CN113829835B - Electric automobile thermal management method and vehicle - Google Patents

Electric automobile thermal management method and vehicle Download PDF

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Publication number
CN113829835B
CN113829835B CN202111162880.9A CN202111162880A CN113829835B CN 113829835 B CN113829835 B CN 113829835B CN 202111162880 A CN202111162880 A CN 202111162880A CN 113829835 B CN113829835 B CN 113829835B
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vehicle
thermal management
energy consumption
current
control strategy
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CN113829835A (en
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周伟
于吉超
王柯
孙建明
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China Express Jiangsu Technology Co Ltd
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China Express Jiangsu Technology Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60HARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00Heating, cooling or ventilating [HVAC] devices
    • B60H1/00357Air-conditioning arrangements specially adapted for particular vehicles
    • B60H1/00385Air-conditioning arrangements specially adapted for particular vehicles for vehicles having an electrical drive, e.g. hybrid or fuel cell
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60HARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00735Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60HARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00735Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
    • B60H1/00764Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a vehicle driving condition, e.g. speed
    • B60H1/00771Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a vehicle driving condition, e.g. speed the input being a vehicle position or surrounding, e.g. GPS-based position or tunnel
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/24Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
    • B60L58/27Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries by heating
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention provides a thermal management method of 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 navigation road sections; acquiring current environment information and current vehicle running state of a vehicle; 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; adopting a thermal management control strategy on the next navigation road section to correspondingly control a thermal management system of the vehicle; according to the invention, the optimal thermal management control strategy of each road section is found out by segmenting the navigation route and monitoring the state and environment information of the vehicle, so that segmented thermal management control is realized, energy can be effectively saved, the energy utilization rate is improved, and the cruising mileage of the vehicle is improved to provide guarantee for achieving the target mileage.

Description

Electric automobile thermal management method and vehicle
Technical Field
The invention relates to the technical field of automobiles, in particular to a thermal management method of an electric automobile and the automobile.
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, for example, the electric vehicles currently utilize a thermal management system and air conditioner to exchange heat to dissipate heat of a battery, and heat the power battery at a low temperature, mainly adopt PTC to heat the power battery. The existing thermal management mode does not consider the actual situation in the driving process, so that the thermal management system of the vehicle has the energy waste situation, the energy utilization rate is low, and the endurance mileage of the vehicle is reduced.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a thermal management method for an electric vehicle and a vehicle, which can effectively save energy and improve energy utilization rate, thereby improving the endurance mileage of the vehicle.
In a first aspect, an embodiment of the present invention provides a thermal management 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 navigation sections;
acquiring current environment information and current vehicle running state of a vehicle;
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.
As an improvement of the above solution, the method further includes:
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.
As an improvement of the above solution, 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.
As an improvement of the above solution, the thermal management control strategy includes 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 includes one of cooling mode control and heating mode control.
As an improvement of the above solution, when the thermal management control strategy includes cooling mode control, the adopting the thermal management control strategy in the next navigation road section 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.
As an improvement of the above solution, when the thermal management control strategy includes heating mode control, the adopting the thermal management control strategy in the next navigation road section 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.
As an improvement of the above solution, the method further includes the following range calculation process:
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 residual energy.
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.
In a second 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 are caused to implement the method of thermal management of an electric vehicle as set forth in any one of the first aspects.
Compared with the prior art, the embodiment of the invention has the beneficial effects that: by segmenting the navigation route and monitoring the vehicle state and the environment information, the optimal thermal management control strategy is obtained according to the road condition, the environment information and the vehicle running state of each navigation road section, the segmented thermal management control is realized, the energy can be effectively saved, the energy utilization rate is improved, and the cruising mileage of the vehicle is ensured to reach the target mileage.
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 a thermal management method 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 a thermal management 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 navigation sections;
wherein, the road conditions of two adjacent navigation 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: acquiring current environment information and current vehicle running state of a vehicle;
the current vehicle running state comprises a vehicle speed, a working state of energy consumption accessories, pedal opening, thermal management information and the like, and the current environment information comprises weather, wind speed, air density, environment temperature and the like.
S13: 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;
s14: 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 ensured to reach the target mileage.
In an alternative embodiment, the method 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 control 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 control strategy includes heating mode control, the adopting the thermal management control strategy in the next navigation road section 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 feedback energy is converted into energy for heating the battery, the motor provides larger feedback force, braking loss is reduced, and meanwhile, the battery activity can be improved by heating the battery, and the available energy of the battery is increased.
In an alternative embodiment, the method further comprises the following range calculation process:
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 residual energy.
Specifically, the calculating the driving mileage according to the reference energy consumption and the 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.
Specifically, 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 residual energy of the vehicle and 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 residual energy of the vehicle and the maximum energy consumption of the vehicle 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.
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.
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 order to reduce energy consumption, improve the energy utilization rate of the vehicle, further promote the vehicle mileage to reach standard, after calculating the vehicle mileage, regard mileage as the goal mileage of the vehicle, can also carry on energy feedback control and energy distribution process in the course of vehicle running, the energy feedback control specifically includes:
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, if the vehicle is in a long-duration mode, the energy recovery state is automatically adjusted according to the road condition, so that the energy feedback efficiency of the vehicle in the running process is effectively improved, and the energy consumption is reduced.
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.
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. By presetting the weak feedback gear corresponding to the high-speed road condition and the uphill road condition, and the strong feedback gear corresponding to the urban road condition and the downhill road condition, under the condition that the vehicle is started to navigate, 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 working condition, and the frequency of stepping on the brake by a driver is effectively reduced by the strong feedback setting, so that the kinetic energy can be well converted into the electric energy, the braking loss is reduced, and meanwhile, the strong feedback is beneficial to converting the potential energy into the electric energy and reducing the braking consumption under the downhill road condition. The weak feedback setting can effectively reduce the kinetic energy loss in the uphill road condition, and is beneficial to reducing the energy consumption.
The energy distribution process specifically includes:
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 regulated based on the current running condition of the vehicle, the energy-consuming accessories are intelligently controlled, the aim of controlling the maximum consumption of the vehicle and reducing the energy consumption is fulfilled, the continuous range of the vehicle is promoted, 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 energy distribution process 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 energy distribution process 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 addition, the torque distribution of the vehicle can be dynamically adjusted to save energy, when the vehicle is in a non-ECO (Ecology, conservation, optimization) mode, if the fact that the opening of the accelerator pedal is kept within a set opening range in the running process of the vehicle is detected to be fluctuated, the driver is considered to have no acceleration or deceleration requirement, at the moment, the torque mode of the vehicle can be automatically switched to the torque distribution in the ECO mode, and more energy is saved under the condition that the total required torque is unchanged;
after the torque distribution is adjusted, if the driver is detected to adjust the opening of the accelerator pedal and the variation of the opening of the accelerator pedal exceeds a set opening threshold, the torque mode of the vehicle is automatically switched to the original torque distribution in the non-ECO mode, and the driving requirement is ensured.
In an alternative embodiment, the energy distribution process 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.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
1. by segmenting the navigation route and monitoring the vehicle state and the environment information, the optimal thermal management control strategy is obtained according to the road condition, the environment information and the vehicle running state of each navigation road section, the segmented thermal management control is realized, the energy can be effectively saved, the energy utilization rate is improved, and the cruising mileage of the vehicle is ensured to reach the target mileage.
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 is 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
An embodiment of the present invention provides a vehicle including:
one or more processors;
a memory for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method for thermal management of an electric vehicle as described in any one of the above embodiments.
The processor, when executing the computer program, implements the steps in the embodiments of the thermal management method for each electric automobile described above, such as steps S11-14 shown in fig. 1.
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 specific functions for describing the execution of the computer program in a thermal management device/terminal device of the electric vehicle. For example, the computer program may be divided into a route segmentation module, an information acquisition module, a control strategy acquisition module, and a control module, each module having the following specific functions: the route segmentation 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 navigation road sections; the information acquisition module is used for acquiring the current environment information of the vehicle and the current running state of the vehicle; the control strategy acquisition module is used for acquiring a thermal management control strategy from a preset 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 of the vehicle; and the control module is used for adopting the thermal management control strategy in the next navigation road section to correspondingly control the thermal management system of the vehicle.
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 (9)

1. A method of thermal management of an electric vehicle, comprising:
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;
acquiring current environment information and current vehicle running state of a vehicle;
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;
adopting the thermal management control strategy in the next navigation road section to correspondingly control a thermal management system of the vehicle;
when the thermal management control strategy includes heating mode control, the thermal management control strategy is adopted in the next navigation road section to correspondingly control a thermal management system of the vehicle, and the method includes:
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.
2. The method of thermal management of an electric vehicle of claim 1, further comprising:
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.
3. The method for thermal management of an electric vehicle according to claim 2, wherein the obtaining a thermal management control policy from a preset thermal management control policy library according to the road condition corresponding to the next navigation section of the vehicle, the current environmental information, and the current vehicle running state comprises:
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.
4. The method of thermal management of an electric vehicle of claim 2, wherein the thermal management control strategy comprises one of a fan speed control of a thermal management system, a target water temperature control, a water pump speed control of a thermal management system, a valve body control of a thermal management system, and a cooling mode control, a heating mode control.
5. The method of claim 4, wherein when the thermal management control strategy includes cooling mode control, the thermal management control strategy is adopted in the next navigation section to perform corresponding control on a thermal management system of the vehicle, comprising:
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.
6. The method of thermal management of an electric vehicle of claim 1, further comprising the following range calculation process:
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 residual energy.
7. The method of thermal management of an electric vehicle of claim 6, wherein the reference energy consumption model includes a reference energy consumption curve corresponding to a vehicle operating 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.
8. The method for thermal management of an electric vehicle according to claim 7, 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.
9. 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 method of thermal management of an electric vehicle of any of claims 1-8.
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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113954695A (en) * 2021-09-27 2022-01-21 华人运通(江苏)技术有限公司 Electric automobile battery cooling control method, device, equipment and vehicle
CN116198285B (en) * 2023-05-06 2023-08-01 北京易控智驾科技有限公司 Thermal management system, thermal management method, electronic device, and vehicle
CN116620115B (en) * 2023-07-26 2023-11-03 宁德时代新能源科技股份有限公司 Power adjustment method, device, vehicle management equipment and readable storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016083529A1 (en) * 2014-11-27 2016-06-02 Abb Technology Ag Method of operating a battery in an electrically powered vehicle
DE102015014875A1 (en) * 2015-11-17 2016-08-04 Daimler Ag Method for operating a hybrid vehicle
CN107554340A (en) * 2017-09-08 2018-01-09 智车优行科技(上海)有限公司 Battery bag cooling control method, device, system and vehicle
CN109624967A (en) * 2019-01-29 2019-04-16 浙江吉利汽车研究院有限公司 Energy management method, device and the equipment of hybrid vehicle
CN110103947A (en) * 2019-04-18 2019-08-09 浙江吉利控股集团有限公司 A kind of new-energy automobile navigation fuel saving method, system and automobile
CN110857102A (en) * 2018-08-23 2020-03-03 福特全球技术公司 Autonomous vehicle route planning
CN111038215A (en) * 2019-12-30 2020-04-21 华人运通(江苏)技术有限公司 Control method and device of automobile heat pump air conditioning system, storage medium and terminal

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10300808B2 (en) * 2017-04-20 2019-05-28 Nio Usa, Inc. Preconditioned charging using an autonomous vehicle
EP3771593B1 (en) * 2019-07-30 2023-04-05 Volvo Car Corporation Method and system for predictive battery thermal management in an electric vehicle

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016083529A1 (en) * 2014-11-27 2016-06-02 Abb Technology Ag Method of operating a battery in an electrically powered vehicle
DE102015014875A1 (en) * 2015-11-17 2016-08-04 Daimler Ag Method for operating a hybrid vehicle
CN107554340A (en) * 2017-09-08 2018-01-09 智车优行科技(上海)有限公司 Battery bag cooling control method, device, system and vehicle
CN110857102A (en) * 2018-08-23 2020-03-03 福特全球技术公司 Autonomous vehicle route planning
CN109624967A (en) * 2019-01-29 2019-04-16 浙江吉利汽车研究院有限公司 Energy management method, device and the equipment of hybrid vehicle
CN110103947A (en) * 2019-04-18 2019-08-09 浙江吉利控股集团有限公司 A kind of new-energy automobile navigation fuel saving method, system and automobile
CN111038215A (en) * 2019-12-30 2020-04-21 华人运通(江苏)技术有限公司 Control method and device of automobile heat pump air conditioning system, storage medium and terminal

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于行驶习惯特征的电池加热策略优化;肖军;刘志强;唐明明;;汽车实用技术(11);全文 *
汽车热管理设计与驾乘质量分析;李兴科;徐业飞;孙佳欢;庞玉婷;;内燃机与配件(03);全文 *

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