CN113815423B - Energy feedback control method and device for electric automobile and vehicle - Google Patents
Energy feedback control method and device for electric automobile and vehicle Download PDFInfo
- Publication number
- CN113815423B CN113815423B CN202111166244.3A CN202111166244A CN113815423B CN 113815423 B CN113815423 B CN 113815423B CN 202111166244 A CN202111166244 A CN 202111166244A CN 113815423 B CN113815423 B CN 113815423B
- Authority
- CN
- China
- Prior art keywords
- vehicle
- feedback
- current
- energy consumption
- mileage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000005265 energy consumption Methods 0.000 claims description 160
- 230000007613 environmental effect Effects 0.000 claims description 23
- 239000011159 matrix material Substances 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 11
- 230000003068 static effect Effects 0.000 claims description 10
- 238000001914 filtration Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- 238000011084 recovery Methods 0.000 abstract description 5
- 238000011217 control strategy Methods 0.000 description 21
- 238000001816 cooling Methods 0.000 description 14
- 230000008569 process Effects 0.000 description 10
- 238000004590 computer program Methods 0.000 description 8
- 238000010438 heat treatment Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 7
- 230000006872 improvement Effects 0.000 description 7
- 238000012937 correction Methods 0.000 description 6
- 230000009467 reduction Effects 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 208000019901 Anxiety disease Diseases 0.000 description 3
- 230000036506 anxiety Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 239000010426 asphalt Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000000295 fuel oil Substances 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000005381 potential energy Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- 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
- B60L7/00—Electrodynamic brake systems for vehicles in general
- B60L7/10—Dynamic electric regenerative braking
-
- 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
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/12—Recording operating variables ; Monitoring of operating variables
-
- 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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/60—Navigation input
- B60L2240/66—Ambient conditions
-
- 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/60—Navigation input
- B60L2240/68—Traffic data
-
- 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
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/52—Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention provides an energy feedback control method and device for an electric automobile and a vehicle, wherein the method comprises the following steps: in a vehicle navigation mode, obtaining a navigation route of a vehicle according to the current position of the vehicle and a preset target position, and segmenting the navigation route to obtain a plurality of road sections; calculating the driving mileage according to the current environment information of the vehicle, the current running state of the vehicle and the current residual energy of the vehicle; when the driving mileage is less than or equal to the current display mileage of the vehicle, selecting one brake feedback gear from a plurality of preset brake feedback gears according to the corresponding road conditions when the vehicle drives to the current road section, so that the vehicle can carry out energy feedback on the current road section according to the selected brake feedback gear; according to the invention, the navigation route is segmented according to the display mileage target, and the energy recovery state is automatically adjusted according to the road condition of each road section, so that the energy is saved, and the achievement of the mileage target is promoted.
Description
Technical Field
The present invention relates to the field of automotive technologies, and in particular, to an energy feedback control method and apparatus for an electric automobile, and a vehicle.
Background
With the increasingly prominent world environmental protection problem and energy crisis, new energy electric vehicles with the characteristics of fuel oil energy conservation, low exhaust emission, less pollution, low noise and the like become pursued targets of people. Currently, development and popularization of electric vehicles face many challenges, and in particular, limitations of battery technology still make driving range a major obstacle for development of electric vehicles. The energy feedback technology can recover part of energy in the stage of vehicle sliding and braking, so that the driving mileage of the vehicle and the utilization rate of the whole vehicle energy can be greatly improved.
The existing energy feedback technology is based on hybrid power and electric vehicles, when the vehicle is decelerated and braked, the motion energy is not changed into heat energy through a braking system, but the heat energy can be converted into electric energy by utilizing a motor to be stored in a battery for driving the vehicle to run. At present, the energy feedback of the vehicle does not carry out braking feedback according to the actual condition of driving, and the energy waste is caused.
Disclosure of Invention
In view of the above problems, the present invention aims to provide an energy feedback control method and device for an electric vehicle, and a vehicle, which fully consider road conditions in a driving process, save energy, and promote achievement of a driving mileage.
In a first aspect, an embodiment of the present invention provides an energy feedback control method for an electric vehicle, including:
in a vehicle navigation mode, obtaining a navigation route of a vehicle according to the current position of the vehicle and a preset target position, and segmenting the navigation route to obtain a plurality of road sections; wherein road conditions of two adjacent road sections are different;
calculating the driving mileage according to the current environment information of the vehicle, the current running state of the vehicle and the current residual energy of the vehicle;
when the driving range is smaller than or equal to the current display range of the vehicle, selecting one braking feedback gear from a plurality of preset braking feedback gears according to the corresponding road conditions when the vehicle drives to the current road section, so that the vehicle can carry out energy feedback according to the selected braking feedback gear in the current road section.
As an improvement of the above solution, the calculating the driving range according to the current environmental information of the vehicle, the current running state of the vehicle and the current remaining energy of the vehicle includes:
acquiring the reference energy consumption of the vehicle in the current vehicle running state and the current environment information according to a preset reference energy consumption model; the reference energy consumption model is obtained by correcting the actual energy consumption of the vehicle under different vehicle running states and environment information;
And calculating the driving mileage according to the reference energy consumption and the current residual energy of the vehicle.
As an improvement of the above-mentioned scheme, the reference energy consumption model includes a reference energy consumption curve corresponding to the running state of the vehicle and a reference energy consumption matrix corresponding to the environmental information;
the method further comprises:
correcting the reference energy consumption curve according to the actual energy consumption of the vehicle in different vehicle running states;
and correcting the reference energy consumption matrix according to the actual energy consumption of the vehicle under different environmental information.
As an improvement of the above solution, the obtaining, according to a preset reference energy consumption model, the reference energy consumption of the vehicle in the current vehicle running state and the current environmental information includes:
acquiring dynamic reference energy consumption of the vehicle in the current vehicle running state according to the corrected reference energy consumption curve;
acquiring static reference energy consumption of the vehicle under the current environmental information according to the corrected reference energy consumption matrix;
and obtaining the reference energy consumption according to the dynamic reference energy consumption and the static reference energy consumption.
As an improvement of the above solution, the calculating the driving range according to the reference energy consumption and the current remaining energy of the vehicle includes:
Obtaining an estimated mileage according to the reference energy consumption and the current residual energy of the vehicle;
filtering the estimated mileage;
according to the change rule of the driving mileage of the vehicle before the current moment, the refreshing time and the refreshing step length are adjusted;
the filtered estimated mileage is adjusted according to the adjusted refreshing time and refreshing step length;
judging whether the adjusted estimated mileage is reasonable or not;
and when the adjusted estimated mileage is judged to be reasonable, the adjusted estimated mileage is taken as the driving mileage.
As an improvement of the scheme, the judging whether the adjusted estimated mileage is reasonable comprises the following steps:
judging whether the adjusted estimated mileage falls in a corresponding mileage interval or not; the upper limit of the mileage interval is calculated according to the minimum energy consumption of the vehicle in the current running state and the current environment information, and the lower limit of the mileage interval is calculated according to the maximum energy consumption in the current running state;
if yes, judging that the adjusted estimated mileage is reasonable;
if not, judging that the estimated mileage after adjustment is unreasonable.
As an improvement of the above solution, when the vehicle travels to the current road section, according to the road condition corresponding to the vehicle, one brake feedback gear is selected from a plurality of preset brake feedback gears, so that the vehicle performs energy feedback on the current road section according to the selected brake feedback gear, including:
When the vehicle runs to the current road section, selecting a brake feedback gear from a plurality of preset brake feedback gears according to the road condition of the current road section and a preset road condition feedback table; the road condition feedback list comprises corresponding relations between different road conditions and different braking feedback gears, and one road condition corresponds to one braking feedback gear;
determining feedback deceleration of the vehicle according to the selected braking feedback gear;
and determining the feedback torque of the vehicle according to the feedback deceleration, so that the vehicle performs braking feedback deceleration according to the feedback torque at the current road section.
As an improvement of the scheme, the braking feedback gear comprises a weak feedback gear, a middle feedback gear and a strong feedback gear;
when the vehicle is in the weak feedback gear, the feedback deceleration of the vehicle is smaller than a preset first speed threshold value;
when the vehicle is in the middle feedback gear, the vehicle feedback deceleration is larger than or equal to the first speed threshold value and smaller than or equal to a preset second speed threshold value;
when in the strong feedback gear, the feedback deceleration of the vehicle is greater than a second speed threshold.
In a second aspect, an embodiment of the present invention provides an energy feedback control device for an electric vehicle, including:
The navigation route dividing module is used for obtaining a navigation route of the vehicle according to the current position of the vehicle and a preset target position in a vehicle navigation mode, and segmenting the navigation route to obtain a plurality of road sections; wherein road conditions of two adjacent road sections are different;
the driving mileage calculation module is used for calculating the driving mileage according to the current environment information of the vehicle, the current running state of the vehicle and the current residual energy of the vehicle;
and the energy feedback module is used for selecting one braking feedback gear from a plurality of preset braking feedback gears according to the corresponding road conditions when the vehicle runs to the current road section when the driving mileage is less than or equal to the current display mileage of the vehicle, so that the vehicle can carry out energy feedback on the current road section according to the selected braking feedback gear.
In a third aspect, an embodiment of the present invention provides a vehicle including:
one or more processors;
a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the energy feedback control method of an electric vehicle according to any one of the first aspects.
Compared with the prior art, the embodiment of the invention has the beneficial effects that: under the condition that the vehicle starts navigation, the navigation route is segmented, the energy recovery state is automatically adjusted according to the road condition of each road section, energy is saved, and the achievement of target mileage is promoted.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an energy feedback control method of an electric vehicle according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an energy feedback control device of an electric vehicle according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the present invention provides an energy feedback control method for an electric vehicle, including:
s11: in a vehicle navigation mode, obtaining a navigation route of a vehicle according to the current position of the vehicle and a preset target position, and segmenting the navigation route to obtain a plurality of road sections; wherein road conditions of two adjacent road sections are different;
the road conditions include an ascending road condition, a descending road condition, a high-speed road condition, a city road condition and the like.
S12: calculating the driving mileage according to the current environment information of the vehicle, the current running state of the vehicle and the current residual energy of the vehicle;
s13: when the driving mileage is less than or equal to the current display mileage of the vehicle, selecting one brake feedback gear from a plurality of preset brake feedback gears according to the corresponding road conditions when the vehicle drives to the current road section, so that the vehicle can carry out energy feedback according to the selected brake feedback gear in the current road section.
In the embodiment of the invention, under the condition that the vehicle is started to navigate, the calculated driving range is taken as the target range, if the driving range is in a long-duration mode, the energy recovery state is automatically adjusted according to the road condition, the energy is saved, the achievement of the target range is promoted, and meanwhile, more energy can be recovered through energy feedback so as to compensate the deviation between the driving range and the display range.
In an alternative embodiment, the calculating the driving range according to the current environmental information of the vehicle, the current running state of the vehicle and the current remaining energy of the vehicle includes:
acquiring the reference energy consumption of the vehicle in the current vehicle running state and the current environment information according to a preset reference energy consumption model; the reference energy consumption model is obtained by correcting the actual energy consumption of the vehicle under different vehicle running states and environment information;
and calculating the driving mileage according to the reference energy consumption and the current residual energy of the vehicle.
Further, the reference energy consumption model comprises a reference energy consumption curve corresponding to the running state of the vehicle and a reference energy consumption matrix corresponding to the environment information;
the method further comprises:
correcting the reference energy consumption curve according to the actual energy consumption of the vehicle in different vehicle running states;
and correcting the reference energy consumption matrix according to the actual energy consumption of the vehicle under different environmental information.
Further, the obtaining, according to a preset reference energy consumption model, the reference energy consumption of the vehicle in the current vehicle running state and the current environmental information includes:
Acquiring dynamic reference energy consumption of the vehicle in the current vehicle running state according to the corrected reference energy consumption curve;
acquiring static reference energy consumption of the vehicle under the current environmental information according to the corrected reference energy consumption matrix;
and obtaining the reference energy consumption according to the dynamic reference energy consumption and the static reference energy consumption.
Specifically, the current running state of the vehicle includes running data such as a vehicle speed, a working state of energy-consuming accessories, a pedal opening degree and the like, and the current environmental information includes road conditions, weather, wind speed, air density and the like. The vehicle leaves the factory and is preset with a reference energy consumption curve based on the vehicle speed, and the reference energy consumption curve is used for representing the energy consumption corresponding to a standard working condition (such as asphalt road condition, no gradient and 25 degrees of ambient temperature) under different vehicle speeds, so that each different vehicle speed has a corresponding energy consumption, and a corresponding reference energy consumption curve, namely a reference energy consumption curve corresponding to the running state of the vehicle, exists in a set vehicle speed range; in the subsequent driving process of the vehicle, the actual energy consumption of different vehicle speeds can be monitored, and then the actual energy consumption is adopted to correct the energy consumption of the reference energy consumption curve under the corresponding vehicle speed, so that the reference energy consumption curve is more close to the actual condition of the vehicle, and the accuracy of estimating the driving mileage is improved.
The vehicle is shipped from the factory and is also set with a reference energy consumption matrix based on environment in advance, the reference energy consumption matrix is used for representing the energy consumption corresponding to different environments of the vehicle in a static state, and the energy consumption is corrected according to the environment where the vehicle is actually located, for example, the weather is 30 degrees, and the influence of the south and the north on the energy consumption is different, so that the correction can be performed according to the actual energy consumption corresponding to the actual environment sensing information.
According to the embodiment of the invention, the dynamic energy consumption under the current vehicle speed and the static energy consumption of the current environmental information are integrated to serve as the reference energy consumption to estimate the driving mileage of the vehicle, so that the environmental perception and the driving characteristics of the user can be fully considered, the accurate endurance is improved, and the mileage anxiety of the user is reduced.
In an alternative embodiment, the calculating the driving range according to the reference energy consumption and the current remaining energy of the vehicle includes:
obtaining an estimated mileage according to the reference energy consumption and the current residual energy of the vehicle;
filtering the estimated mileage;
according to the change rule of the driving mileage of the vehicle before the current moment, the refreshing time and the refreshing step length are adjusted;
the filtered estimated mileage is adjusted according to the adjusted refreshing time and refreshing step length;
Judging whether the adjusted estimated mileage is reasonable or not;
and when the adjusted estimated mileage is judged to be reasonable, the adjusted estimated mileage is taken as the driving mileage.
In an alternative embodiment, the determining whether the adjusted estimated mileage is reasonable includes:
judging whether the adjusted estimated mileage falls in a corresponding mileage interval or not; the upper limit of the mileage interval is calculated according to the minimum energy consumption of the vehicle in the current running state and the current environment information, and the lower limit of the mileage interval is calculated according to the maximum energy consumption in the current running state;
if yes, judging that the adjusted estimated mileage is reasonable;
if not, judging that the estimated mileage after adjustment is unreasonable.
In the embodiment of the invention, the actual energy consumption in the driving process is used for the estimated mileage, so that the fluctuation range of the energy consumption is larger, and the calculated estimated mileage is larger at the moment. And finally, rationally protecting the estimated mileage according to the residual capacity, and preventing the mileage from being inconsistent with the actual situation caused by abnormal interference in the mileage calculation process, for example, the residual energy is 50kwh, the actual drivable mileage can be between 150 km and 280km, and if the calculated mileage is not in the range, the mileage calculation is possibly problematic. And for the estimated mileage obtained preliminarily, the final driving mileage can be obtained through filtering control, refreshing control, step opening control and mileage protection according to the residual energy.
In an optional embodiment, when the vehicle travels to the current road section, one brake feedback gear is selected from a plurality of preset brake feedback gears according to the corresponding road conditions, so that the vehicle performs energy feedback on the current road section according to the selected brake feedback gear, and the method includes:
when the vehicle runs to the current road section, selecting a brake feedback gear from a plurality of preset brake feedback gears according to the road condition of the current road section and a preset road condition feedback table; the road condition feedback list comprises corresponding relations between different road conditions and different braking feedback gears, and one road condition corresponds to one braking feedback gear;
determining feedback deceleration of the vehicle according to the selected braking feedback gear;
and determining the feedback torque of the vehicle according to the feedback deceleration, so that the vehicle performs braking feedback deceleration according to the feedback torque at the current road section.
Further, the braking feedback gear comprises a weak feedback gear, a middle feedback gear and a strong feedback gear;
when the vehicle is in the weak feedback gear, the feedback deceleration of the vehicle is smaller than a preset first speed threshold value;
when the vehicle is in the middle feedback gear, the vehicle feedback deceleration is larger than or equal to the first speed threshold value and smaller than or equal to a preset second speed threshold value;
When in the strong feedback gear, the feedback deceleration of the vehicle is greater than a second speed threshold.
In the embodiment of the present invention, the first speed threshold and the second speed threshold are not specifically limited, and may be set according to the specific situation of the vehicle, for example, the first speed threshold is 0.1g, and the second speed threshold is 0.2g.
In the embodiment of the invention, the high-speed road condition and the uphill road condition correspond to the weak feedback gear, the urban road condition and the downhill road condition correspond to the strong feedback gear, and then under the condition of starting the navigation of the vehicle, if the vehicle is in a long-endurance mode, the energy recovery state is automatically adjusted according to the road condition, for example, the vehicle can travel a longer distance by using the weak feedback under the high-speed road condition, and the braking requirement is more frequent under the urban condition, and the strong feedback setting can effectively reduce the frequency of stepping on the brake by a driver, so that the kinetic energy can be well converted into the electric energy, the braking loss is reduced, and similarly, under the downhill road condition, the strong feedback is beneficial to converting the potential energy into the electric energy and reducing the braking consumption. The weak feedback setting can effectively reduce the kinetic energy loss in the uphill road condition, and is beneficial to reducing the energy consumption.
In order to further reduce the energy consumption and improve the energy utilization rate of the vehicle, after the driving mileage of the vehicle is calculated, the driving mileage is taken as the target mileage of the vehicle, and the following energy distribution and thermal management processes can be performed when the vehicle is started, wherein the energy distribution process specifically comprises the following steps:
Determining a target maximum allowable discharge power of the vehicle according to the driving mileage and the current display mileage of the vehicle;
and distributing energy to the energy consumption accessories of the vehicle according to the target maximum allowable discharge power.
In the embodiment of the invention, the reference energy consumption is corrected based on the actual energy consumption of the vehicle, the influence of the current running state and the environment of the vehicle on the energy consumption of the vehicle is fully considered, the target maximum allowable discharge power of the vehicle is determined based on the calculated driving range and the display range of the corrected reference energy consumption and the residual energy, the energy distribution of the energy-consuming accessories of the vehicle is carried out, the energy distribution of the energy-consuming accessories of the whole vehicle can be timely adjusted based on the current running condition of the vehicle, the aim of controlling the maximum consumption of the vehicle and reducing the energy consumption is fulfilled, the endurance range of the vehicle is improved, and the display range is promoted to reach the standard.
In an alternative embodiment, the determining the target maximum allowable discharge power of the vehicle according to the driving range and the current display range of the vehicle includes:
calculating a mileage difference value between the driving mileage and the current display mileage of the vehicle;
calculating a power consumption reduction value according to the mileage difference value, the current maximum allowable discharge power of the vehicle and the current vehicle speed;
And calculating the target maximum allowable discharge power of the vehicle according to the power consumption reduction value.
Specifically, the difference between the current maximum allowable discharge power and the power consumption reduction value is calculated, so that the target maximum allowable discharge power of the vehicle can be obtained.
Further, the calculating the power consumption reduction value according to the mileage difference value, the current maximum allowable discharge power of the vehicle and the current vehicle speed includes:
according to the formulaCalculating a power consumption reduction value;
wherein s represents a preset first correction coefficient, n represents a preset second correction coefficient, m represents a preset third correction coefficient, P represents a current maximum allowable discharge power, X represents a mileage difference value, and V represents a current speed of the vehicle.
In the embodiment of the invention, the target maximum allowable discharge power of the vehicle is calculated based on the mileage difference between the driving mileage and the current display mileage of the vehicle, so that the mileage of the vehicle can be further promoted to reach the standard, and the mileage anxiety of the user is reduced.
In an alternative embodiment, the method further comprises:
monitoring total energy consumption of all energy-consuming accessories of the vehicle, and calculating a first mileage consumed by the energy-consuming accessories according to the total energy consumption;
when the first mileage of the energy-consuming accessory is greater than the preset initial allocation mileage, switching the energy-consuming accessory without work requirement in the vehicle to a power saving mode, and performing power limitation on the energy-consuming accessory with energy consumption greater than the preset first threshold value in the vehicle.
Further, when the first mileage of the energy-consuming accessory is greater than or equal to the preset initial allocation mileage, the current working state of the energy-consuming accessory is maintained.
In the embodiment of the invention, in the running process of the vehicle, the consumption of the energy-consuming accessory is possibly excessive, so that the consumption mileage of the energy-consuming accessory exceeds the initial distribution mileage, therefore, the energy consumption monitoring is needed to be carried out on the energy-consuming accessory of the vehicle, the energy-consuming accessory which is not required to work currently is actively controlled to enter a power saving mode, and the maximum consumption power of the high-energy-consuming accessory is limited, so that the consumption mileage of the energy-consuming accessory is ensured not to exceed or to be as little as possible exceed the initial distribution mileage. The control of the whole vehicle energy consumption is realized through the energy distribution control and the energy consumption accessory control, so that the energy is saved, more allowance is ensured to be provided for the mileage target, the achievement of the target mileage is promoted, and the user experience can be improved.
In an alternative embodiment, the method further comprises:
when the driving mileage is smaller than the current display mileage of the vehicle and the wiper of the vehicle is in an automatic state, detecting whether the vehicle meets preset wiper control conditions or not; wherein the wiper control conditions include: the vehicle is in a stationary state and it is detected that the driver of the vehicle is not looking ahead;
When the vehicle meets the wiper control condition, the working frequency of the wiper of the vehicle is reduced.
In the embodiment of the invention, when the driving mileage is smaller than the current display mileage of the vehicle and the wiper state is an automatic state (Auto), the working frequency of the wiper is automatically controlled to be reduced under the condition that the vehicle is stationary and the driver does not observe the front, so that the electricity consumption is saved. For driving scenes of the working condition of traffic jam in the urban area in rainy days, when a driver has no need for a front view under the condition, the working frequency of the wiper can be reduced, the energy consumption is effectively reduced, and the achievement of a mileage target is promoted.
The method comprises the steps that whether a driver looks ahead or not can be determined by detecting the face of the driver through an in-vehicle camera; for example, when the front face information of the driver is continuously detected for a set period of time, it is determined that the driver is visually ahead.
In an alternative embodiment, the method further comprises:
when the driving mileage is smaller than the current display mileage of the vehicle, detecting whether the vehicle meets any preset air conditioner control condition; wherein the air conditioner control conditions include: the vehicle is in a driving state, the opening height of the window of the vehicle is larger than a preset height threshold value, or the vehicle is in a non-driving state, and the opening angle of the door of the vehicle is larger than a preset angle threshold value;
And when the vehicle meets the air conditioner control condition, reducing the output power of an air conditioner of the vehicle.
In the embodiment of the invention, when the driving mileage is smaller than the current display mileage of the vehicle and the vehicle is in a driving state, and the opening height of the vehicle window is larger than the height threshold, the output power of the air conditioner is properly reduced for saving energy at the moment, and if the vehicle is in a non-driving state and the opening angle of the vehicle door is larger than the angle threshold, the output power of the air conditioner is properly reduced due to the consideration of energy consumption. The energy loss caused by heat exchange is reduced by controlling the output power of the air conditioner, so that the energy consumption is reasonably reduced, and the achievement of the mileage target is promoted.
The thermal management process specifically includes:
in a vehicle navigation mode, obtaining a navigation route of a vehicle according to the current position of the vehicle and a preset target position, and segmenting the navigation route to obtain a plurality of navigation sections; wherein, the road conditions of two adjacent navigation road sections are different;
acquiring a thermal management control strategy from a preset thermal management control strategy library according to the road condition, the current environmental information and the current running state of the vehicle corresponding to the next navigation road section of the vehicle;
And adopting the thermal management control strategy in the next navigation road section to correspondingly control the thermal management system of the vehicle.
In the embodiment of the invention, the optimal thermal management control strategy is obtained by segmenting the navigation route and monitoring the vehicle state and the environment information according to the road condition, the environment information and the vehicle running state of each navigation road section, so that the segmented thermal management control is realized, the energy can be effectively saved, the energy utilization rate is improved, and the continuous voyage mileage of the vehicle is improved to provide guarantee for the achievement of the driving mileage.
In an alternative embodiment, the thermal management process further comprises:
according to the pre-stored various road conditions, environment information, the working modes of the thermal management system under the running state of the vehicle and the thermal management energy consumption under the corresponding working modes, adopting a machine learning algorithm to dig out the working mode with the lowest thermal management energy consumption under any road condition and environment information, and taking the working mode as a thermal management control strategy under any road condition and environment information;
and storing the mined thermal management control strategy into a preset thermal management control strategy library.
In order to better excavate effective thermal management control information, information fusion is carried out on environmental information such as environmental temperature, wind speed, air density and the like of various road conditions and thermal management information of a vehicle, an optimal thermal management control strategy which achieves the same refrigeration/heating effect and has the lowest energy consumption is excavated by adopting a machine learning algorithm to an information fusion result, the thermal management control strategy is stored in a preset thermal management control strategy library, an optimal control strategy is provided for subsequent thermal management of the vehicle, and the lowest energy consumption is ensured when the same refrigeration/heating effect is achieved.
In an optional embodiment, the obtaining a thermal management control policy from a preset thermal management control policy library according to the road condition, the current environmental information and the current running state of the vehicle corresponding to the next navigation road section of the vehicle includes:
and carrying out matching search on the thermal management control strategy library according to the road condition, the current environment information and the current vehicle running state corresponding to the next navigation road section, and obtaining the control strategy corresponding to the road condition and the current environment information corresponding to the next navigation road section.
Further, the thermal management control strategy comprises fan rotation speed control of the thermal management system, target water temperature control, water pump rotation speed control of the thermal management system and valve body control of the thermal management system, and the thermal management control strategy further comprises one of cooling mode control and heating mode control.
In an alternative embodiment, when the thermal management strategy includes cooling mode control, the employing the thermal management control strategy on the next navigation road segment correspondingly controls a thermal management system of the vehicle, including:
according to the thermal management control strategy, predicting the thermal management energy consumption of the road condition of the next navigation road section;
Judging the cooling requirement of the road condition of the next navigation road section according to the thermal management energy consumption;
when the cooling requirement is a preset high cooling requirement, adopting the thermal management control strategy in the next navigation road section to perform cooling control on a thermal management system of the vehicle;
when the cooling requirement is a preset cooling requirement, maintaining the current cooling state of the thermal management system;
and when the cooling requirement is a preset low cooling requirement, the cooling threshold of the thermal management system is adjusted upwards.
In the embodiment of the invention, the cooling requirement of the vehicle is divided into three grades of high, medium and low, and one road condition corresponds to one cold area requirement. Under the condition that the vehicle starts navigation, the navigation route is segmented, and the cooling requirement of the next road condition is planned in advance according to the road segmentation condition, so that the thermal management control strategy of the next road condition is planned in advance, the minimum thermal management energy consumption when reaching a destination is realized, the energy is saved as much as possible, and more allowance is provided for guaranteeing the mileage target.
In an alternative embodiment, when the thermal management strategy includes heating mode control, the employing the thermal management control strategy on the next navigation road segment correspondingly controls a thermal management system of the vehicle, including:
When the vehicle meets the preset motor feedback condition, adopting the thermal management control strategy in the next navigation road section to perform heating control on a thermal management system of the vehicle;
wherein, the motor feedback condition includes: when the driving range of the vehicle is smaller than the current display range, the battery allowable charging power of the vehicle is smaller than a preset power threshold value, and the vehicle is in an accelerator release state.
In the embodiment of the invention, the driving mileage of the vehicle is compared with the display mileage, and if the driving mileage is smaller than the display mileage at the moment and the battery allowable charging power is smaller than the preset power threshold and the vehicle is in the accelerator release state, the motor is indicated to have feedback requirement, and if the motor is not controlled, the motor can only carry out feedback or not feedback with small power at the moment. In order to optimize energy consumption, when the feedback requirement of the motor is determined, the battery heating is started according to the feedback requirement of the motor, so that the feedback energy is converted into the energy for heating the battery, the motor provides larger feedback force, the braking loss is reduced, the battery activity can be improved by heating the battery, the available energy of the battery is increased, and the service life of the battery is prolonged.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
1. Under the condition that the vehicle starts navigation, the navigation route is segmented, the energy recovery state is automatically adjusted according to the road condition of each road section, energy is saved, and the achievement of the driving mileage is promoted.
2. When the vehicle is started, energy distribution is carried out based on the driving mileage, so that energy consumption can be effectively reduced, the energy utilization rate is improved, and the vehicle mileage is promoted to reach the standard;
3. in the running process of the vehicle, energy feedback and thermal management control are carried out, so that the energy consumption can be further reduced, the energy utilization rate is improved, and the mileage of the vehicle is promoted to reach the standard;
4. based on the calculated driving mileage, energy distribution, energy feedback and thermal management control can be performed on the vehicle, meanwhile, energy conservation is ensured as much as possible through the energy distribution and thermal management control of the vehicle, and energy consumption can be reduced through the energy feedback and energy consumption accessory control, so that the driving mileage of the vehicle is improved, closed-loop control with mileage as a target is realized, thereby realizing accurate driving control of the vehicle, reducing user mileage anxiety and improving user experience.
Example two
Referring to fig. 2, an embodiment of the present invention provides an energy feedback control device for an electric vehicle, including:
the navigation route division module 1 is used for obtaining a navigation route of a vehicle according to the current position of the vehicle and a preset target position in a vehicle navigation mode, and segmenting the navigation route to obtain a plurality of road sections; wherein road conditions of two adjacent road sections are different;
The driving mileage calculation module 2 is used for calculating the driving mileage according to the current environment information of the vehicle, the current running state of the vehicle and the current residual energy of the vehicle;
and the energy feedback module 3 is used for selecting one brake feedback gear from a plurality of preset brake feedback gears according to the corresponding road conditions when the vehicle runs to the current road section when the driving mileage is less than or equal to the current display mileage of the vehicle, so that the vehicle can carry out energy feedback according to the selected brake feedback gear in the current road section.
In an alternative embodiment, the driving range calculating module 2 includes:
the reference energy consumption acquisition unit is used for acquiring the reference energy consumption of the vehicle in the current vehicle running state and the current environment information according to a preset reference energy consumption model; the reference energy consumption model is obtained by correcting the actual energy consumption of the vehicle under different vehicle running states and environment information;
and the mileage calculation unit is used for calculating the driving mileage according to the reference energy consumption and the current residual energy of the vehicle.
In an alternative embodiment, the reference energy consumption model comprises a reference energy consumption curve corresponding to a vehicle running state and a reference energy consumption matrix corresponding to environmental information;
The apparatus further comprises:
the first energy consumption correction module is used for correcting the reference energy consumption curve according to the actual energy consumption of the vehicle in different vehicle running states;
and the second energy consumption correction module is used for correcting the reference energy consumption matrix according to the actual energy consumption of the vehicle under different environmental information.
In an alternative embodiment, the reference energy consumption acquisition unit comprises:
the first energy consumption acquisition unit is used for acquiring dynamic reference energy consumption of the vehicle in the current vehicle running state according to the corrected reference energy consumption curve;
the second energy consumption acquisition unit is used for acquiring static reference energy consumption of the vehicle under the current environment information according to the corrected reference energy consumption matrix;
and the reference energy consumption calculation unit is used for obtaining the reference energy consumption according to the dynamic reference energy consumption and the static reference energy consumption.
In an alternative embodiment, the mileage calculation unit includes:
the mileage estimation unit is used for obtaining an estimated mileage according to the reference energy consumption and the current residual energy of the vehicle;
the filtering unit is used for carrying out filtering processing on the estimated mileage;
the refreshing adjustment unit is used for adjusting refreshing time and refreshing step length according to the change rule of the driving mileage of the vehicle before the current moment;
The mileage adjusting unit is used for adjusting the filtered estimated mileage according to the adjusted refreshing time and the refreshing step length;
the rationality judging unit is used for judging whether the adjusted estimated mileage is reasonable or not; and when the adjusted estimated mileage is judged to be reasonable, the adjusted estimated mileage is taken as the driving mileage.
Further, judging whether the adjusted estimated mileage falls in a corresponding mileage interval; the upper limit of the mileage interval is calculated according to the minimum energy consumption of the vehicle in the current running state and the current environment information, and the lower limit of the mileage interval is calculated according to the maximum energy consumption in the current running state;
if yes, judging that the adjusted estimated mileage is reasonable;
if not, judging that the estimated mileage after adjustment is unreasonable.
In an alternative embodiment, the energy feedback module 3 includes:
the brake feedback gear selecting unit is used for selecting one brake feedback gear from a plurality of preset brake feedback gears according to the road condition of the current road section and a preset road condition feedback table when the vehicle runs to the current road section; the road condition feedback list comprises corresponding relations between different road conditions and different braking feedback gears, and one road condition corresponds to one braking feedback gear;
The feedback deceleration determining unit is used for determining the feedback deceleration of the vehicle according to the selected braking feedback gear;
and the torque control unit is used for determining the feedback torque of the vehicle according to the feedback deceleration so as to enable the vehicle to brake and feedback the deceleration according to the feedback torque at the current road section.
In an alternative embodiment, the brake feedback gear includes a weak feedback gear, a medium feedback gear, and a strong feedback gear;
when the vehicle is in the weak feedback gear, the feedback deceleration of the vehicle is smaller than a preset first speed threshold value;
when the vehicle is in the middle feedback gear, the vehicle feedback deceleration is larger than or equal to the first speed threshold value and smaller than or equal to a preset second speed threshold value;
when in the strong feedback gear, the feedback deceleration of the vehicle is greater than a second speed threshold.
Example III
An embodiment of the present invention provides a vehicle including:
one or more processors;
a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the energy feedback control method for an electric vehicle according to any one of the above embodiments.
The processor executes the computer program to implement the steps in the above embodiments of the method for controlling energy feedback of electric vehicles, for example, steps S11-13 shown in fig. 1. Alternatively, the processor may implement the functions of the modules/units in the above-described device embodiments when executing the computer program, for example, a navigation route dividing module, and an energy feedback module.
The computer program may be divided into one or more modules/units, which are stored in the memory and executed by the processor to accomplish the present invention, for example. The one or more modules/units may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program in the energy feedback device/terminal device of the electric vehicle. For example, the computer program may be divided into a navigation route division module, and an energy feedback module, where each module specifically functions as follows: the navigation route dividing module is used for obtaining a navigation route of the vehicle according to the current position of the vehicle and a preset target position in a vehicle navigation mode, and segmenting the navigation route to obtain a plurality of road sections; wherein road conditions of two adjacent road sections are different; the driving mileage calculation module is used for calculating the driving mileage according to the current environment information of the vehicle, the current running state of the vehicle and the current residual energy of the vehicle; and the energy feedback module is used for selecting one braking feedback gear from a plurality of preset braking feedback gears according to the corresponding road conditions when the vehicle runs to the current road section when the driving mileage is less than or equal to the current display mileage of the vehicle, so that the vehicle can carry out energy feedback on the current road section according to the selected braking feedback gear.
The processor may be a complete vehicle controller (Vehicle Control Unit, VCU), central processing unit (Central Processing Unit, CPU), other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that is a control center of the device, connecting the various parts of the overall device using various interfaces and lines.
The memory may be used to store the computer program and/or modules, and the processor may implement various functions of the device by running or executing the computer program and/or modules stored in the memory, and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
It should be noted that the above-described apparatus embodiments are merely illustrative, and the units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relation between the modules represents that the modules have communication connection, and can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (7)
1. An energy feedback control method for an electric automobile is characterized by comprising the following steps:
In a vehicle navigation mode, obtaining a navigation route of a vehicle according to the current position of the vehicle and a preset target position, and segmenting the navigation route to obtain a plurality of road sections;
acquiring the reference energy consumption of the vehicle under the current vehicle running state and the current environment information according to a preset reference energy consumption model; the reference energy consumption model is obtained by correcting the actual energy consumption of the vehicle under different vehicle running states and environment information;
calculating a driving mileage according to the reference energy consumption and the current residual energy of the vehicle; obtaining an estimated mileage according to the reference energy consumption and the current residual energy of the vehicle;
the estimated mileage is filtered, the refreshing time and the refreshing step length are adjusted according to the change rule of the available mileage of the vehicle before the current moment, the filtered estimated mileage is adjusted according to the adjusted refreshing time and the refreshing step length, whether the adjusted estimated mileage falls in a corresponding mileage interval is judged, if yes, the adjusted estimated mileage is judged to be reasonable, the adjusted estimated mileage is taken as the available mileage, wherein the upper limit of the mileage interval is calculated according to the minimum energy consumption of the vehicle under the current running state and the current environment information, and the lower limit of the mileage interval is calculated according to the maximum energy consumption under the current running state;
When the driving mileage is less than or equal to the current display mileage of the vehicle, selecting one brake feedback gear from a plurality of preset brake feedback gears according to the corresponding road conditions when the vehicle drives to the current road section, so that the vehicle can carry out energy feedback according to the selected brake feedback gear in the current road section.
2. The energy feedback control method of an electric vehicle according to claim 1, wherein the reference energy consumption model includes a reference energy consumption curve corresponding to a vehicle running state, a reference energy consumption matrix corresponding to environmental information;
the method further comprises:
correcting the reference energy consumption curve according to the actual energy consumption of the vehicle in different vehicle running states;
and correcting the reference energy consumption matrix according to the actual energy consumption of the vehicle under different environmental information.
3. The method for controlling energy feedback of an electric vehicle according to claim 2, wherein the obtaining the reference energy consumption of the vehicle in the current vehicle running state and the current environmental information according to the preset reference energy consumption model includes:
acquiring dynamic reference energy consumption of the vehicle in the current vehicle running state according to the corrected reference energy consumption curve;
Acquiring static reference energy consumption of the vehicle under the current environmental information according to the corrected reference energy consumption matrix;
and obtaining the reference energy consumption according to the dynamic reference energy consumption and the static reference energy consumption.
4. The energy feedback control method of an electric vehicle according to claim 1, wherein when the vehicle travels to a current road section, one brake feedback gear is selected from a plurality of preset brake feedback gears according to a corresponding road condition, so that the vehicle performs energy feedback on the current road section according to the selected brake feedback gear, comprising:
when the vehicle runs to the current road section, selecting a brake feedback gear from a plurality of preset brake feedback gears according to the road condition of the current road section and a preset road condition feedback table; the road condition feedback list comprises corresponding relations between different road conditions and different braking feedback gears, and one road condition corresponds to one braking feedback gear;
determining feedback deceleration of the vehicle according to the selected braking feedback gear;
and determining the feedback torque of the vehicle according to the feedback deceleration, so that the vehicle performs braking feedback deceleration according to the feedback torque at the current road section.
5. The energy feedback control method of an electric vehicle according to claim 4, wherein the braking feedback gear includes a weak feedback gear, a medium feedback gear, and a strong feedback gear;
when the vehicle is in the weak feedback gear, the feedback deceleration of the vehicle is smaller than a preset first speed threshold value;
when the vehicle is in the middle feedback gear, the vehicle feedback deceleration is larger than or equal to the first speed threshold value and smaller than or equal to a preset second speed threshold value;
when in the strong feedback gear, the feedback deceleration of the vehicle is greater than a second speed threshold.
6. An energy feedback control device of an electric automobile, comprising:
the navigation route dividing module is used for obtaining a navigation route of the vehicle according to the current position of the vehicle and a preset target position in a vehicle navigation mode, and segmenting the navigation route to obtain a plurality of road sections;
the system comprises a driving mileage calculation module, a filtering processing module and a driving mileage calculation module, wherein the driving mileage calculation module is used for obtaining the reference energy consumption of a vehicle under the current vehicle running state and the current environment information according to a preset reference energy consumption model, the reference energy consumption model is obtained by correcting the actual energy consumption of the vehicle under different vehicle running states and environment information, the driving mileage is calculated according to the reference energy consumption and the current residual energy of the vehicle, the estimated mileage is obtained according to the reference energy consumption and the current residual energy of the vehicle, the filtering processing is carried out on the estimated mileage, the refreshing time and the refreshing step length are adjusted according to the change rule of the driving mileage of the vehicle before the current moment, the filtered estimated mileage is adjusted according to the adjusted refreshing time and the refreshing step length, whether the adjusted estimated mileage falls in a corresponding mileage interval is judged, if yes, the adjusted estimated mileage is judged to be reasonable, the adjusted estimated mileage is taken as the driving mileage, the upper limit of the driving mileage is calculated according to the current running state and the current environment information, and the lower limit of the driving mileage is calculated according to the current maximum driving state;
And the energy feedback module is used for selecting one braking feedback gear from a plurality of preset braking feedback gears according to the corresponding road conditions when the vehicle runs to the current road section when the driving mileage is less than or equal to the current display mileage of the vehicle, so that the vehicle can carry out energy feedback on the current road section according to the selected braking feedback gear.
7. A vehicle, characterized by comprising:
one or more processors;
a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the energy feedback control method of an electric vehicle according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111166244.3A CN113815423B (en) | 2021-09-30 | 2021-09-30 | Energy feedback control method and device for electric automobile and vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111166244.3A CN113815423B (en) | 2021-09-30 | 2021-09-30 | Energy feedback control method and device for electric automobile and vehicle |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113815423A CN113815423A (en) | 2021-12-21 |
| CN113815423B true CN113815423B (en) | 2023-10-20 |
Family
ID=78920015
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111166244.3A Active CN113815423B (en) | 2021-09-30 | 2021-09-30 | Energy feedback control method and device for electric automobile and vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113815423B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115663245B (en) * | 2022-12-09 | 2023-04-07 | 湖南隆深氢能科技有限公司 | Fuel cell energy control system and method |
| CN116424102B (en) * | 2023-06-12 | 2023-09-22 | 江西五十铃汽车有限公司 | Energy recovery method, system, storage medium and electric automobile |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102009048821A1 (en) * | 2009-10-09 | 2011-04-14 | Conti Temic Microelectronic Gmbh | Method for determining range of vehicle, particularly electric vehicle, involves considering parameter during determination of range, which is obtained from information relating to scheduled or actually traveled driving route |
| CN107745639A (en) * | 2017-09-07 | 2018-03-02 | 宝沃汽车（中国）有限公司 | Energy feedback method, energy feedback system and vehicle |
| CN108422881A (en) * | 2018-03-16 | 2018-08-21 | 奇瑞汽车股份有限公司 | Method and system for calculating endurance mileage of pure electric vehicle |
| CN109291807A (en) * | 2018-09-28 | 2019-02-01 | 上汽通用五菱汽车股份有限公司 | Electric vehicle and its energy feedback management method, system, device and storage medium |
| CN109649183A (en) * | 2018-11-23 | 2019-04-19 | 江苏敏安电动汽车有限公司 | A kind of pure electric automobile energy management and energy reclaiming method |
| CN109733248A (en) * | 2019-01-09 | 2019-05-10 | 吉林大学 | Pure electric automobile remaining mileage model prediction method based on routing information |
| CN109795371A (en) * | 2019-02-19 | 2019-05-24 | 一汽-大众汽车有限公司 | Electric vehicle charging based reminding method and device based on mobile terminal route planning |
| CN110450641A (en) * | 2019-08-21 | 2019-11-15 | 上海英恒电子有限公司 | A kind of vehicle brake energy recovery method, device and electric car |
| CN111038334A (en) * | 2019-12-31 | 2020-04-21 | 华人运通(江苏)技术有限公司 | Method and device for predicting driving range of electric automobile |
| CN111038270A (en) * | 2019-12-30 | 2020-04-21 | 华人运通(江苏)技术有限公司 | Energy feedback control method and device for vehicle, vehicle and storage medium |
| CN111452780A (en) * | 2019-01-22 | 2020-07-28 | 上海汽车集团股份有限公司 | Electric quantity management control method and device for hybrid electric vehicle |
| CN111591141A (en) * | 2020-05-29 | 2020-08-28 | 重庆长安新能源汽车科技有限公司 | Electric automobile remaining mileage estimation method and device and electric automobile |
| CN112124146A (en) * | 2020-09-10 | 2020-12-25 | 华人运通(江苏)技术有限公司 | Method, device and system for predicting driving range of vehicle and storage medium |
| CN112406630A (en) * | 2020-11-30 | 2021-02-26 | 的卢技术有限公司 | Electric vehicle driving range calculation method based on working condition identification |
| CN113173075A (en) * | 2021-05-19 | 2021-07-27 | 上汽通用五菱汽车股份有限公司 | New energy automobile, energy feedback control method, device and medium |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4314257B2 (en) * | 2006-09-28 | 2009-08-12 | トヨタ自動車株式会社 | VEHICLE DISPLAY DEVICE, VEHICLE DISPLAY DEVICE CONTROL METHOD, PROGRAM, AND RECORDING MEDIUM CONTAINING THE PROGRAM |
| WO2013153597A1 (en) * | 2012-04-09 | 2013-10-17 | 三菱電機株式会社 | Vehicle power-generator device and vehicle power-generation control method |
| DE112012007108B4 (en) * | 2012-11-06 | 2019-06-13 | Mitsubishi Electric Corporation | navigation device |
| JP5549726B2 (en) * | 2012-11-22 | 2014-07-16 | 三菱自動車工業株式会社 | Cruising range calculation device |
| DE102014218077A1 (en) * | 2014-09-10 | 2016-03-10 | Robert Bosch Gmbh | Method and device for operating a motor vehicle, motor vehicle |
| CN106515478B (en) * | 2016-10-27 | 2017-10-20 | 合肥工业大学 | Electric automobile remaining driving mileage on-line prediction method and device |
| KR102629082B1 (en) * | 2019-07-05 | 2024-01-29 | 현대자동차주식회사 | Vehicle and method for controlling the same |
| KR20210073632A (en) * | 2019-12-10 | 2021-06-21 | 현대자동차주식회사 | Vehicle having electric motor and method of controlling braking signal for the same |
-
2021
- 2021-09-30 CN CN202111166244.3A patent/CN113815423B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102009048821A1 (en) * | 2009-10-09 | 2011-04-14 | Conti Temic Microelectronic Gmbh | Method for determining range of vehicle, particularly electric vehicle, involves considering parameter during determination of range, which is obtained from information relating to scheduled or actually traveled driving route |
| CN107745639A (en) * | 2017-09-07 | 2018-03-02 | 宝沃汽车（中国）有限公司 | Energy feedback method, energy feedback system and vehicle |
| CN108422881A (en) * | 2018-03-16 | 2018-08-21 | 奇瑞汽车股份有限公司 | Method and system for calculating endurance mileage of pure electric vehicle |
| CN109291807A (en) * | 2018-09-28 | 2019-02-01 | 上汽通用五菱汽车股份有限公司 | Electric vehicle and its energy feedback management method, system, device and storage medium |
| CN109649183A (en) * | 2018-11-23 | 2019-04-19 | 江苏敏安电动汽车有限公司 | A kind of pure electric automobile energy management and energy reclaiming method |
| CN109733248A (en) * | 2019-01-09 | 2019-05-10 | 吉林大学 | Pure electric automobile remaining mileage model prediction method based on routing information |
| CN111452780A (en) * | 2019-01-22 | 2020-07-28 | 上海汽车集团股份有限公司 | Electric quantity management control method and device for hybrid electric vehicle |
| CN109795371A (en) * | 2019-02-19 | 2019-05-24 | 一汽-大众汽车有限公司 | Electric vehicle charging based reminding method and device based on mobile terminal route planning |
| CN110450641A (en) * | 2019-08-21 | 2019-11-15 | 上海英恒电子有限公司 | A kind of vehicle brake energy recovery method, device and electric car |
| CN111038270A (en) * | 2019-12-30 | 2020-04-21 | 华人运通(江苏)技术有限公司 | Energy feedback control method and device for vehicle, vehicle and storage medium |
| CN111038334A (en) * | 2019-12-31 | 2020-04-21 | 华人运通(江苏)技术有限公司 | Method and device for predicting driving range of electric automobile |
| CN111591141A (en) * | 2020-05-29 | 2020-08-28 | 重庆长安新能源汽车科技有限公司 | Electric automobile remaining mileage estimation method and device and electric automobile |
| CN112124146A (en) * | 2020-09-10 | 2020-12-25 | 华人运通(江苏)技术有限公司 | Method, device and system for predicting driving range of vehicle and storage medium |
| CN112406630A (en) * | 2020-11-30 | 2021-02-26 | 的卢技术有限公司 | Electric vehicle driving range calculation method based on working condition identification |
| CN113173075A (en) * | 2021-05-19 | 2021-07-27 | 上汽通用五菱汽车股份有限公司 | New energy automobile, energy feedback control method, device and medium |
Non-Patent Citations (2)
| Title |
|---|
| 程星 ; 贾志勇 ; 张创 ; 郭建伟 ; .锂电动汽车整车能量的优化控制综述.变频器世界.2015,(第08期),全文. * |
| 解难 ; 胡月昆 ; 杨帆 ; 李春 ; .环境温度对电动汽车续驶里程影响的试验研究.重庆理工大学学报(自然科学).2018,(第06期),全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113815423A (en) | 2021-12-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113844270B (en) | Display mileage updating method and device of electric automobile and vehicle | |
| CN113815488B (en) | Energy distribution method and device for electric automobile and vehicle | |
| CN113829835B (en) | Electric automobile thermal management method and vehicle | |
| CN113815423B (en) | Energy feedback control method and device for electric automobile and vehicle | |
| CN109910866B (en) | Hybrid electric vehicle energy management method and system based on road condition prediction | |
| CN110370942B (en) | Extended range electric vehicle control method and device | |
| US9199590B2 (en) | Vehicle control device, vehicle, and vehicle control method | |
| JP4325626B2 (en) | Hybrid vehicle operation control system | |
| CA2750947C (en) | Energy-efficient controlling of air conditioning system | |
| CN114179678B (en) | Vehicle endurance auxiliary control method and system, storage medium and vehicle | |
| CN111038215A (en) | Control method and device of automobile heat pump air conditioning system, storage medium and terminal | |
| CN113119750A (en) | Vehicle energy consumption control method and device and electric vehicle | |
| CN115140046A (en) | Vehicle control method and system, vehicle controller and cloud server | |
| CN113459829B (en) | Intelligent energy management method for double-motor electric vehicle based on road condition prediction | |
| CN114506310A (en) | Travel control device, method, and non-transitory storage medium | |
| CN112959996B (en) | Vehicle control method and device and vehicle | |
| CN113829933B (en) | Electric automobile charging management method and device and vehicle | |
| CN117507861A (en) | Range-extending electric automobile, range extender control method and device thereof and storage medium | |
| CN112918468A (en) | Whole vehicle energy management system of unmanned pure electric vehicle and working method | |
| CN112977400B (en) | Energy management method and system for hybrid electric vehicle driving system | |
| CN115214613A (en) | Hybrid vehicle parallel drive control method, device, equipment and storage medium | |
| CN116572962B (en) | Method and device for determining sliding state, electronic equipment and storage medium | |
| KR102347756B1 (en) | Engine control method for heating of hybrid electric vehicle | |
| US20240132047A1 (en) | Energy efficient predictive power split for hybrid powertrains | |
| CN114435358B (en) | Predictive neutral gear coasting control system and method based on cruising |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PP01 | Preservation of patent right | ||
| PP01 | Preservation of patent right |
Effective date of registration: 20240222 Granted publication date: 20231020 |