Vehicle, control method and control device thereof, electronic equipment and storage medium

Abstract

The invention provides a vehicle and a control method and device thereof, electronic equipment and a storage medium, and the method comprises the steps: in response to a battery charging demand, determining a predicted temperature of a battery when the vehicle travels to a charging destination, and determining a target temperature expected to be reached when the vehicle performs thermal management control on the battery, and according to the predicted temperature and the target temperature, determining a starting time for performing thermal management control on the battery in the driving process of the vehicle to the charging destination, and performing thermal management control on the battery in the driving process according to the starting time. Therefore, in the running process of the vehicle, the starting time of battery thermal management control is accurately determined, the battery temperature adjusting process before charging is optimized, the battery is in the temperature interval suitable for charging when the battery reaches the charging destination, in this way, energy consumption of in-transit battery thermal management can be reduced, the vehicle charging duration is shortened, and the charging efficiency of the vehicle is improved. The charging efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of vehicles, and in particular to a vehicle, a control method and device thereof, an electronic device, and a storage medium. BACKGROUND

[0002] With the increasing popularity of vehicles, the thermal management performance of batteries has gradually attracted widespread attention. The charging efficiency of a battery is greatly affected by its temperature state, and charging is usually required to be performed within a suitable temperature range. In related technologies, the battery thermal management function of a vehicle is mostly used for temperature adjustment during the charging process or in the parked state of the vehicle. Therefore, how to control the thermal management of the battery during the driving of the vehicle is a problem to be solved at present. SUMMARY

[0003] The present disclosure provides a vehicle, a control method and device thereof, an electronic device, and a storage medium. In the present disclosure, the starting time of the battery thermal management control is accurately determined during the driving of the vehicle, the battery temperature adjustment process before charging is optimized, so that the battery is in a suitable charging temperature range when it reaches the charging destination. This can reduce the energy consumption of the in-transit battery thermal management, shorten the charging time of the vehicle, and improve the charging efficiency.

[0004] The first aspect of the present disclosure provides a vehicle control method, comprising: in response to a battery charging demand, determining a predicted temperature of the battery when a vehicle drives to a charging destination, and determining a target temperature expected to be reached by the vehicle for thermal management control of the battery; determining, according to the predicted temperature and the target temperature, a starting time of the thermal management control of the battery during driving of the vehicle to the charging destination; controlling the thermal management of the battery according to the starting time during the driving.

[0005] The second aspect of the present disclosure provides a vehicle control device, comprising: a first determining module configured to, in response to a battery charging demand, determine a predicted temperature of the battery when a vehicle drives to a charging destination, and determine a target temperature expected to be reached by the vehicle for thermal management control of the battery; a second determining module configured to, according to the predicted temperature and the target temperature, determine a starting time of the thermal management control of the battery during driving of the vehicle to the charging destination; a control module configured to control the thermal management of the battery according to the starting time during the driving.

[0006] The third aspect of the present disclosure provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the above method.

[0007] The fourth aspect of the present disclosure provides a vehicle, comprising a processor, a memory for storing processor-executable instructions, wherein the processor is configured to implement the steps of the above method.

[0008] The fifth aspect of the present disclosure provides a computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, implement the steps of the above method.

[0009] The vehicle and its control method, control device, electronic device and storage medium provided by the present disclosure determine the predicted temperature of the battery when the vehicle travels to the charging destination in response to the battery charging demand, and determine the target temperature expected to be achieved by the vehicle thermal management control of the battery, and determine the start time of the thermal management control of the battery during the driving of the vehicle to the charging destination according to the predicted temperature and the target temperature, and perform the thermal management control of the battery during the driving according to the start time. Therefore, the present disclosure optimizes the battery temperature adjustment process before charging by accurately determining the start time of the battery thermal management control during the driving of the vehicle, so that the battery is in a suitable charging temperature range when it reaches the charging destination, which can reduce the energy consumption of the in-transit battery thermal management, shorten the vehicle charging time, and improve the charging efficiency.

[0010] Additional aspects and advantages of the present disclosure will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0011] The above and / or additional aspects and advantages of the present disclosure will become apparent and be readily appreciated from the following description, including the accompanying drawings, wherein: Figure 1 Flowchart of the vehicle control method according to an embodiment of the present disclosure; Figure 2 Flowchart of determining the heating start time according to an embodiment of the present disclosure; Figure 3 Flowchart of performing the heating management control according to an embodiment of the present disclosure; Figure 4 Flowchart of determining the cooling start time according to an embodiment of the present disclosure; Figure 5 Flowchart of performing the cooling management control according to an embodiment of the present disclosure; Figure 6A block schematic diagram of a vehicle control device according to an embodiment of the present disclosure; Figure 7 A structural schematic diagram of an electronic device according to an embodiment of the present disclosure; Figure 8 A structural schematic diagram of a vehicle according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0012] Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings, in which examples of the embodiments are shown, and wherein the same or similar reference numerals are used throughout to designate the same or similar elements or elements having the same or similar functions. The embodiments described below by reference to the accompanying drawings are exemplary and are intended to explain the present disclosure, and cannot be understood as a limitation of the present disclosure.

[0013] A vehicle and a control method, a control device, an electronic device, and a storage medium according to embodiments of the present disclosure are described below with reference to the accompanying drawings.

[0014] Figure 1 A flowchart of a vehicle control method according to an embodiment of the present disclosure.

[0015] It should be noted that the vehicle control method according to the embodiments of the present disclosure can be applied to a vehicle control device, which in some possible embodiments can be configured in an electronic device, so that the electronic device can perform the control function of the electric drive system.

[0016] The electronic device includes, but is not limited to, a vehicle, a server, a terminal, and the like. The terminal is an entity for receiving or transmitting signals on the user side, such as a mobile phone. The terminal can also be referred to as a terminal device (terminal), user equipment (user equipment, UE for short), a mobile station (mobile station, MS for short), a mobile terminal device (mobile terminal, MT for short), and the like. The terminal can be a vehicle with communication function, a smart vehicle, a mobile phone, a wearable device, a tablet computer (Pad), a computer with wireless transceiver function, a virtual reality (virtual reality, VR for short) terminal, an augmented reality (augmented reality, AR for short) terminal, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical surgery, a wireless terminal in smart grid, a wireless terminal in transportation safety, a wireless terminal in smart city, a wireless terminal in smart home, and the like. When the terminal is a vehicle, the navigation device can be integrally arranged on the center platform display screen of the vehicle smart cabin, connected through the integrated vehicle internal interaction device (such as HUD head-up display, voice module, etc.), and multi-modal interaction experience is provided. The embodiments of the present disclosure do not limit the specific technology and specific device form adopted by the terminal.

[0017] As shown in Figure 1 The vehicle control method of the embodiments of the present disclosure includes the following steps: Step S101, in response to the battery charging demand, determining the predicted temperature of the battery when the vehicle travels to the charging destination, and determining the target temperature expected to be reached by the vehicle for thermal management control of the battery.

[0018] In the present disclosure, the determination of the battery charging demand includes at least one of the following: If the battery charging operation triggered by the vehicle-mounted human-computer interaction interface is monitored, it is determined that the battery has charging demand; If it is monitored that the navigation destination is provided with a charging station, and the remaining range is lower than the set mileage threshold, it is determined that the battery has charging demand; If it is monitored that the actual power of the battery is less than the set power threshold, it is determined that the battery has charging demand.

[0019] In the case where it is determined that the battery has charging demand, the maximum allowed charging power P of the charging pile at the charging destination is obtainedCharger_Nav and maximum allowable charging current I Charger_Nav Among them, the maximum allowable charging power P Charger_Nav and maximum allowable charging current I Charger_Nav This can be provided by navigation, as well as obtaining the battery's maximum permissible charging voltage V. Max And based on the maximum allowable charging current I Charger_Nav and maximum allowable charging voltage V Max Determine the theoretical charging power I Charger_Nav *V Max The maximum allowable charging power P Charger_Nav With theoretical charging power I Charger_Nav *V Max The smaller value in the range is used as the actual allowable charging power P. Charger_max Among them, the actual allowable charging power P Charger_max The calculation formula (1) is as follows: P Charger_max =min(P) Charger_Nav I Charger_Nav *V Max (1) After obtaining the actual allowable charging power P Charger_max Next, it is necessary to determine the remaining State of Charge (SOC) of the vehicle upon reaching the charging destination. END And according to the actual allowable charging power P Charger_max and remaining power SOC END Determine the target temperature T Target Among them, the target temperature T Target The calculation formula (2) is as follows: T Target =f(P) Charger_max SOC END (2) Among them, the actual allowable charging power P Charger_max and remaining power SOC END With target temperature T Target There is a corresponding relationship. This correspondence can be a mapping table or a correspondence formula. Target temperature T Target It can also be referred to as the optimal starting temperature for charging, or the target temperature for thermal management during operation.

[0020] If it is determined that the battery needs charging, it is also necessary to consider the initial state of charge (SOC) at the start of the vehicle's journey. Start The remaining SOC of the vehicle when it reaches its charging destination. END Given the travel time t required for the vehicle to travel from the start of the trip to the charging destination, determine the predicted battery discharge current I. Pre Among them, the predicted current I PreThe calculation formula (3) of the predicted current I (3) Wherein, Q is the rated capacity of the battery.

[0021] After determining the predicted current I Pre , the predicted state of charge SOC of the battery at at least one time during the driving is determined according to the predicted current I Pre . The calculation formula (4) of the predicted state of charge SOC is as follows: (4) Wherein, SOC k and SOC k+1 are the predicted state of charge SOC at the kth time and the (k+1)th time respectively, and △t is the time difference between the (k+1)th time and the kth time.

[0022] After determining the predicted state of charge SOC of the battery at at least one time, the predicted temperature T End is determined according to the at least one predicted state of charge SOC. For example, the battery temperature at any future time (i.e., the predicted temperature) can be calculated according to the battery thermal model and the heat exchange model. The calculation formula (5) of the battery temperature is as follows: (5) Wherein, R(SOC K , T k ) is the battery internal resistance corresponding to the predicted state of charge SOC K and the predicted temperature T k , H is the heat exchange coefficient between the battery and the external environment (the heat exchange coefficient can be obtained by experiment fitting), S is the heat exchange area between the battery and the external environment, T Amb (k) is the ambient temperature at the kth time, C is the specific heat capacity of the battery, and m is the mass of the battery.

[0023] The battery temperature obtained by iteration at the tth time is the battery temperature when driving to the charging destination, i.e., the predicted temperature T End .

[0024] In step S102, the start time of the thermal management control of the battery during the driving of the vehicle to the charging destination is determined according to the predicted temperature and the target temperature.

[0025] After obtaining the predicted temperature T End and the target temperature T Target , the temperature difference between the battery temperature T End and the target temperature T is calculated, and then the start time is determined according to the temperature difference. The larger the temperature difference, the longer the heating or cooling time required, and then the start time needs to be earlier, otherwise.

[0026] Step S103, according to the start time, the battery is controlled in the heat management in the driving.

[0027] In the present disclosure, the start time includes a heating start time and a cooling start time.

[0028] Wherein, if the temperature difference value is less than the first set temperature difference threshold, the battery needs to be heated, at this time the heating start time is determined, and at the heating start time, the in-route heating is started to heat the battery until the actual temperature of the battery is greater than or equal to the heating closing temperature, and the in-route heating is stopped; If the temperature difference value is greater than the second set temperature difference threshold, the battery needs to be cooled, at this time the cooling start time is determined, and at the cooling start time, the in-route cooling is started to cool the battery until the actual temperature of the battery is less than or equal to the cooling closing temperature, and the in-route cooling is stopped.

[0029] Therefore, the vehicle control method of the present disclosure optimizes the battery temperature adjustment process before charging by accurately determining the start time of the battery heat management control in the driving of the vehicle, so that the battery is in a suitable charging temperature range when it reaches the charging destination, which can reduce the energy consumption of the in-route battery heat management, shorten the vehicle charging time, and improve the charging efficiency.

[0030] Figure 2 Flow chart for determining the heating start time for an embodiment of the present disclosure.

[0031] As shown in Figure 2 , the heating start time of the embodiment of the present disclosure includes: Step S201, according to the heating power consumed by the vehicle to heat the battery, determine the battery discharge available energy when the heating management control is started under at least one first candidate electric quantity; wherein any first candidate electric quantity is the predicted electric quantity of the battery in the driving.

[0032] Wherein, the lower limit of the range of the predicted electric quantity SOC is the starting electric quantity SOC Start at the start time of the vehicle trip, and the upper limit of the range of the predicted electric quantity SOC is the remaining electric quantity when the vehicle drives to the charging destination.

[0033] Exemplarily, taking the current electric quantity SOC as the starting point, setting the SOC change interval as 1, traversing to the end of SOC END , according to the predicted electric quantity SOC K and the predicted temperature T k at the k time, calculating the battery discharge available energy E at each electric quantity SOC start time, wherein the calculation formula (6) of the battery discharge available energy E is as follows: (6) Wherein, PHeat heating power consumed by the vehicle for heating the battery.

[0034] At step S202, the heating target electric quantity is determined from the at least one first candidate electric quantity according to the discharge available energy corresponding to the at least one first candidate electric quantity.

[0035] Exemplarily, the maximum value in all the discharge available energies E is taken, and the first candidate electric quantity SOC corresponding to the maximum available energy E is taken as the heating target electric quantity SOC Heat_Start .

[0036] At step S203, the heating start time is determined as the time when the actual electric quantity of the battery reaches the heating target electric quantity.

[0037] Therefore, the heating start time can be accurately determined, the battery temperature heating process before charging is optimized, the battery is in a suitable charging temperature range when reaching the charging destination, the dischargeable capacity of the battery on the way can be improved, the charging time of the vehicle is shortened, and the charging efficiency is improved.

[0038] Figure 3 A flowchart of the heating management control performed by an embodiment of the present disclosure.

[0039] As shown in Figure 3 , the heating management control performed by an embodiment of the present disclosure includes: At S301, the heating start temperature corresponding to the heating start time of the battery is obtained.

[0040] At S302, the heating stop temperature is determined according to the heating start temperature, the predicted temperature, and the target temperature.

[0041] Exemplarily, the calculation formula (7) of the heating stop temperature T Heat_Stop is as follows: (7) At S303, the battery is heated at the heating start time until the actual temperature of the battery is greater than or equal to the heating stop temperature, and the heating is stopped.

[0042] Exemplarily, at the heating start time, the heating component can be controlled to heat the battery until the actual temperature of the battery is greater than or equal to the heating stop temperature T Heat_Stop , and the heating is stopped.

[0043] Therefore, the over-heating or under-heating situation can be avoided, the battery is in a suitable charging temperature range when reaching the charging destination, the charging time of the vehicle is shortened, and the charging efficiency is improved.

[0044] Figure 4This is a flowchart illustrating the determination of the cooling start-up time according to one embodiment of the present disclosure.

[0045] like Figure 4 As shown, determining the cooling start time in this embodiment of the disclosure includes: Step S401: Based on the cooling power consumed by the vehicle to cool the battery, determine the battery discharge energy available when cooling management control is activated at least one second candidate charge level; wherein, any first candidate charge level is the predicted charge level of the battery during driving.

[0046] The lower limit of the predicted SOC range is the initial SOC at the start of the vehicle's journey. Start The upper limit of the predicted State of Charge (SOC) range is the remaining battery power of the vehicle when it reaches its charging destination.

[0047] For example, starting from the current State of Charge (SOC), the SOC change interval is set to 1, and the process is iterated up to the current SOC. END End, based on the predicted SOC at time k. K and predicted temperature T k Calculate the battery discharge energy E at each SOC start time, where the calculation formula (6) for the battery discharge energy E is as follows: (8) Among them, P Cool The cooling power consumed by the vehicle to cool the battery.

[0048] Step S402: Determine the target cooling charge from at least one second candidate charge based on the available discharge energy corresponding to at least one second candidate charge.

[0049] For example, the maximum value among all available discharge energies E can be taken, and the second candidate charge SOC corresponding to the maximum available energy E can be used as the target charge SOC for cooling. Cool_Start .

[0050] Step S403: The moment when the actual battery charge reaches the cooling target charge is taken as the cooling start time.

[0051] Therefore, this disclosure can accurately determine the cooling start time and optimize the battery temperature cooling process before charging, so that the battery is in a suitable charging temperature range when it arrives at the charging destination. This can increase the discharge capacity of the battery on the way, shorten the vehicle charging time, and improve charging efficiency.

[0052] Figure 5 This is a flowchart illustrating the execution of cooling management control according to an embodiment of the present disclosure.

[0053] like Figure 5As shown, the implementation of cooling management control in this embodiment includes: Step S501: Obtain the cooling start temperature corresponding to the moment the battery starts cooling.

[0054] Step S502: Determine the cooling off temperature based on the cooling on-time temperature, the predicted temperature, and the target temperature.

[0055] For example, the cooling shut-off temperature T Heat_Stop The calculation formula (9) is as follows: (9) Step S503: When cooling is turned on, heat the battery until the actual temperature of the battery is less than or equal to the cooling off temperature, and then stop cooling.

[0056] For example, when cooling is turned on, the cooling components can be controlled to cool the battery until the actual temperature of the battery is less than or equal to the cooling off temperature T. Heat_Stop Stop cooling.

[0057] Therefore, this disclosure can avoid overcooling or undercooling, ensuring that the battery is in the appropriate charging temperature range when it reaches the charging destination, thus shortening the vehicle charging time and improving charging efficiency.

[0058] In summary, the vehicle control method proposed in this disclosure, in response to battery charging needs, determines the predicted battery temperature when the vehicle reaches the charging destination, and the target temperature that the vehicle expects to achieve for thermal management control of the battery. Based on the predicted and target temperatures, it determines the activation time for thermal management control of the battery during the journey to the charging destination, and performs thermal management control on the battery during the journey based on the activation time. Therefore, by accurately determining the activation time of battery thermal management control during vehicle travel, this disclosure optimizes the battery temperature regulation process before charging, ensuring that the battery is in a suitable charging temperature range upon arrival at the charging destination. This reduces energy consumption for battery thermal management during the journey, shortens vehicle charging time, and improves charging efficiency.

[0059] To implement the above embodiments, this disclosure also proposes a vehicle control device.

[0060] Figure 6 This is a block diagram of a vehicle control device according to an embodiment of the present disclosure.

[0061] like Figure 6 As shown, the vehicle control device 600 of this embodiment includes: a first determining module 610, a second determining module 620, and a control module 630.

[0062] The first determining module 610 is configured to determine a predicted temperature of the battery when the vehicle travels to a charging destination and determine a target temperature expected to be reached by the vehicle in thermal management control of the battery, in response to a battery charging demand. The second determining module 620 is configured to determine a starting time of the thermal management control of the battery during the travel of the vehicle to the charging destination, according to the predicted temperature and the target temperature. The control module 630 is configured to perform the thermal management control of the battery during the travel, according to the starting time.

[0063] In an embodiment of the present disclosure, the second determining module 620 comprises: A first determining unit configured to determine a temperature difference between the battery temperature and the target temperature. A second determining unit configured to determine the starting time according to the temperature difference. In an embodiment of the present disclosure, the starting time comprises a heating starting time and a cooling starting time. The second determining unit comprises: A first determining sub-unit configured to determine the heating starting time, in response to the temperature difference being less than a first set temperature difference threshold. A second determining sub-unit configured to determine the cooling starting time, in response to the temperature difference being greater than a second set temperature difference threshold.

[0064] In an embodiment of the present disclosure, the first determining sub-unit, when determining the heating starting time, comprises: determining, according to a heating power consumed by the vehicle in heating of the battery, a discharging available energy of the battery at the starting time of the heating management control under at least one first candidate electric quantity; any first candidate electric quantity is a predicted electric quantity of the battery during the travel. determining, according to the discharging available energy corresponding to the at least one first candidate electric quantity, a heating target electric quantity from the at least one first candidate electric quantity. determining, as the heating starting time, a time when an actual electric quantity of the battery reaches the heating target electric quantity.

[0065] In an embodiment of the present disclosure, the control module 630, when performing the thermal management control of the battery during the travel according to the starting time, comprises: obtaining a heating starting temperature of the battery corresponding to the heating starting time; determining a heating closing temperature according to the heating starting temperature, the predicted temperature and the target temperature; heating the battery at the heating starting time until an actual temperature of the battery is greater than or equal to the heating closing temperature, and stopping the heating.

[0066] In an embodiment of the present disclosure, the first determining sub-unit, when determining the cooling starting time, comprises: determine, according to the cooling power consumed by the vehicle for cooling the battery, available energy for discharging the battery when the cooling management control is started at the at least one second candidate electric quantity; wherein any first candidate electric quantity is a predicted electric quantity of the battery during the trip; determine, from the at least one second candidate electric quantity, a cooling target electric quantity according to the available energy for discharging corresponding to the at least one second candidate electric quantity; determine, as the cooling start time, a time when the actual electric quantity of the battery reaches the cooling target electric quantity.

[0067] In an embodiment of the present disclosure, the control module 630 is configured to, according to the cooling start time, perform the thermal management control on the battery during the trip, and the thermal management control comprises: obtain a cooling start temperature corresponding to the cooling start time of the battery; determine a cooling stop temperature according to the cooling start temperature, the predicted temperature and the target temperature; heat the battery at the cooling start time until the actual temperature of the battery is less than or equal to the cooling stop temperature, and stop the cooling.

[0068] In an embodiment of the present disclosure, the lower limit of the range of the predicted electric quantity is a starting electric quantity at a starting time of the trip of the vehicle, and the upper limit of the range of the predicted electric quantity is a remaining electric quantity when the vehicle travels to the charging destination.

[0069] In an embodiment of the present disclosure, the first determination module 610 is configured to determine a target temperature expected to be reached by the vehicle when performing the thermal management control on the battery during the trip, and the target temperature comprises: determine an actual allowed charging power of a charging pile at the charging destination; determine a remaining electric quantity when the vehicle travels to the charging destination; determine the target temperature according to the actual allowed charging power and the remaining electric quantity.

[0070] In an embodiment of the present disclosure, the first determination module 610 is configured to determine the actual allowed charging power of the charging pile at the charging destination, and the actual allowed charging power comprises: obtain a maximum allowed charging power and a maximum allowed charging current of the charging pile at the charging destination, and a maximum allowed charging voltage of the battery; determine a theoretical charging power based on the maximum allowed charging current and the maximum allowed charging voltage; determine the actual allowed charging power as a smaller value between the maximum allowed charging power and the theoretical charging power.

[0071] In an embodiment of the present disclosure, the first determination module 610 is configured to determine a predicted temperature of the battery when the vehicle travels to the charging destination, and the predicted temperature comprises: determine the predicted temperature according to the at least one predicted electric quantity. determine the predicted electric quantity of the battery at at least one time during the driving according to the predicted current; determine the predicted temperature according to the at least one predicted electric quantity.

[0072] In an embodiment of the present disclosure, the battery charging demand comprises at least one of the following: monitoring that the battery charging operation triggered by the vehicle-mounted human-computer interaction interface; monitoring that the navigation destination is provided with a charging station and the remaining range is lower than a set range threshold; monitoring that the actual electric quantity of the battery is less than a set electric quantity threshold.

[0073] It should be noted that the foregoing explanation and description of the vehicle control method embodiment are also applicable to the vehicle control device of the embodiment, which will not be described here.

[0074] The vehicle control device of the embodiment of the present disclosure determines the predicted temperature of the battery when the vehicle drives to the charging destination and determines the target temperature expected to be reached by the thermal management control of the vehicle on the battery in response to the battery charging demand through the first determination module, determines the starting time of the thermal management control on the battery during the driving of the vehicle to the charging destination according to the predicted temperature and the target temperature through the second determination module, and controls the thermal management control on the battery during the driving according to the starting time through the control module. Therefore, the present disclosure optimizes the battery temperature adjustment process before charging by accurately determining the starting time of the battery thermal management control during the driving of the vehicle, so that the battery is in a suitable charging temperature range when it reaches the charging destination, which can reduce the energy consumption of the in-transit battery thermal management, shorten the charging time of the vehicle, and improve the charging efficiency.

[0075] In order to realize the above-mentioned embodiments, the present disclosure further provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to realize the steps of the vehicle control method according to any one of the foregoing embodiments.

[0076] Figure 7 FIG. 7 is a structural schematic diagram of an electronic device provided by an embodiment of the present disclosure. For example, the electronic device 700 can be a mobile phone, a computer, a digital broadcast terminal, a message transmission device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0077] Reference Signs List Figure 7The electronic device 700 can include one or more of the following components: a processing component 702, a memory 704, a power component 706, a multimedia component 708, an audio component 710, an input / output (I / O) interface 712, a sensor component 714, and a communication component 716.

[0078] The processing component 702 usually controls overall operations of the electronic device 700, such as operations associated with displaying, making phone calls, data communications, camera operations, and recording operations. The processing component 702 can include one or more processors 721 to execute instructions to complete all or part of steps of the above methods. In addition, the processing component 702 can include one or more modules to facilitate the interaction between the processing component 702 and other components. For example, the processing component 702 can include a multimedia module to facilitate the interaction between the multimedia component 708 and the processing component 702.

[0079] The memory 704 is configured to store various types of data to support operations of the electronic device 700. Examples of the data include instructions for any application or method operating on the electronic device 700, contact data, phonebook data, messages, pictures, videos, and the like. The memory 704 can be implemented by any type of volatile or non-volatile storage devices or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0080] The power component 706 provides power to the components of the electronic device 700. The power component 706 can include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 700.

[0081] The multimedia component 708 includes a screen providing an output interface between the electronic device 700 and a user. In some embodiments, the screen includes a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense a touch, a slide and a gesture on the touch panel. The touch sensor can not only sense a boundary of a touching or a sliding action, but also detect duration and pressure related to the touching or sliding action. In some embodiments, the multimedia component 708 includes a front camera and / or a rear camera. When the electronic device 700 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front camera and the rear camera can be a fixed optical lens system or have a focal length and optical zoom capability.

[0082] The audio component 710 is configured to output and / or input an audio signal. For example, the audio component 710 includes a microphone (MIC) configured to receive an external audio signal when the electronic device 700 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal can be further stored in the memory 704 or transmitted via the communication component 716. In some embodiments, the audio component 710 also includes a speaker for outputting an audio signal.

[0083] The I / O interface 712 provides an interface between the processing component 702 and peripheral interface modules, which can be a keypad, a click wheel, buttons, and the like. The buttons can include, but are not limited to, a home button, a volume button, a start button, and a lock button.

[0084] The sensor component 714 includes one or more sensors for providing status assessments for various aspects of the electronic device 700. For example, the sensor component 714 can detect an open / closed position of the electronic device 700, relative positioning of components of the electronic device 700, such as a display and a keypad of the electronic device 700, changes in position of the electronic device 700 or a component of the electronic device 700, presence or absence of user contact with the electronic device 700, orientation or acceleration / deceleration / g-force and temperature changes of the electronic device 700. The sensor component 714 can include an accelerometer to measure a change in direction or speed of the electronic device 700. The sensor component 714 can also include a proximity sensor configured to detect presence of nearby objects without any physical contact. The sensor component 714 can further include a light sensor, such as a complementary metal-oxide-semiconductor (CMOS) or charge-coupled device (CCD) image sensor, utilized in an imaging application. In some embodiments, the sensor component 714 can also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0085] The communication component 716 is configured to facilitate wired or wireless communication between the electronic device 700 and other devices. The electronic device 700 can access a wireless network based on a communication standard, such as WiFi, 4G, or 5G, or a combination thereof. In an example embodiment, the communication component 716 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an example embodiment, the communication component 716 can further include a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra-WideBand (UWB) technology, Bluetooth (BT) technology and other technology.

[0086] In an example embodiment, the electronic device 700 can be implemented by one or more Application-Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field-Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic elements for executing the above-described methods.

[0087] In an example embodiment, a computer-readable storage medium including instructions, such as the memory 704 including instructions, is also provided, which can be executed by the processor 721 of the electronic device 700 to complete the above-described methods. For example, the computer-readable storage medium can be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact Disc Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0088] To implement the above-described embodiments, the present disclosure also proposes a vehicle, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to implement the steps of the vehicle control method as described in any of the preceding embodiments.

[0089] Figure 8 A structural schematic diagram of a vehicle provided by an embodiment of the present disclosure is shown in FIG. 8. For example, the vehicle 800 can be a hybrid vehicle, or can be a non-hybrid vehicle, an electric vehicle, a fuel cell vehicle, or other types of vehicles. The vehicle 800 can be an autonomous vehicle, a semi-autonomous vehicle, or a non-autonomous vehicle.

[0090] Referring to Figure 8 The vehicle 800 can include various subsystems, such as an infotainment system 810, a perception system 820, a decision control system 830, a drive system 840, a computing platform 850, and a control system 660 for a lift roof. The vehicle 800 can also include more or fewer subsystems, and each subsystem can include multiple components. In addition, each subsystem and each component of the vehicle 800 can be interconnected by wired or wireless means.

[0091] In some embodiments, infotainment system 810 can include a communication system, an entertainment system, and control devices for a vehicle liftgate, among others.

[0092] Sensing system 820 can include several sensors for sensing information of the environment surrounding vehicle 800. For example, sensing system 820 can include a global positioning system (which can be a GPS system, a Beidou system, or other positioning system), an inertial measurement unit (IMU), a lidar, a millimeter wave radar, an ultrasonic radar, and a camera.

[0093] Decision control system 830 can include a computing system, a vehicle controller, a steering system, a throttle, and a braking system.

[0094] Drive system 840 can include components that provide powered motion for vehicle 800. In one embodiment, drive system 840 can include an engine, an energy source, a transmission system, and wheels. The engine can be one or a combination of an internal combustion engine, an electric motor, an air compression engine, or the like. The engine can convert energy provided by the energy source into mechanical energy.

[0095] Some or all functions of vehicle 800 are controlled by computing platform 850. Computing platform 850 can include at least one processor 851 and memory 852, and processor 851 can execute instructions 853 stored in memory 852.

[0096] Processor 851 can be any conventional processor, such as commercially available CPUs. The processor can also include a graphics processing unit (GPU), a field programmable gate array (FPGA), a system on chip (SOC), an application specific integrated circuit (ASIC), or a combination thereof.

[0097] Memory 852 can be implemented by any type of volatile or nonvolatile memory devices or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, magnetic disks, or optical disks.

[0098] In addition to instructions 853, memory 852 can store data, such as road maps, route information, vehicle position, direction, speed, etc. The data stored by memory 852 can be used by computing platform 850.

[0099] In embodiments of the present disclosure, processor 851 can execute instructions 853 to complete all or part of the steps of the method embodiments described above.

[0100] To implement the above embodiments, the present disclosure further proposes a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the steps of the vehicle control method according to any one of the method embodiments described above.

[0101] To implement the above embodiments, the present disclosure further proposes a computer program product, which stores a computer program, and the program is executed by a processor to implement the steps of the vehicle control method according to any one of the method embodiments described above.

[0102] In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples, without contradiction.

[0103] In addition, the terms "first", "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present disclosure, the meaning of "a plurality of" is at least two, for example, two, three, etc., unless otherwise specifically limited.

[0104] Any process or method descriptions or any other descriptions in the flow charts or otherwise described herein can be understood as representing code modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions (or steps) in the process, and the various embodiments of the present disclosure include additional implementations in which the order of the steps can be different, including use of simultaneous processes or steps, or the steps can be performed in reverse order, or at least some steps can be performed concurrently, or with prior steps or other steps performed simultaneously or in other suitable sequences.

[0105] The logic and / or steps represented in flow diagrams or otherwise described herein, for example, can be considered as a sequence of instructions to implement logic functions, and can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device, such as a computer-based system, processor- containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In the context of this specification, a "computer-readable medium" can be any means that can contain, store, communicate, propagate or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer-readable medium can be a machine-readable storage device (e.g., magnetic, optical or other) a machine-readable storage diskette (e.g., floppy disk, optical disk, etc.), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), optical fibers, and a portable compact disc read-only memory (CDROM). Further, the computer-readable medium can even be paper or other suitable medium upon which the program is printed, as the program can be electronically captured, for example via the optical scanner of a device or other electronic capture device, and then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and stored in a computer memory.

[0106] It should be understood that portions of the present disclosure can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, the various steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As such, if implemented in hardware and in another embodiment, any of the following technologies, known in the art, or their combinations, can be used to implement: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field-programmable gate arrays (FPGA), and the like.

[0107] Those skilled in the art can understand that all or part of the steps carried out by the above-mentioned embodiment method can be completed by a program instructing the relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one of the steps of the method embodiment or a combination thereof.

[0108] In addition, each functional unit in each embodiment of the present disclosure can be integrated in one processing module, or each unit can exist physically separately, or two or more units can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software functional module. When the integrated module is realized in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0109] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it should be understood that the above-mentioned embodiments are exemplary and should not be construed as limiting the present disclosure, and those skilled in the art can make changes, modifications, replacements and variations to the above-mentioned embodiments within the scope of the present disclosure.

Claims

1. A vehicle control method characterized by, The method comprises: determining a predicted temperature of the battery when the vehicle travels to a charging destination in response to a battery charging demand, and determining a target temperature expected to be reached by the vehicle in thermal management control of the battery; determining, according to the predicted temperature and the target temperature, a start time of the thermal management control of the battery during travel of the vehicle to the charging destination; controlling the thermal management of the battery during the travel according to the start time.

2. The method of claim 1, wherein, The determining, according to the battery temperature and the target temperature, of the start time of the thermal management control of the battery during the travel of the vehicle to the charging destination comprises: determining a temperature difference between the battery temperature and the target temperature; determining the start time according to the temperature difference.

3. The method of claim 2, wherein, The start time comprises a heating start time and a cooling start time; The determining, according to the temperature difference, of the start time comprises: determining the heating start time in response to the temperature difference being less than a first set temperature difference threshold; determining the cooling start time in response to the temperature difference being greater than a second set temperature difference threshold.

4. The method of claim 3, wherein, The determining of the heating start time comprises: determining, according to heating power consumed by the vehicle in heating of the battery, discharge available energy of the battery when heating management control is started under at least one first candidate electric quantity; wherein any first candidate electric quantity is a predicted electric quantity of the battery during the travel; determining, from the at least one first candidate electric quantity, a heating target electric quantity according to discharge available energy corresponding to the at least one first candidate electric quantity; determining, as the heating start time, a time when an actual electric quantity of the battery reaches the heating target electric quantity.

5. The method of claim 4, wherein, The controlling of the thermal management of the battery during the travel according to the start time comprises: obtaining a heating start temperature of the battery corresponding to the heating start time; determining a heating stop temperature according to the heating start temperature, the predicted temperature and the target temperature; heating the battery at the heating start time until an actual temperature of the battery is greater than or equal to the heating stop temperature, and stopping heating.

6. The method of claim 3, wherein, The determining of the cooling start time comprises: determining, according to cooling power consumed by the vehicle in cooling of the battery, discharge available energy of the battery when cooling management control is started under at least one second candidate electric quantity; wherein any first candidate electric quantity is a predicted electric quantity of the battery during the travel; determining, from the at least one second candidate electric quantity, a cooling target electric quantity according to discharge available energy corresponding to the at least one second candidate electric quantity; determining, as the cooling start time, a time when an actual electric quantity of the battery reaches the cooling target electric quantity.

7. The method of claim 6, wherein, The controlling of the thermal management of the battery during the travel according to the start time comprises: obtaining a cooling start temperature of the battery corresponding to the cooling start time; determining a cooling stop temperature according to the cooling start temperature, the predicted temperature and the target temperature; The battery is heated until the actual temperature of the battery is less than or equal to the cooling-off temperature at the cooling-on time.

8. The method according to claim 4 or 6, characterized in that, The lower limit of the range of the predicted electric quantity is a starting electric quantity at a starting time of the vehicle trip, and the upper limit of the range of the predicted electric quantity is a remaining electric quantity when the vehicle travels to the charging destination.

9. The method according to any one of claims 1-7, characterized in that, The target temperature that the vehicle is expected to reach by performing thermal management control on the battery during the vehicle trip is determined by: determining an actual allowable charging power of a charging pile at the charging destination; determining a remaining electric quantity when the vehicle travels to the charging destination; determining the target temperature according to the actual allowable charging power and the remaining electric quantity.

10. The method of claim 9, wherein, The actual allowable charging power of the charging pile at the charging destination is determined by: obtaining a maximum allowable charging power and a maximum allowable charging current of the charging pile at the charging destination, and a maximum allowable charging voltage of the battery; determining a theoretical charging power based on the maximum allowable charging current and the maximum allowable charging voltage; taking the smaller value between the maximum allowable charging power and the theoretical charging power as the actual allowable charging power.

11. The method according to any one of claims 1-7, characterized in that, The predicted temperature of the battery when the vehicle travels to the charging destination is determined by: determining a predicted electric current of the battery according to a starting electric quantity at a starting time of the vehicle trip, a remaining electric quantity when the vehicle travels to the charging destination, and a travel time required for the vehicle to travel from the starting time to the charging destination; determining a predicted electric quantity of the battery at at least one time during the vehicle trip according to the predicted electric current; determining the predicted temperature according to at least one predicted electric quantity.

12. The method of claim 1, wherein, The battery charging demand includes at least one of: monitoring a battery charging operation triggered by a vehicle-mounted human-computer interaction interface; monitoring that a charging station is provided at a navigation destination, and that a remaining range is less than a set range threshold; monitoring that an actual electric quantity of the battery is less than a set electric quantity threshold.

13. A vehicle control device characterized by comprising: It includes: a first determination module configured to determine a predicted temperature of the battery when the vehicle travels to a charging destination, and to determine a target temperature that the vehicle is expected to reach by performing thermal management control on the battery, in response to a battery charging demand; a second determination module configured to determine an on time of thermal management control on the battery during a vehicle trip to the charging destination, according to the predicted temperature and the target temperature; a control module configured to perform thermal management control on the battery during the vehicle trip according to the on time.

14. The apparatus of claim 13, wherein, The second determination module includes: a first determination unit configured to determine a temperature difference between the battery temperature and the target temperature; a second determination unit configured to determine the on time according to the temperature difference.

15. The apparatus of claim 14, wherein, The on time includes a heating-on time and a cooling-on time. The second determination unit includes: a first determination sub-unit configured to determine the heating-on time in response to the temperature difference being less than a first set temperature difference threshold; a second determination sub-unit configured to determine the cooling-on time in response to the temperature difference being greater than a second set temperature difference threshold.

16. The apparatus of claim 15, wherein, The first determining sub-unit is configured to determine the heating start time, including: determining, according to a heating power consumed by the vehicle for heating the battery, a discharge available energy of the battery at a heating management control start time under at least one first candidate electric quantity; wherein any first candidate electric quantity is a predicted electric quantity of the battery during the driving trip; determining, according to a discharge available energy corresponding to the at least one first candidate electric quantity, a heating target electric quantity from the at least one first candidate electric quantity; determining, as the heating start time, a time when an actual electric quantity of the battery reaches the heating target electric quantity.

17. The apparatus of claim 15, wherein, The first determining sub-unit is configured to determine the cooling start time, including: determining, according to a cooling power consumed by the vehicle for cooling the battery, a discharge available energy of the battery at a cooling management control start time under at least one second candidate electric quantity; wherein any first candidate electric quantity is a predicted electric quantity of the battery during the driving trip; determining, according to a discharge available energy corresponding to the at least one second candidate electric quantity, a cooling target electric quantity from the at least one second candidate electric quantity; determining, as the cooling start time, a time when an actual electric quantity of the battery reaches the cooling target electric quantity.

18. An electronic device, comprising: A computer program product comprising a memory, a processor and computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1-12 when executing the program.

19. A vehicle characterized by comprising: comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: implement the steps of the method according to any one of claims 1-12.

20. A computer-readable storage medium having stored thereon computer program instructions, wherein, The program instructions, when executed by the processor, implement the steps of the method according to any one of claims 1-12.

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