatically drive; under the condition that the target object drives the extended range electric automobile to use navigation, determining an optimal control combination of various road sections according to average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started respectively, and determining navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and the optimal control combination of various road sections, wherein the optimal control combination comprises an optimal combination mode adopted when the automatic driving is started or an optimal combination mode adopted when the automatic driving is not started. By adopting the technical means, the problems that the calculation of the range-extending electric automobile is inaccurate and the optimal mode cannot be adopted when the automatic driving is started in the prior art can be solved, so that the accuracy of calculation of the range-extending electric automobile is improved, the energy conservation and the comfort after the automatic driving is started are improved, and the user satisfaction is improved.
Fig. 2 is a flow chart of a method for calculating remaining duration of a range-extending electric vehicle during navigation according to an embodiment of the present application, as shown in fig. 2, including:
s201, calculating the average energy consumption of each corresponding road section when the automatic driving is started and the automatic driving is not started according to the proportion of each combination mode adopted when the automatic driving is started and the automatic driving is not started in each road section and the average energy consumption in the combination mode;
s202, calculating the average energy consumption of the whole vehicle corresponding to the target object driving range-increasing electric automobile according to the driving distance on various road sections, the ratio of automatic driving starting and automatic driving non-starting on various road sections and the average energy consumption of the road sections corresponding to each of the automatic driving starting and the automatic driving non-starting on various road sections;
and S203, calculating the remaining endurance according to the average energy consumption of the whole vehicle, the remaining electric quantity of the extended range electric vehicle and the remaining oil quantity.
The average energy consumption when various combination modes are adopted is the same as the average energy consumption in various combination modes.
Further, the average energy consumption of the road segments corresponding to the automatic driving of the various road segments is calculated according to the proportion of the various combination modes adopted when the automatic driving of the various road segments is started and the average energy consumption in the combination modes through the following formula:
；
Wherein Ti is average energy consumption of the road section corresponding to the automatic driving of the ith road section, qiaj is the proportion of the jth combination mode adopted when the automatic driving of the ith road section is started, sij is average energy consumption when the jth combination mode is adopted when the automatic driving of the ith road section is started, and n is the number of the types of the combination modes.
Further, the average energy consumption of the road segments corresponding to the non-automatic driving of the road segments is calculated according to the proportion of the various combination modes adopted when the non-automatic driving of the road segments is not started and the average energy consumption in the combination modes through the following formula:
；
wherein Ri is average energy consumption of a road section corresponding to the i-th road section when automatic driving is not started, wij is a proportion of adopting the j-th combination mode when automatic driving is not started on the i-th road section, cij is average energy consumption of adopting the j-th combination mode when automatic driving is not started on the i-th road section, and n is the number of the types of the combination modes.
Further, the average energy consumption of the whole vehicle corresponding to the target object driving range-increasing electric vehicle is calculated according to the driving distance on various road sections, the ratio of automatic driving and non-automatic driving on various road sections, and the average energy consumption of the road sections corresponding to each of the automatic driving and non-automatic driving on various road sections by the following formulas:
；
Wherein B is the average energy consumption of the whole vehicle, ti is the average energy consumption of the road section corresponding to the i-th road section when the automatic driving is started, yi is the ratio of the i-th road section when the automatic driving is started, ri is the average energy consumption of the road section corresponding to the i-th road section when the automatic driving is not started, zi is the ratio of the i-th road section when the automatic driving is not started, xi is the driving distance on the i-th road section, and m is the number of road section types.
Further, calculating the remaining endurance according to the average energy consumption of the whole vehicle, the remaining power and the remaining oil of the extended range electric vehicle, including: and the electric drive duration is equal to the ratio of the residual electric quantity to the average energy consumption of the whole vehicle, the fuel drive duration is equal to the ratio of the residual oil quantity to the average energy consumption of the whole vehicle, and the sum of the electric drive duration and the fuel drive duration is taken as the residual duration.
Through the above technical means, a total of X, Y, Z, Q, W, S, C seven parameters are obtained, X, Y, Z, Q, W, S, C respectively represents the driving distance on the road section, the proportion of the road section for starting automatic driving, the proportion of the road section for not starting automatic driving, the proportion of the road section for adopting the combination mode when not starting automatic driving, the average energy consumption of the road section for adopting the combination mode when starting automatic driving, and the average energy consumption of the road section for adopting the combination mode when not starting automatic driving.
Further, when the first driver is identified, namely, initially, X, Y, Z, Q, W, S, C of big data is used as an initial value, the average energy consumption B1 of the whole vehicle of the first driver is estimated, and cruising is calculated to be displayed initially; when a new driver ID is identified, initial display is performed, average energy consumption estimation is performed according to X, Y, Z (each driver data integration is performed according to the recorded distance), Q, W, S, C (each driver data integration is performed according to the recorded distance) and the average energy consumption of the whole vehicle recorded by big data is weighted according to the ratio of 50% and 50% when the recorded data of each driver is initially recorded in Q, W, S, C (each driver data integration is performed according to the recorded distance), and the average energy consumption of the whole vehicle is estimated, so that the average energy consumption B2 (2, 3,4, …) of the whole vehicle is calculated and the continuous voyage is performed for initial display; after the new driver has the actual driving distance, gradually replacing X, Y, Z by taking the first preset mileage as a reference each time; each road section takes the second preset mileage as a reference to gradually replace Q, W, S, C; the average driving energy consumption B2 (2, 3,4 and … of the whole vehicle is bound with the driver ID) is updated in a rolling way.
Further, under the condition that the target object drives the extended range electric automobile to use navigation, the corresponding combination mode when the automatic driving is started or the automatic driving is not started, which has the smallest average energy consumption in various combination modes in various road sections, is determined to be the optimal control combination of the various road sections; and determining navigation energy consumption corresponding to the current navigation according to the average energy consumption of the optimal control combination of the path of the current navigation corresponding to various road sections and the optimal control combination of the various road sections, wherein the road information corresponding to the current navigation comprises the path of the current navigation corresponding to various road sections and the path of the various road sections.
And calculating the product of the path of each road section and the average energy consumption of the optimal control combination of the road sections, and taking the product corresponding to all road sections as the navigation energy consumption corresponding to the navigation.
For example, for a certain road section, among various combination modes adopted when automatic driving is started and various combination modes adopted when automatic driving is not started, the combination mode adopted when automatic driving is not started is the best control combination of the road section, and the combination mode adopted when automatic driving is not started is the smallest average energy consumption.
Optionally, the range-extending electric automobile is controlled in the navigation according to the average energy consumption of the optimal control combination of various road sections.
Further, in the case of the target object driving range-extending electric vehicle using navigation, the best mode combination when the automatic driving is started and the automatic driving is not started in various road sections is determined according to the average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started in various road sections; and determining navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and an optimal mode combination when the automatic driving is started and not started on various road sections, wherein the optimal mode combination comprises an optimal combination mode adopted when the automatic driving is started and not started on various road sections, the optimal combination mode adopted when the automatic driving is started and not started on various road sections is the lowest average energy consumption in various combination modes adopted when the automatic driving is started and not started on various road sections, and whether the automatic driving is started on various road sections is determined according to instructions or driving habits of target objects.
The optimal combination mode adopted when various road sections are driven automatically and not driven automatically is the combination mode with the lowest average energy consumption when various road sections are driven automatically and not driven automatically.
And calculating the product of the distance of each road section and the average energy consumption of the optimal mode combination when the road section starts automatic driving and does not start automatic driving, and taking the product corresponding to all road sections as the navigation energy consumption corresponding to the navigation.
Optionally, the range-extending electric automobile is controlled in the navigation according to the average energy consumption of the best mode combination of various road sections.
Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein.
The following are examples of the apparatus of the present application that may be used to perform the method embodiments of the present application. For details not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the method of the present application.
Fig. 3 is a schematic diagram of a control device of an extended-range electric vehicle according to an embodiment of the present application. As shown in fig. 3, the control device for an extended range electric vehicle includes:
a statistics module 301 configured to count driving distances of the target object driving extended range electric vehicle on various road segments within a recent first preset mileage, a ratio of automatic driving on various road segments to automatic driving not to automatic driving on various road segments, and a ratio of various combination modes respectively adopted when automatic driving on various road segments and automatic driving not to automatic driving on various road segments, wherein the combination modes include a driving mode and an energy supply mode of the extended range electric vehicle;
A calculating module 302 configured to calculate average energy consumption when each road section is driven automatically and not driven automatically according to energy consumption when each road section is driven automatically and not driven automatically by the target object driving range-increasing electric vehicle in each road section within a second preset mileage;
a first determining module 303 configured to determine, in a case where the target object driving range-extending electric vehicle does not use navigation, a remaining range of the target object driving range-extending electric vehicle according to the statistical information and average energy consumption when various combination modes are respectively adopted when the automatic driving is started and when the automatic driving is not started at various road sections;
the second determining module 304 is configured to determine, when the target object drives the extended range electric automobile to use navigation, an optimal control combination at each road segment according to average energy consumption when each of various combination modes is adopted when each road segment starts automatic driving and does not start automatic driving, and determine navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and the optimal control combination at each road segment, where the optimal control combination includes an optimal combination mode adopted when automatic driving is started or an optimal combination mode adopted when automatic driving is not started.
Further, the history data of the latest first preset mileage and the history data of the second preset mileage are updated in real time, and each time the target object drives the extended-range electric vehicle to generate a new mileage, the history data of the latest first preset mileage and the history data of the second preset mileage are updated.
According to the technical scheme provided by the embodiment of the application, the driving distance of the target object driving range-extending electric automobile on various road sections within the latest first preset mileage, the ratio of starting automatic driving and not starting automatic driving on various road sections, and the ratio of adopting various combined modes when starting automatic driving and not starting automatic driving on various road sections are counted, wherein the combined modes comprise a driving mode and an energy supply mode of the range-extending electric automobile; according to the energy consumption of the target object driving range-extending electric automobile in various combination modes when the automatic driving is started and the automatic driving is not started on various road sections within a second preset mileage, calculating the average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started on various road sections; under the condition that the target object driving range-extending electric automobile does not use navigation, determining the residual duration of the target object driving range-extending electric automobile according to statistical information and average energy consumption when various combined modes are adopted when various road sections are started to automatically drive and are not started to automatically drive; under the condition that the target object drives the extended range electric automobile to use navigation, determining an optimal control combination of various road sections according to average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started respectively, and determining navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and the optimal control combination of various road sections, wherein the optimal control combination comprises an optimal combination mode adopted when the automatic driving is started or an optimal combination mode adopted when the automatic driving is not started. By adopting the technical means, the problems that the calculation of the range-extending electric automobile is inaccurate and the optimal mode cannot be adopted when the automatic driving is started in the prior art can be solved, so that the accuracy of calculation of the range-extending electric automobile is improved, the energy conservation and the comfort after the automatic driving is started are improved, and the user satisfaction is improved.
In some embodiments, the first determining module 303 is further configured to calculate average energy consumption of each corresponding road segment when the various road segments are driven automatically and not driven automatically according to the proportion of each of the various combination modes used when the various road segments are driven automatically and not driven automatically and the average energy consumption in the combination mode; calculating the average energy consumption of the whole vehicle corresponding to the target object driving range-increasing electric vehicle according to the driving distance on various road sections, the ratio of starting automatic driving and not starting automatic driving on various road sections and the average energy consumption of the road sections corresponding to each of the automatic driving and not starting automatic driving on various road sections; and calculating the residual endurance according to the average energy consumption of the whole vehicle, the residual electric quantity and the residual oil quantity of the extended range electric vehicle.
In some embodiments, the first determining module 303 is further configured to calculate the average energy consumption of the road segment corresponding to when the various road segments are turned on for automatic driving according to the ratio of the various combination modes used when the various road segments are turned on for automatic driving and the average energy consumption in the combination modes by the following formula:
；
wherein Ti is average energy consumption of the road section corresponding to the automatic driving of the ith road section, qiaj is the proportion of the jth combination mode adopted when the automatic driving of the ith road section is started, sij is average energy consumption when the jth combination mode is adopted when the automatic driving of the ith road section is started, and n is the number of the types of the combination modes.
In some embodiments, the first determining module 303 is further configured to calculate the average energy consumption of the corresponding road segments when the various road segments do not turn on automatic driving according to the proportions of the various combining modes used when the various road segments do not turn on automatic driving and the average energy consumption in the combining modes by the following formula:
；
wherein Ri is average energy consumption of a road section corresponding to the i-th road section when automatic driving is not started, wij is a proportion of adopting the j-th combination mode when automatic driving is not started on the i-th road section, cij is average energy consumption of adopting the j-th combination mode when automatic driving is not started on the i-th road section, and n is the number of the types of the combination modes.
In some embodiments, the first determining module 303 is further configured to calculate the average energy consumption of the whole vehicle corresponding to the target object driving range-increasing electric vehicle according to the driving distance on various road segments, the ratio of automatic driving on various road segments to non-automatic driving on various road segments, and the average energy consumption of the road segments corresponding to each of the automatic driving on various road segments and the non-automatic driving on various road segments by the following formula:
；
wherein B is the average energy consumption of the whole vehicle, ti is the average energy consumption of the road section corresponding to the i-th road section when the automatic driving is started, yi is the ratio of the i-th road section when the automatic driving is started, ri is the average energy consumption of the road section corresponding to the i-th road section when the automatic driving is not started, zi is the ratio of the i-th road section when the automatic driving is not started, xi is the driving distance on the i-th road section, and m is the number of road section types.
In some embodiments, the first determining module 303 is further configured to determine the sum of the electric drive duration and the fuel drive duration as the remaining duration, where the electric drive duration is equal to a ratio of the remaining electric quantity to the average energy consumption of the whole vehicle, and the fuel drive duration is equal to a ratio of the remaining oil quantity to the average energy consumption of the whole vehicle.
In some embodiments, the second determining module 304 is further configured to determine, as the optimal control combination of the various road segments, a corresponding combination mode when automatic driving is turned on or automatic driving is not turned on, in which average energy consumption is the smallest in the various combination modes in the various road segments, in the case that the target object drives the extended range electric vehicle to use navigation; and determining navigation energy consumption corresponding to the current navigation according to the average energy consumption of the optimal control combination of the path of the current navigation corresponding to various road sections and the optimal control combination of the various road sections, wherein the road information corresponding to the current navigation comprises the path of the current navigation corresponding to various road sections and the path of the various road sections.
In some embodiments, the second determination module 304 is further configured to determine, in the case of the target object driving extended range electric vehicle using navigation, a best mode combination when the various road segments are automatically driven and not automatically driven according to average energy consumption when the various combination modes are respectively employed when the various road segments are automatically driven and not automatically driven; and determining navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and an optimal mode combination when the automatic driving is started and not started on various road sections, wherein the optimal mode combination comprises an optimal combination mode adopted when the automatic driving is started and not started on various road sections, the optimal combination mode adopted when the automatic driving is started and not started on various road sections is the lowest average energy consumption in various combination modes adopted when the automatic driving is started and not started on various road sections, and whether the automatic driving is started on various road sections is determined according to instructions or driving habits of target objects.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
Fig. 4 is a schematic diagram of an extended range electric vehicle 4 according to an embodiment of the present disclosure. As shown in fig. 4, the extended-range electric vehicle 4 of this embodiment includes: a main control module 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the main control module 401. The main control module 401, when executing the computer program 403, implements the steps in the above-described method embodiments. Alternatively, the main control module 401 implements the functions of the modules/units in the above-described device embodiments when executing the computer program 403.
The extended range electric vehicle 4 may include, but is not limited to, a main control module 401 and a memory 402. It will be appreciated by those skilled in the art that fig. 4 is merely an example of an extended range electric vehicle 4 and is not limiting of the extended range electric vehicle 4, and may include more or fewer components than shown, or different components.
The memory 402 may be an internal storage unit of the extended-range electric vehicle 4, for example, a hard disk or a memory of the extended-range electric vehicle 4. The memory 402 may be an external storage device of the extended-range electric vehicle 4, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like provided on the extended-range electric vehicle 4. The memory 402 may also include both internal storage units and external storage devices of the extended range electric vehicle 4. The memory 402 is used for storing computer programs and other programs and data required by the extended-range electric vehicle.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of the method embodiments when executed by the main control module. The computer program may comprise computer program code, which may be in source code form, object code form, executable file or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. The control method of the extended range electric automobile is characterized by comprising the following steps of:
counting driving distances of the target object driving range-increasing electric automobile on various road sections within a first preset mileage recently, starting automatic driving and not starting automatic driving on various road sections, and adopting various combination modes when the automatic driving and not starting automatic driving on various road sections, wherein the combination modes comprise a driving mode and an energy supply mode of the range-increasing electric automobile;
according to the energy consumption of the target object driving range-extending electric automobile in various combination modes when the automatic driving is started and the automatic driving is not started on various road sections within a second preset mileage, calculating the average energy consumption when various combination modes are adopted when the automatic driving is started and the automatic driving is not started on various road sections;
Under the condition that the target object drives the extended range electric automobile without using navigation, determining the residual endurance of the target object for driving the extended range electric automobile according to statistical information and average energy consumption when various combined modes are adopted when various road sections are started for automatic driving and when the automatic driving is not started;
under the condition that the target object drives the extended range electric automobile to use navigation, determining an optimal control combination of various road sections according to average energy consumption when various combination modes are adopted when various road sections start automatic driving and do not start automatic driving, and determining navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and the optimal control combination of various road sections, wherein the optimal control combination comprises an optimal combination mode adopted when the automatic driving is started or an optimal combination mode adopted when the automatic driving is not started.
2. The method of claim 1, wherein determining the remaining endurance of the target object to drive the extended range electric vehicle based on the statistical information and average energy consumption when various combined modes are respectively employed when various road segments are on automatic driving and when automatic driving is not on, comprises:
Calculating average energy consumption of each corresponding road section when the automatic driving is started and the automatic driving is not started according to the proportion of each combination mode adopted when the automatic driving is started and the automatic driving is not started in each road section and the average energy consumption in the combination mode;
calculating the average energy consumption of the whole vehicle corresponding to the range-extended electric automobile driven by the target object according to the driving distance on various road sections, the ratio of automatic driving starting and automatic driving non-starting on various road sections and the average energy consumption of the road sections corresponding to each of the automatic driving starting and the automatic driving non-starting on various road sections;
and calculating the residual endurance according to the average energy consumption of the whole vehicle, the residual electric quantity and the residual oil quantity of the extended range electric vehicle.
3. The method according to claim 2, wherein the average energy consumption of the road segments corresponding to the automatic driving of the various road segments is calculated based on the proportion of the various combination modes used when the automatic driving of the various road segments is started and the average energy consumption in the combination modes:
；
wherein Ti is average energy consumption of the road section corresponding to the automatic driving of the ith road section, qiaj is the proportion of the jth combination mode adopted when the automatic driving of the ith road section is started, sij is average energy consumption when the jth combination mode is adopted when the automatic driving of the ith road section is started, and n is the number of the types of the combination modes.
4. The method according to claim 2, wherein the average energy consumption of the road segments corresponding to the non-automatic driving of the road segments is calculated based on the proportion of the various combination modes used when the non-automatic driving of the road segments and the average energy consumption in the combination modes:
；
wherein Ri is average energy consumption of a road section corresponding to the i-th road section when automatic driving is not started, wij is a proportion of adopting the j-th combination mode when automatic driving is not started on the i-th road section, cij is average energy consumption of adopting the j-th combination mode when automatic driving is not started on the i-th road section, and n is the number of the types of the combination modes.
5. The method according to claim 2, wherein the average energy consumption of the whole vehicle corresponding to the target object driving the extended range electric vehicle is calculated according to driving distances on various road segments, the ratio of automatic driving on various road segments to automatic driving not to automatic driving on various road segments, and the average energy consumption of the road segments corresponding to each of automatic driving on various road segments and automatic driving not to automatic driving on various road segments:
；
wherein B is the average energy consumption of the whole vehicle, ti is the average energy consumption of the road section corresponding to the i-th road section when automatic driving is started, yi is the ratio of the i-th road section when automatic driving is started, ri is the average energy consumption of the road section corresponding to the i-th road section when automatic driving is not started, zi is the ratio of the i-th road section when automatic driving is not started, xi is the driving distance on the i-th road section, and m is the number of road section types.
6. The method according to claim 1, wherein in the case where the target object drives the extended range electric vehicle using navigation, a corresponding combination mode when automatic driving is turned on or automatic driving is not turned on, in which average energy consumption is smallest in various combination modes in various road sections, is determined as an optimal control combination of the various road sections;
and determining navigation energy consumption corresponding to the current navigation according to the average energy consumption of the optimal control combination of the paths of the various road sections corresponding to the current navigation and the various road sections, wherein the road information corresponding to the current navigation comprises the paths of the various road sections corresponding to the current navigation and the various road sections.
7. The method according to claim 1, wherein in the case where the target object drives the extended range electric vehicle using navigation, the best mode combination when the automatic driving is turned on and the automatic driving is not turned on for the various road segments is determined based on average energy consumption when the various combination modes are employed when the automatic driving is turned on and the automatic driving is not turned on for the various road segments, respectively;
and determining navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and an optimal mode combination when the automatic driving is started and not started on various road sections, wherein the optimal mode combination comprises an optimal combination mode adopted when the automatic driving is started and not started on various road sections, the optimal combination mode adopted when the automatic driving is started and not started on various road sections is the lowest average energy consumption in various combination modes adopted when the automatic driving is started and not started on various road sections, and whether the automatic driving is started on various road sections is determined according to the instruction or the driving habit of the target object.
8. A control device for a range-extending electric vehicle, comprising:
a statistics module configured to count driving distances of the target object driving range-extended electric vehicle on various road segments within a recent first preset mileage, a ratio of automatic driving on various road segments to automatic driving not to automatic driving on various road segments, and a ratio of various combination modes adopted when automatic driving on various road segments and automatic driving not to automatic driving on various road segments, wherein the combination modes include a driving mode and an energy supply mode of the range-extended electric vehicle;
the calculation module is configured to calculate average energy consumption when the target object driving range-extending electric automobile respectively adopts various combination modes when the target object driving range-extending electric automobile starts automatic driving and does not start automatic driving on various road sections within a second preset mileage;
the first determining module is configured to determine the remaining duration of the target object driving the extended range electric automobile according to statistical information and average energy consumption when various combined modes are adopted when various road sections are started to automatically drive and are not started to automatically drive under the condition that the target object is driving the extended range electric automobile without using navigation;
The second determining module is configured to determine an optimal control combination at each road section according to average energy consumption when each road section is in automatic driving starting or automatic driving non-starting when each road section is in automatic driving starting under the condition that the target object drives the extended range electric automobile to use navigation, and determine navigation energy consumption corresponding to the navigation according to road information corresponding to the navigation and the optimal control combination at each road section, wherein the optimal control combination comprises an optimal combination mode used when the automatic driving is started or an optimal combination mode used when the automatic driving is not started.
9. An extended range electric vehicle, comprising a memory, a main control module and a computer program stored in the memory and operable on the main control module, the main control module implementing the steps of the method according to any one of claims 1 to 7 when executing the computer program.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 7.
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Effective date of registration: 20240115 Address after: No. 13 Xingxiang Road, Zengjia Town, High tech Zone, Shapingba District, Chongqing, 400039 Patentee after: Chongqing Selis Phoenix Intelligent Innovation Technology Co.,Ltd. Address before: 610095 No. 2901, floor 29, unit 1, building 1, No. 151, Tianfu Second Street, high tech Zone, China (Sichuan) pilot Free Trade Zone, Chengdu, Sichuan Province Patentee before: Chengdu Thalys Technology Co.,Ltd. |