Energy calculation method, electronic device, storage medium, and vehicle

Abstract

An energy calculation method, which is applied to an electronic device, a readable storage medium and a vehicle. The method comprises: calculating total energy consumption of a vehicle on the basis of operation information of the vehicle and a preset total energy consumption calculation model; and calculating a remaining battery level and a remaining fuel level of the vehicle on the basis of the operation information, the total energy consumption of the vehicle, and an operating mode of the vehicle.

Description

Energy calculation method, electronic device, storage medium and vehicle

[0001] The present disclosure claims priority to the patent application with the patent application number “202411038108.X” filed on July 31, 2024 with the China National Intellectual Property Bureau, the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

[0002] The present disclosure relates to the technical field of vehicles, and more particularly, to an energy calculation method, an electronic device, a storage medium and a vehicle. BACKGROUND

[0003] A hybrid vehicle is equipped with both a battery and a fuel engine, and a user needs to reasonably arrange the charging and refueling time according to the calculated remaining battery capacity and remaining fuel quantity. Therefore, how to accurately calculate the remaining battery capacity and the remaining fuel quantity becomes a problem to be solved.

[0004] DISCLOSURE

[0005] The present disclosure provides an energy calculation method, an electronic device, a non-volatile computer-readable storage medium and a vehicle.

[0006] The energy calculation method of the present disclosure is applied to a vehicle, and the method comprises calculating the total energy consumption of the vehicle according to the running information of the vehicle and a preset total energy consumption calculation model; calculating the remaining battery capacity of the vehicle according to the running information, the working mode of the vehicle and an electric energy calculation model associated with the working mode; and calculating the remaining fuel quantity of the vehicle based on the running information, the total energy consumption and the remaining battery capacity.

[0007] In some embodiments, the running information comprises a current battery capacity, and the calculating the remaining battery capacity and the remaining fuel quantity of the vehicle according to the running information, the total energy consumption of the vehicle and the working mode of the vehicle comprises: in the case that the working mode is a hybrid mode, calculating the remaining battery capacity of the vehicle according to the current battery capacity and an electric energy calculation model associated with the hybrid mode; and calculating the remaining fuel quantity of the vehicle based on at least one of the running information, the total energy consumption and the remaining battery capacity.

[0008] In some embodiments, the operation information further comprises a power conservation mode of the vehicle, and the calculating the remaining electric quantity of the vehicle according to the current electric quantity and the electric energy calculation model associated with the hybrid mode comprises: obtaining historical operation information of the vehicle; and calculating the remaining electric quantity of the vehicle according to the historical operation information of the vehicle and the electric energy calculation model corresponding to the power conservation mode.

[0009] In some embodiments, the power conservation mode comprises a forced power conservation mode, and the calculating the remaining electric quantity of the vehicle according to the historical operation information of the vehicle and the electric energy calculation model corresponding to the power conservation mode comprises: training a first electric energy calculation model corresponding to the forced power conservation mode according to the historical operation information, so that the first electric energy calculation model converges; and calculating the remaining electric quantity of the vehicle based on the converged first electric energy calculation model.

[0010] In some embodiments, the power conservation mode comprises an intelligent power conservation mode, and the calculating the remaining electric quantity of the vehicle according to the historical operation information of the vehicle and the electric energy calculation model corresponding to the power conservation mode further comprises: training a second electric energy calculation model corresponding to the intelligent power conservation mode based on the historical operation information, so that the second electric energy calculation model converges; and calculating the remaining electric quantity of the vehicle based on the converged second electric energy calculation model.

[0011] In some embodiments, the obtaining the historical operation information of the vehicle comprises: performing screening and interpolation on exported information of a big data platform based on preset screening parameters and preset interpolation rules to obtain intermediate operation information; and obtaining historical operation information corresponding to multiple historical trips based on preset screening conditions and the intermediate operation information.

[0012] In some embodiments, the operation information further comprises a total electric energy of a battery and a current oil quantity, and the calculating the remaining oil quantity of the vehicle based on the total energy consumption and the remaining electric quantity comprises: calculating the remaining oil quantity according to the total electric energy of the battery, the total energy consumption, the remaining electric quantity, the current oil quantity, the current electric quantity and a preset oil-electricity conversion coefficient.

[0013] In some embodiments, when the current power is greater than or equal to the preset balance point threshold, the electric energy calculation model associated with the hybrid mode is the total energy consumption calculation model, and the calculating the remaining power of the vehicle according to the current power and the electric energy calculation model associated with the hybrid mode further comprises: calculating the remaining power based on the total energy consumption and the current power; and the calculating the remaining oil of the vehicle based on at least one of the running information, the total energy consumption and the remaining power of the vehicle comprises: calculating the remaining oil of the vehicle based on the current oil in the running information.

[0014] In some embodiments, the running information comprises a current power and a current oil, and the calculating the remaining power and the remaining oil of the vehicle according to the running information, the total energy consumption of the vehicle and the working mode of the vehicle comprises: when the working mode is the pure electric mode, calculating the remaining power of the vehicle according to the current power and the total energy consumption; and calculating the remaining oil of the vehicle according to the current oil.

[0015] In some embodiments, the calculating the total energy consumption of the vehicle according to the running information of the vehicle and a preset total energy consumption calculation model comprises: calculating the total energy consumption based on the total energy consumption calculation model and the running information including a driving distance, a driving time, a working mode and a driving style.

[0016] In some embodiments, the running information comprises a current power, and the method further comprises: when the current power is greater than the preset balance point threshold, confirming the power supply of the battery of the vehicle to determine the working mode of the vehicle during the running based on the power supply of the battery.

[0017] In some embodiments, the method further comprises: when the remaining power is less than a preset power threshold, calculating a driving position of the vehicle when the power of the vehicle decreases to the preset power threshold, and displaying a charging station closest to the driving position; and when the remaining oil is less than a preset oil threshold, calculating a driving position of the vehicle when the oil of the vehicle decreases to the preset oil threshold, and displaying a gas station closest to the driving position.

[0018] The electronic device of the embodiments of the present disclosure comprises a processor, a memory and a computer program, wherein the computer program is stored in the memory and executed by the processor, and the computer program comprises instructions for executing the energy calculation method of any one of the above embodiments.

[0019] The non-volatile computer readable storage medium of the embodiment of the present disclosure comprises a computer program, which, when executed by a processor, causes the processor to execute the energy calculation method of any of the above embodiments.

[0020] The vehicle of the embodiment of the present disclosure comprises the electronic device of any of the above embodiments.

[0021] The energy calculation method, the electronic device, the non-volatile computer readable storage medium and the vehicle of the embodiment of the present disclosure can calculate the total energy consumption of the vehicle during driving according to the running information of the vehicle and the total energy consumption calculation model. Then, the remaining battery capacity and the remaining fuel capacity of the vehicle are calculated according to the running information, the total energy consumption of the vehicle and the working mode of the vehicle. For example, in the case that the working mode is pure electric mode, or the working mode is hybrid mode and the current battery capacity is greater than the preset balance point threshold, the corresponding electric energy calculation model is the total energy consumption calculation model, and the total energy consumption calculated is the energy output by the battery, so the remaining battery capacity of the vehicle can be determined based on the total energy consumption. Then the remaining fuel capacity is directly determined based on the current fuel capacity. In the case that the working mode is hybrid mode and the current battery capacity is less than the preset balance point threshold, the remaining battery capacity can be calculated according to the running information and the corresponding electric energy calculation model. Then the fuel consumption of the vehicle is determined based on the total energy consumption and the remaining battery capacity, so as to determine the remaining fuel capacity of the vehicle. In this way, the total energy consumption, the remaining battery capacity and the remaining fuel capacity of the vehicle in different working modes can be accurately calculated, so as to facilitate the user to reasonably arrange the charging and refueling time according to the remaining battery capacity and the remaining fuel capacity.

[0022] Additional aspects and advantages of the embodiments of the present disclosure will be in part apparent and in part pointed out hereinafter in the description of the embodiments of the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0023] The above and / or additional aspects and advantages of the present disclosure will become apparent and be readily appreciated from the description of the embodiments, taken in conjunction with the following drawings in which:

[0024] FIG. 1 is a scenario diagram of an energy calculation method according to some embodiments of the present disclosure;

[0025] FIG. 2 is a flow diagram of an energy calculation method according to some embodiments of the present disclosure;

[0026] FIG. 3 is a scenario diagram of an energy calculation method according to some embodiments of the present disclosure;

[0027] FIG. 4 is a flow diagram of an energy calculation method according to some embodiments of the present disclosure;

[0028] FIG. 5 is a flow diagram of an energy calculation method according to some embodiments of the present disclosure;

[0029] FIG. 6 is a flowchart of an energy calculation method according to an embodiment of the present disclosure;

[0030] FIG. 7 is a flowchart of an energy calculation method according to an embodiment of the present disclosure;

[0031] FIG. 8 is a flowchart of an energy calculation method according to an embodiment of the present disclosure;

[0032] FIG. 9 is a flowchart of an energy calculation method according to an embodiment of the present disclosure;

[0033] FIG. 10 is a flowchart of an energy calculation method according to an embodiment of the present disclosure;

[0034] FIG. 11 is a flowchart of an energy calculation method according to an embodiment of the present disclosure;

[0035] FIG. 12 is a flowchart of an energy calculation method according to an embodiment of the present disclosure;

[0036] FIG. 13 is a flowchart of an energy calculation method according to an embodiment of the present disclosure;

[0037] FIG. 14 is a block diagram of an energy calculation device according to an embodiment of the present disclosure;

[0038] FIG. 15 is a block diagram of an electronic device according to an embodiment of the present disclosure;

[0039] FIG. 16 is a connection state diagram of a non-volatile computer-readable storage medium and a processor according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0040] Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. Examples of the embodiments are illustrated in the drawings, wherein the same or similar components are denoted by the same or similar reference numerals throughout. The embodiments described below are examples for explaining the embodiments of the present disclosure and should not be understood as limiting the embodiments of the present disclosure.

[0041] For the convenience of understanding the present disclosure, the terms appearing in the present disclosure are explained as follows:

[0042] State Of Charge (SOC): The proportion of the available amount of electricity in the battery to the nominal capacity.

[0043] SOC balance point: The target value of the vehicle electricity balance. It is used to indicate the state of charge that the vehicle owner expects the vehicle to reach during driving. As long as the SOC target value is adjusted to be higher than the actual SOC remaining amount in daily use, the DM-i engine will continue to generate electricity and try to maintain the electricity at the target point, achieving the purpose of preserving electricity and extending the cruising range.

[0044] Working mode: the way of energy management and distribution of vehicle power system under different working conditions. For plug-in hybrid vehicles, the working mode of the whole vehicle is divided into electric vehicle (EV) mode and hybrid electric vehicle (HEV) mode.

[0045] Running mode: preset mode provided on the vehicle to provide different driving experience. These modes change the performance of the vehicle by adjusting the engine, motor, throttle response, steering assist, stability control system and other parameters. Running mode is mainly divided into: economy mode, normal mode and sports mode.

[0046] Power preservation mode: the control strategy of maintaining the SOC near the SOC balance point. According to the target and applicable scene, it is divided into intelligent power preservation and forced power preservation. The goal of intelligent power preservation is to save energy, and advanced sensors and algorithms are used to monitor and adjust the running state of the equipment in real time to achieve efficient use of energy; the goal of forced power preservation is to ensure that the electrical equipment can operate normally at any time, and forced means are used to ensure that the power is above the SOC balance point.

[0047] The application scenario of the technical solution of the present disclosure will be introduced first. As shown in FIG. 1, it is an application scenario diagram of an energy calculation method provided by the embodiment of the present disclosure. The embodiment of the present disclosure is applied to a vehicle.

[0048] Specifically, the vehicle is a hybrid vehicle, and the vehicle includes a battery, an engine and a generator. When the battery has sufficient power, the working mode of the vehicle is electric mode, and at this time the vehicle is powered entirely by the battery. When the battery has insufficient power, the working mode of the vehicle is hybrid mode, and at this time the engine drives the generator to generate electricity to drive the vehicle, and the electricity generated by the generator may also be used to charge the battery. Therefore, the battery may be in a charging state, a discharging state or a charging and discharging state during this process.

[0049] The vehicle includes a processor, a central control system and a battery management system. The processor, such as a vehicle control unit (VCU), is used to collect real-time information of the running state of the vehicle, such as the SOC balance point, the working mode, the current fuel quantity, the running mode and the power preservation mode. The battery management system (BMS) is used to collect information of the battery, such as the current power. The central control system is equipped with a car navigation application to realize real-time interaction of cloud algorithm and car navigation and vehicle CAN signal. The current running information of the vehicle can be obtained according to the processor, the central control system and the battery management system.

[0050] The operation information of the vehicle includes operation data and navigation data. The operation data can include a current power, a current oil, a SOC balance point, an operation mode, a trip starting power interval and a power balance point interval. The trip starting power interval, the power balance point interval and the K-means clustering algorithm are generated. The current power corresponds to the power at the beginning of the trip, and the current oil corresponds to the oil at the beginning of the trip. The navigation data can include a driving distance, a trip time and an average speed. Of course, the operation data can also include a driving style, which can also affect the consumption of power. In the same mileage, the faster the vehicle, the more power it consumes. The driving style is determined according to the historical acceleration and the historical throttle depth, and the driving style includes an aggressive type, a normal type and a conservative type. It can be understood that the greater the historical acceleration and the deeper the historical throttle depth, the more aggressive the driving style. Therefore, in the case of calculating the total energy consumption, the remaining power and the remaining oil, the driving style can be added as an influencing factor to make the calculation of the total energy consumption, the remaining power and the remaining oil more accurate.

[0051] The energy calculation method of the present disclosure is described in detail as follows:

[0052] Referring to FIG. 2, the energy calculation method provided by the present disclosure is applied to a vehicle, and the energy calculation method comprises the following steps:

[0053] Step 01: According to the operation information of the vehicle and the preset total energy consumption calculation model, the total energy consumption of the vehicle is calculated;

[0054] Specifically, the total energy consumption refers to the total energy used for driving in the driving process of the vehicle. The total energy consumption can correspond to the power generated when the battery is discharged, or can correspond to the power generated when the engine drives the generator. The specific determination needs to be determined according to the working mode and the working state of the vehicle. For example, in the case of the working mode being the pure electric mode, the total energy consumption corresponds to the power generated when the battery is discharged. In the case of the working mode being the hybrid mode, the total energy consumption can only correspond to the power generated when the engine drives the generator, at this time the battery is not discharged, and the total energy consumption can also correspond to the power generated when the engine drives the generator and the power generated when the battery is discharged, at this time the battery is discharged.

[0055] A total energy consumption calculation model can be pre-trained according to historical operation information. The historical operation information can be the operation information of a vehicle of the same type as the vehicle on a big data platform. Specifically, the operation data and the navigation data of the vehicle in a certain trip and the total energy consumption consumed by the vehicle when ending the trip can be determined according to the historical operation information. Then, the total energy consumption calculation model is trained according to the operation data, the navigation data and the total energy consumption corresponding to multiple trips.

[0056] Therefore, in the case that the user uses the car-machine navigation function, the current running information of the vehicle can be acquired, and the total energy consumption is calculated based on the total energy consumption calculation model and the driving distance, driving time, working mode and driving style in the running information, so as to determine the total energy consumed by the vehicle after driving in the current working mode. In addition, other running information can also be acquired, such as the running data such as the total battery energy, the total oil amount in the oil tank, the preset oil-electricity conversion coefficient, the current electric quantity, the current oil amount, the preset balance point threshold, the running mode and the driving style, and the navigation data such as the average vehicle speed, wherein the navigation data can be determined according to the vehicle-mounted navigation system. Then, the running information is input into the total energy consumption calculation model to calculate the total energy consumption of the vehicle, i.e. to calculate the energy used for driving during the driving process of the vehicle.

[0057] Step 02: calculating the remaining electric quantity and the remaining oil quantity of the vehicle according to the running information, the total energy consumption of the vehicle and the working mode of the vehicle.

[0058] Specifically, the working mode includes a pure electric mode and a hybrid mode. The running information includes the current electric quantity. In the case that the working mode is the pure electric mode, the driving force of the vehicle is provided by the battery only. The SOC balance point is the target value of the electric quantity balance of the vehicle, and the preset balance point threshold can also be determined according to the SOC balance point and according to the preset balance point threshold. In the case that the working mode is the hybrid mode and the current electric quantity is greater than the preset balance point threshold, the driving force of the vehicle is provided by the battery only. In the case that the working mode is the hybrid mode and the current electric quantity is less than the preset balance point threshold, the driving force of the vehicle is provided by the battery and the engine.

[0059] In the case that the driving force of the vehicle is provided by the battery only, the total energy consumption is the electric energy consumption value of the battery, so the consumption value of the electric quantity can be determined according to the total energy consumption, and the remaining electric quantity is determined in combination with the current electric quantity in the running information. At this time, the engine is not working, and the oil amount is not consumed, so the remaining oil quantity can be determined based on the current oil amount in the running information. That is, in the case that the working mode is the pure electric mode, or in the case that the working mode is the hybrid mode and the current electric quantity is greater than the preset balance point threshold, the remaining electric quantity can be directly determined according to the total energy consumption and the current electric quantity, and the remaining oil quantity can be determined according to the current oil amount.

[0060] In the case that the driving force of the vehicle is provided by the battery and the engine, the total energy consumption is the electric energy consumption value of the battery and the energy consumption value of the engine, wherein the energy consumption value of the engine refers to the electric energy generated by the engine burning fuel. Therefore, the electric energy calculation model can also be trained at this time, and the electric energy calculation model is only used to determine the remaining electric quantity of the vehicle. The current running information can be input into the trained electric energy calculation model to determine the remaining electric quantity of the vehicle, so as to determine the electric energy consumption value of the battery. The preset oil-electric conversion coefficient is used to measure the efficiency of the vehicle in converting fuel into electric energy. The energy consumption value of the engine during the driving of the vehicle can be determined according to the total energy consumption and the electric energy consumption value of the battery, and the amount of oil consumed by the engine can be determined according to the energy consumption value and the preset oil-electric conversion coefficient, so as to determine the remaining oil quantity of the vehicle.

[0061] In the case that the remaining oil quantity and the remaining electric quantity are obtained, the remaining oil quantity and the remaining electric quantity can be displayed in the navigation interface of the vehicle screen, for example, FIG. 3, so as to facilitate the user to view, thereby facilitating the user to reasonably arrange the charging and refueling time according to the remaining electric quantity and the remaining oil quantity.

[0062] The energy calculation method of the embodiments of the present disclosure can calculate the total energy consumption of the vehicle during driving according to the running information of the vehicle and the total energy consumption calculation model. Then, the remaining electric quantity and the remaining oil quantity of the vehicle are calculated according to the running information, the total energy consumption of the vehicle and the working mode of the vehicle. For example, in the case that the working mode is pure electric mode, or the working mode is hybrid mode, and the current electric quantity is greater than the preset balance point threshold value, the corresponding electric energy calculation model is the total energy consumption calculation model, and the total energy consumption calculated is the energy output by the battery, so the remaining electric quantity of the vehicle can be determined based on the total energy consumption. Then the remaining oil quantity is directly determined based on the current oil quantity. In the case that the working mode is hybrid mode, and the current electric quantity is less than the preset balance point threshold value, the remaining electric quantity can be calculated according to the running information and the corresponding electric energy calculation model. Then the oil consumption of the vehicle is determined based on the total energy consumption and the remaining electric quantity, so as to determine the remaining oil quantity of the vehicle. In this way, the total energy consumption, the remaining electric quantity and the remaining oil quantity of the vehicle in different working modes can be accurately calculated, thereby facilitating the user to reasonably arrange the charging and refueling time according to the remaining electric quantity and the remaining oil quantity.

[0063] In addition, the prior art can estimate the remaining driving range of the vehicle for the user to judge the charging and refueling time, but the estimated value of the remaining driving range will fluctuate greatly with the driving state of the vehicle. However, the present disclosure directly calculates the remaining electric quantity and the remaining oil quantity at the end of the trip, so that after the clear road information is obtained, the fluctuation of the calculation value of the present disclosure will be smaller, thereby improving the user experience.

[0064] Referring to FIG. 4, in some embodiments, the running information includes the current electric quantity, and step 02: calculating the remaining electric quantity and the remaining oil quantity of the vehicle according to the running information, the total energy consumption of the vehicle and the working mode of the vehicle, comprising:

[0065] Step 021: In the case of the working mode being the hybrid mode, calculating the residual electricity of the vehicle according to the current electricity and an electricity calculation model associated with the hybrid mode;

[0066] Step 022: Calculating the residual oil of the vehicle based on at least one of the running information, the total energy consumption and the residual electricity.

[0067] Specifically, the electricity calculation model corresponding to the hybrid mode can be pre-trained according to historical running information to calculate whether the battery outputs electricity during driving. The running parameters of the vehicle in a certain journey and the residual electricity of the vehicle when ending the journey can be determined according to the historical running information. Then, the electricity calculation model is trained according to the running parameters and the residual electricity corresponding to multiple journeys, and it can be understood that the electricity calculation model can only be used to calculate the residual electricity of the vehicle when ending a journey according to the running information. Therefore, in the case of the working mode being the hybrid mode, the running information of the vehicle can be input into the electricity calculation model to determine the electricity consumption value of the battery. The residual electricity of the vehicle can be determined in combination with the current electricity and the electricity consumption value.

[0068] In the case of the vehicle being in the hybrid mode, the engine can or can not run, which needs to be determined according to the current electricity and a preset balance point threshold. In the case of the current electricity being greater than the preset balance point threshold, the engine does not run, i.e., the oil does not change, and therefore the residual oil can be determined based on the current electricity in the running information. In the case of the current electricity being less than the preset balance point threshold, the engine runs, and the oil changes, and therefore the residual oil of the vehicle needs to be determined according to the total energy consumption and the residual electricity. The energy consumption value of the engine during driving of the vehicle can be determined according to the total energy consumption and the electricity consumption value of the battery, and the oil consumed by the engine can be determined according to the energy consumption value and a preset oil-electricity conversion coefficient, so as to determine the residual oil of the vehicle.

[0069] In this way, in the case of the working mode being the hybrid mode, the residual electricity of the vehicle can be accurately calculated according to the current electricity and the associated electricity calculation model. Then, the way of calculating the residual oil is determined according to the relationship between the current electricity and the preset balance point threshold, so that the residual oil of the vehicle can be accurately calculated according to at least one of the running information, the total energy consumption and the residual electricity.

[0070] Referring to FIG. 5, in some embodiments, the running information further includes a power saving mode of the vehicle, and in the case of the current electricity being less than the preset balance point threshold, step 021: in the case of the working mode being the hybrid mode, calculating the residual electricity of the vehicle according to the current electricity and an electricity calculation model associated with the hybrid mode, includes:

[0071] Step 0211: obtaining historical running information of the vehicle;

[0072] Step 0212: calculating the remaining electric quantity of the vehicle according to the historical running information of the vehicle and the electric energy calculation model corresponding to the power preservation mode;

[0073] Step 022: calculating the remaining oil quantity of the vehicle based on at least one of the running information, the total energy consumption and the remaining electric quantity, comprising:

[0074] Step 0221: calculating the remaining oil quantity of the vehicle based on the total energy consumption and the remaining electric quantity.

[0075] Specifically, in the case that the vehicle is running in the hybrid mode and the current electric quantity is less than the preset balance point threshold, the vehicle enters the power preservation mode. The power preservation mode includes the intelligent power preservation mode and the forced power preservation mode, and the power preservation strategies of the two power preservation modes are different. The intelligent power preservation mode pays more attention to energy saving effect, and when the engine has excess output power, the excess output power is automatically used to supplement the electric energy of the battery. The core of the forced power preservation mode is to ensure that the vehicle maintains the electric quantity according to the electric quantity target set by the vehicle owner. When the electric quantity of the battery is lower than the preset value, the engine actively intervenes to drive the generator to charge the battery, so as to stably maintain the preset electric quantity level. Therefore, in the case that the power preservation mode of the vehicle is different, the power generation quantity of the generator is different, which may cause the remaining electric quantity of the battery to be different in the running process.

[0076] Therefore, the corresponding electric energy calculation model can be set for the two power preservation modes, so as to calculate the remaining electric quantity of the vehicle according to the electric energy calculation model which is the same as the current power preservation strategy of the vehicle. In the case that it is determined that the vehicle is running in the hybrid mode and the current electric quantity is less than the preset balance point threshold, it is also necessary to determine the power preservation mode of the vehicle. In the case that it is determined that the power preservation mode of the vehicle is the intelligent power preservation mode, the remaining electric quantity of the vehicle after completing the driving is calculated based on the running data, the navigation data and the electric energy calculation model corresponding to the intelligent power preservation mode. In the case that it is determined that the power preservation mode of the vehicle is the forced power preservation mode, the remaining electric quantity of the vehicle after completing the driving can be calculated based on the running data, the navigation data and the electric energy calculation model corresponding to the forced power preservation mode.

[0077] In this way, the electric energy calculation model corresponding to different power preservation modes can be set respectively, and the remaining electric quantity is calculated according to the electric energy calculation model corresponding to the current power preservation mode of the vehicle, so that the influence of the power preservation mode is added in the calculation process, and the case that the power preservation strategy corresponding to the electric energy calculation model is different from the current power preservation strategy of the vehicle is prevented, so as to improve the calculation accuracy of the remaining electric quantity.

[0078] Referring to FIG. 6, in some embodiments, the power preservation mode includes the forced power preservation mode, and step 0212: calculating the remaining electric quantity of the vehicle according to the historical running information of the vehicle and the electric energy calculation model corresponding to the power preservation mode, comprising:

[0079] Step 02121: training the first electric energy calculation model corresponding to the forced power preservation mode according to the historical running information, so that the first electric energy calculation model converges.

[0080] Step 02122: calculating the remaining electric quantity of the vehicle based on the converged first electric energy calculation model.

[0081] Specifically, the historical running information includes historical running data and historical navigation data. The characteristic parameters of the model can be extracted according to the historical running data and the historical navigation data. For example, the characteristic parameters include but are not limited to: trip starting electric quantity, preset balance point threshold, driving distance, trip time, running mode, average vehicle speed, driving style, trip starting electric quantity interval and electric quantity balance point interval. Among them, the trip starting electric quantity interval and the electric quantity balance point interval are generated by the K-means clustering algorithm. Then the electric energy calculation model can be trained according to the characteristic parameters.

[0082] The first electric energy calculation model corresponding to the forced power preservation mode can be trained based on the historical running information of the power preservation mode being the forced power preservation mode, the current electric quantity being less than the preset balance point threshold, and the working mode being the hybrid mode, so that the first electric energy calculation model corresponding to the forced power preservation mode converges. For example, according to the historical running information, the running data and navigation data of the vehicle in a certain trip under the condition of running in the forced power preservation mode, and the remaining electric quantity of the vehicle when ending the trip can be determined. Then the first electric energy calculation model corresponding to the forced power preservation mode is trained according to the characteristic parameters, the running data, the navigation data and the remaining electric quantity of the trip corresponding to the forced power preservation mode in multiple sections, so that the first electric energy calculation model converges.

[0083] In the case of obtaining the historical running information corresponding to the forced power preservation mode, the historical running information corresponding to the forced power preservation mode can be divided into a training set and a validation set, so as to improve the training effect of the first electric energy calculation model.

[0084] In the case of the current electric quantity being less than the preset balance point threshold and the power preservation mode being the forced power preservation mode, the current running information can be input into the converged first electric energy calculation model to calculate the remaining electric quantity of the vehicle.

[0085] In this way, the first electric energy calculation model can be trained according to the historical running information corresponding to the forced power preservation mode, so as to subsequently calculate the remaining electric quantity of the vehicle based on the first electric energy calculation model in the case of the power preservation mode being the forced power preservation mode, thereby improving the calculation accuracy of the remaining electric quantity. At the same time, compared with the prior art, the parameters involved in the present disclosure are less, the training of the electric energy calculation model is more convenient, and the resources consumed are less, which can reduce the algorithm pressure.

[0086] Referring to FIG. 7, in some embodiments, the power preservation mode includes an intelligent power preservation mode, and step 0212: calculating the remaining power of the vehicle according to historical running information of the vehicle and an electric energy calculation model corresponding to the power preservation mode, including:

[0087] Step 02123: training a second electric energy calculation model corresponding to the intelligent power preservation mode based on the historical running information, so that the second electric energy calculation model converges.

[0088] Step 02124: calculating the remaining power of the vehicle based on the converged second electric energy calculation model.

[0089] Specifically, similar to training the first electric energy calculation model, the second electric energy calculation model corresponding to the intelligent power preservation mode can be trained based on historical running information of the intelligent power preservation mode, the current power being less than the preset balance point threshold, and the working mode being the hybrid mode, so that the second electric energy calculation model corresponding to the intelligent power preservation mode converges. For example, the running data and navigation data of the vehicle within a certain journey and the remaining power of the vehicle when ending the journey in the case of running in the intelligent power preservation mode can be determined according to the historical running information. Then, the second electric energy calculation model corresponding to the intelligent power preservation mode is trained according to the feature parameters, the running data, the navigation data and the remaining power of the journey corresponding to the multiple segments of the intelligent power preservation mode.

[0090] In the case of obtaining the historical running information corresponding to the intelligent power preservation mode, the historical running information corresponding to the intelligent power preservation mode can be divided into a training set and a validation set, so as to improve the training effect of the second electric energy calculation model.

[0091] In the case of the current power being less than the preset balance point threshold and the power preservation mode being the intelligent power preservation mode, the current running information can be input into the converged second electric energy calculation model to calculate the remaining power of the vehicle.

[0092] In this way, the second electric energy calculation model can be trained according to the historical running information corresponding to the intelligent power preservation mode, so as to subsequently calculate the remaining power of the vehicle based on the second electric energy calculation model in the case of the power preservation mode being the intelligent power preservation mode, thereby facilitating to improve the calculation accuracy of the remaining power. Meanwhile, compared with the prior art, the parameters involved in the present disclosure are less, the training of the electric energy calculation model is more convenient, and the resources consumed are less, which can reduce the algorithm pressure.

[0093] Referring to FIG. 8, in some embodiments, step 0211: obtaining the historical running information of the vehicle, further includes:

[0094] Step 02111: screening and interpolating the exported information of the big data platform based on a preset screening parameter and a preset interpolation rule to obtain intermediate running information;

[0095] Step 02112: obtaining historical running information corresponding to the plurality of historical trips based on the preset screening condition and the intermediate running information.

[0096] Specifically, first, the export information of the big data platform can be derived, and then the export information of the big data platform is screened and interpolated based on the preset screening parameter and the preset interpolation rule to obtain the intermediate running information. The preset screening parameter can be various, and can be set as needed. For example, the preset screening parameter includes at least one of vehicle type, battery endurance mileage, current power, working mode, running mode, average vehicle speed, driving distance, and trip time. Among them, the data size of the export data can be modified according to the accuracy requirement of model training. The higher the calculation accuracy requirement of the model, the larger the amount of data required to export.

[0097] After obtaining the export information, the export information can be divided according to the vehicle type and the battery endurance mileage to ensure that the historical running information used in each training comes from the same battery endurance version of the same vehicle model. The running information can also be further screened according to other preset screening parameters. For example, in order to improve the pertinence of the electric energy calculation model and the working mode, the export information can be screened according to the working mode. In order to improve the pertinence of the electric energy calculation model and the running mode, the export information can be screened according to the running mode. In order to improve the pertinence of the electric energy calculation model and the driving distance and the trip time, the export information can be screened according to the driving distance and the trip time, so as to obtain the electric energy calculation model corresponding to long-distance and long-time running and the electric energy calculation model corresponding to short-distance and short-time running through subsequent training. The preset screening parameter can also include the average vehicle speed. When the average vehicle speed is lower than the preset vehicle speed threshold, for example, lower than 10 m / s, the vehicle consumes less electric energy, so the export information corresponding to the average vehicle speed lower than the preset vehicle speed threshold can be screened out. Alternatively, the export information in the charging stage of the charging pile can also be screened out. For example, the power of the battery corresponding to some continuous export information increases, but the speed of the vehicle is always 0, so it can be confirmed that these continuous export information corresponds to the charging stage of the charging pile. At this time, these export information can be screened out.

[0098] When the vehicle travels in a certain trip, the vehicle may have poor signal at a certain time, resulting in that the data cannot be uploaded to the big data platform, so that the big data platform cannot obtain the data corresponding to the time. Therefore, based on the preset interpolation rule, the screened information can be interpolated to fill in the blank data, so as to obtain the intermediate running information which is complete in data and can be used for training of the electric energy calculation model. For example, the preset interpolation rule is the previous interpolation, which uses the value of the previous data point or data points to fill in the current missing data point. It should be noted that when interpolating, the data of the same trip should be used for interpolation to ensure the accuracy of the data.

[0099] Then, based on the preset screening condition and the intermediate running information, historical running information corresponding to the multiple historical trips is obtained.

[0100] For example, in the case of training the electric energy calculation model corresponding to the hybrid mode, historical running information corresponding to the hybrid mode needs to be obtained. Therefore, the preset screening condition can be: the selection start condition is that the current power is less than the preset balance point threshold, and the working mode is the hybrid mode, and the selection end condition is that the running mode changes, the preset balance point threshold changes, or the working mode changes.

[0101] The selection start condition of each running information is that the current power is less than the preset balance point threshold, and the working mode is the hybrid mode, that is, only in the case that the current power of a certain intermediate running information is less than the preset balance point threshold, and the working mode is the hybrid mode, the intermediate running information is confirmed as the historical running information, and the intermediate running information is the first frame of the historical running information corresponding to the trip. Then, the intermediate running information after the intermediate running information can be confirmed as the historical running information, so as to obtain the historical running information corresponding to the trip.

[0102] The selection end condition of each running information is that the running mode changes, the preset balance point threshold changes, or the working mode changes, that is, when the running mode, the preset balance point threshold, or the working mode of a certain running information is different from the running mode, the preset balance point threshold, or the working mode corresponding to the trip, the acquisition of the running information is stopped. The historical running information obtained before the running information is the entire historical running information corresponding to the trip.

[0103] In this way, the historical running information corresponding to the multiple historical trips with the working mode being the hybrid mode can be obtained.

[0104] For example, the intermediate running information includes running information A, running information B, running information C, running information D, and running information E, the current power of the running information A is less than the preset balance point threshold, and the working mode is the hybrid mode, and the working mode of the running information E is the pure electric mode. Therefore, the historical running information is the running information A, the running information B, the running information C, and the running information D, the running information A is the first frame of the historical running information corresponding to the historical trip, and the running information D is the last frame of the historical running information corresponding to the historical trip.

[0105] In this way, the information of the big data platform can be cleaned and interpolated by using the preset screening parameter and the preset interpolation rule, so as to ensure the integrity of the historical running information, and the historical running information corresponding to the multiple historical trips is obtained by using the preset screening condition, so as to ensure that the historical running information meets the training needs of the electric energy calculation model.

[0106] In some embodiments, the historical running information can include the power saving mode, the starting power of the trip, the preset balance point threshold, the ending power of the trip, the driving distance, the driving time, the working mode, the running mode, the average vehicle speed, and the driving style. The starting power of the trip is the remaining battery power value of the first frame of the selected data segment (i.e., the intermediate running information corresponding to multiple segments of the trip), the ending power of the trip is the remaining battery power value of the last frame of the selected data segment, the driving distance is the difference between the last frame and the first frame of the total mileage of the selected data segment, the driving time is the difference between the last frame and the first frame of the time of the selected data segment, the average vehicle speed is the ratio of the driving distance to the driving time, and the driving style is calculated based on the average acceleration, the average accelerator depth, and other information of the last trip on the vehicle. The electric energy calculation model can be trained according to the above historical running information, so as to quickly obtain an electric energy calculation model with better calculation effect.

[0107] Referring to FIG. 9, in some embodiments, the running information further includes the total battery power and the current fuel amount, and step 0221: calculating the remaining fuel amount of the vehicle based on the total energy consumption and the remaining power, including:

[0108] Step 02211: calculating the remaining fuel amount according to the total battery power, the total energy consumption, the remaining power, the current fuel amount, the current power, and a preset oil-electricity conversion coefficient.

[0109] Specifically, in the case that the working mode is the hybrid mode and the current power is less than the preset balance point threshold, the battery can be in a charging state, a discharging state, or a charging and discharging state, so that the total energy consumption can only correspond to the power generated by the engine driving the generator, or the total energy consumption can correspond to the power generated by the engine driving the generator and the power generated by the battery discharging.

[0110] The electric energy calculation model can be used to calculate the remaining power of the vehicle at the end of the trip according to the running information. Therefore, the running information can be input into the electric energy calculation model, for example, the running data and the navigation data are input into the electric energy calculation model, and the electric energy calculation model can calculate the remaining power of the vehicle at the end of the trip according to the running data and the navigation data, so as to determine the state of the battery according to the remaining power, and to determine the fuel consumption of the vehicle in the driving process according to the state of the battery and the total energy consumption.

[0111] Then, the state of the battery during the driving process can be determined according to the calculated residual electric quantity. In the case that the residual electric quantity is greater than the current electric quantity of the battery, it can be confirmed that the battery is in a charging state, and the electric energy used for charging the battery is the electric energy generated by the engine driving the generator. At this time, the electric energy generated by the engine is used for driving the vehicle and charging the battery, and the total energy consumption corresponds to the electric energy generated by the engine driving the generator. In the case that the residual electric quantity is less than the current electric quantity of the battery, it can be confirmed that the battery is discharging. At this time, the electric energy generated by the engine is only used for driving the vehicle, and the total energy consumption corresponds to the electric energy generated by the engine driving the generator and the electric energy generated by the battery discharging.

[0112] At this time, the residual fuel quantity can be calculated according to the total electric energy of the battery, the total energy consumption, the residual electric quantity, the current fuel quantity, the current electric quantity, a preset oil-electricity conversion coefficient and the total electric energy of the battery. The preset oil-electricity conversion coefficient is used to measure the efficiency of the vehicle in converting fuel into electric energy.

[0113] After determining the residual electric quantity, the residual electric energy of the battery at the end of the trip can be determined according to the residual electric quantity, and the electric energy of the battery at the beginning of the trip can be determined according to the current electric quantity and the total electric energy of the battery. The difference between the electric energy at the beginning of the trip and the electric energy at the end of the trip can be used to reflect whether the battery is charged during the trip. In the case that the difference between the electric energy at the beginning of the trip and the electric energy at the end of the trip is less than 0, the battery is discharged, and part of the energy in the total energy consumption is provided by the battery. In the case that the difference between the electric energy at the beginning of the trip and the electric energy at the end of the trip is greater than 0, the battery is charged, and the energy in the total energy consumption is completely provided by the engine, and part of the energy is also provided by the engine to charge the battery.

[0114] Therefore, at this time, the electric energy generated by the engine can also be calculated based on the total energy consumption, the difference between the electric energy of the battery at the end of the trip and the electric energy of the battery at the beginning of the trip. Then, the fuel quantity consumed by the engine can be determined according to the preset oil-electricity conversion coefficient and the calculated electric energy generated by the engine. The difference between the current fuel quantity (i.e. the fuel quantity at the beginning of the trip) and the fuel quantity consumed by the engine is the residual fuel quantity. At this time, the formula used is as follows: gas_end E gas residual fuel quantity p E bat_p total electric energy of the battery bat_max SOC × SOC)) / k (1)

[0115] E gas_end residual fuel quantity gas current fuel quantity p total energy consumption bat_p residual electric energy bat_max total electric energy of the battery SOC current electric quantity k preset oil-electricity conversion coefficient

[0116] Thus, in the case that the vehicle is running in the hybrid mode and the current electric quantity is less than the preset balance point threshold, the residual electric quantity of the vehicle can be calculated based on the running information and the electric energy calculation model corresponding to the hybrid mode, so as to determine the working state of the battery according to the residual electric quantity. Then, the oil quantity consumed by the vehicle in the driving process can be calculated based on the total energy consumption and the residual electric quantity. After confirming the energy consumed by the vehicle due to the fuel, the oil quantity consumed by the vehicle can be confirmed, and thus the residual oil quantity of the vehicle can be confirmed. Thus, the total energy consumption, the residual electric quantity and the residual oil quantity of the vehicle can be accurately calculated, so as to facilitate the user to reasonably arrange the charging and refueling time according to the residual electric quantity and the residual oil quantity.

[0117] Referring to FIG. 10, in some embodiments, in the case that the current electric quantity is greater than or equal to the preset balance point threshold, the electric energy calculation model associated with the hybrid mode is the total energy consumption calculation model, and in the case that the current electric quantity is greater than or equal to the preset balance point threshold, step 021: in the case that the working mode is the hybrid mode, the residual electric quantity of the vehicle is calculated according to the current electric quantity and the electric energy calculation model associated with the hybrid mode, including:

[0118] Step 0213: the residual electric quantity is calculated based on the total energy consumption and the current electric quantity.

[0119] Step 022: the residual oil quantity of the vehicle is calculated based on at least one of the running information, the total energy consumption and the residual electric quantity, including:

[0120] Step 0222: the residual oil quantity of the vehicle is calculated based on the current oil quantity in the running information.

[0121] Specifically, in the case that the vehicle is running in the hybrid mode and the current electric quantity is greater than or equal to the preset balance point threshold, the power source of the vehicle is the battery, and the total energy consumption obtained by the total energy consumption calculation model is all the energy output by the battery. Therefore, in the case that the current electric quantity is greater than or equal to the preset balance point threshold, the electric energy calculation model associated with the hybrid mode is the total energy consumption calculation model. At this time, the electric energy of the vehicle at the beginning of the trip can be determined according to the product of the current electric quantity and the total electric energy of the battery. The difference between the electric energy at the beginning of the trip and the total energy consumption is the residual electric energy of the vehicle. At this time, the formula used is as follows: E bat_end = E bat_max × SOC - E p (2)

[0122] Wherein, E p is the total energy consumption, E bat_max is the total electric energy of the battery, SOC is the current electric quantity, and E bat_end is the residual electric energy.

[0123] Then, the residual electric quantity of the vehicle can be determined according to the residual electric energy, for example, the ratio of the residual electric energy to the total electric energy of the battery is taken as the residual electric quantity.

[0124] In the case that the vehicle is running in the hybrid mode and the current electric quantity is greater than or equal to the preset balance point threshold, the engine does not work and no fuel is consumed, so the residual fuel quantity can be directly calculated according to the current fuel quantity.

[0125] In this way, in the case that the vehicle is running in the hybrid mode and the current electric quantity is greater than or equal to the preset balance point threshold, the residual electric quantity can be accurately determined according to the total energy consumption and the current electric quantity, and the residual fuel quantity can be accurately determined according to the current fuel quantity, so that the user can reasonably arrange the charging and refueling time according to the residual electric quantity and the residual fuel quantity.

[0126] Referring to FIG. 11, in some embodiments, the running information includes the current electric quantity and the current fuel quantity, and step 02: calculating the residual electric quantity and the residual fuel quantity of the vehicle according to the running information, the total energy consumption of the vehicle and the working mode of the vehicle, including:

[0127] Step 023: in the case that the working mode is the pure electric mode, calculating the residual electric quantity of the vehicle according to the current electric quantity and the total energy consumption;

[0128] Step 024: calculating the residual fuel quantity of the vehicle according to the current fuel quantity.

[0129] Specifically, in the case that the vehicle is running in the pure electric mode, the power source of the vehicle is the battery, and the total energy consumption is the energy output by the battery. At this time, the electric energy of the vehicle at the beginning of the trip can be determined according to the product of the current electric quantity and the total electric energy of the battery. The difference between the electric energy at the beginning of the trip and the total energy consumption is the residual electric energy of the vehicle. At this time, the residual electric energy of the vehicle is calculated using the above formula (2). Then the residual electric quantity of the vehicle can be determined according to the residual electric energy, for example, the ratio of the residual electric energy to the total electric energy of the battery is taken as the residual electric quantity.

[0130] In the process that the vehicle is running in the pure electric mode, the engine does not consume fuel, so the residual fuel quantity can be directly calculated according to the current fuel quantity.

[0131] In this way, in the process that the vehicle is running in the pure electric mode, the residual electric quantity can be accurately determined according to the total energy consumption and the current electric quantity, and the residual fuel quantity can be accurately determined according to the current fuel quantity, so that the user can reasonably arrange the charging and refueling time according to the residual electric quantity and the residual fuel quantity.

[0132] Referring to FIG. 12, in some embodiments, the energy calculation method further includes:

[0133] Step 03: in the case that the current electric quantity is greater than the preset balance point threshold, confirming the electric energy supplied by the battery of the vehicle to determine the working mode of the vehicle in the running process based on the electric energy supplied by the battery.

[0134] Specifically, the current electric quantity can only be used to determine the relationship between the current electric quantity and the preset balance point threshold at the beginning of the trip. Even if the current electric quantity at the beginning of the trip is greater than the preset balance point threshold, the current electric quantity can decrease to below the preset balance point threshold during the trip, and the power source of the vehicle changes.

[0135] Therefore, in the case where it is confirmed that the current electric quantity is greater than the preset balance point threshold, the relationship between the current electric quantity of the vehicle and the preset balance point threshold during the trip can also be confirmed according to the relationship between the battery available energy and the total energy consumption.

[0136] First, the battery available energy can be determined according to the following formula: E bat = E bat_max × (SOC - SOC min ) (3)

[0137] Wherein, E bat is the battery available energy, E bat_max is the total battery energy, SOC is the current electric quantity, and SOC min is the preset balance point threshold.

[0138] In the case where the battery available energy is greater than the total energy consumption, it can be confirmed that the electric quantity of the battery will not decrease to below the preset balance point threshold after the vehicle completes the trip, and the power source of the battery during the trip is only the battery, and the working mode does not change. Therefore, at this time, the fuel quantity calculation mode and the electric quantity calculation mode corresponding to the case where the current electric quantity is greater than the preset balance point threshold can be used according to the pure electric mode or the hybrid mode. If the current working mode of the vehicle is the pure electric mode, the remaining electric quantity and the remaining fuel quantity of the vehicle after completing the trip are calculated based on the above steps 023 and 024. If the current working mode of the vehicle is the hybrid mode, the remaining electric quantity and the remaining fuel quantity of the vehicle after completing the trip are calculated based on the above steps 0213 and 0222.

[0139] In the case where the battery available energy is less than the total energy consumption, it can be confirmed that the electric quantity of the battery will decrease to below the preset balance point threshold during the trip, so that the power source of the vehicle changes. When the electric quantity is above the preset balance point threshold, the power source of the vehicle is the battery, and when the electric quantity is below the preset balance point threshold, the power source of the vehicle is the battery and the engine. At this time, the working mode of the vehicle can change, if the current working mode is the hybrid mode, the working mode does not change, but the power source of the vehicle changes. If the current working mode is the electric mode, the working mode changes to the hybrid mode, and the power source of the vehicle changes.

[0140] Therefore, the change of the calculated electricity of the vehicle during the driving process can be calculated to determine the time when the calculated electricity of the vehicle decreases to the preset balance point threshold. Then, in the case that the calculated electricity is greater than the preset balance point threshold, the residual oil and the residual electricity of the vehicle at the time when the calculated electricity decreases to the preset balance point threshold are calculated according to the oil and electricity calculation methods corresponding to the working condition in which the current electricity is greater than the preset balance point threshold and according to the current working mode of the vehicle. In the case that the calculated electricity is less than the preset balance point threshold, the final residual electricity and the final residual oil of the vehicle are calculated based on the oil and electricity calculation methods corresponding to the working condition in which the current electricity is less than the preset balance point threshold and the working mode is the hybrid mode, i.e., the above steps 0211, 0212 and 0221.

[0141] In the case that the current electricity is less than the preset balance point threshold, the vehicle operates in the hybrid mode. The final residual electricity and the final residual oil of the vehicle can be calculated based on the oil and electricity calculation methods corresponding to the working condition in which the current electricity is less than the preset balance point threshold and the working mode is the hybrid mode, i.e., the above steps 0211, 0212 and 0221.

[0142] In this way, the relationship between the current electricity of the vehicle during the driving process and the preset balance point threshold can be determined according to the electricity supplied by the battery and the total energy consumption, and the final residual electricity and the final residual oil of the vehicle can be calculated according to the corresponding oil and electricity calculation methods, so that the calculation accuracy of the residual electricity and the calculation accuracy of the residual oil can be improved.

[0143] Referring to FIG. 13, in some embodiments, the control method further comprises:

[0144] Step 04: In the case that the residual electricity is less than the preset electricity threshold, the driving position of the vehicle in the case that the electricity of the vehicle decreases to the preset electricity threshold is calculated, and the charging station closest to the driving position is displayed.

[0145] Step 05: In the case that the residual oil is less than the preset oil threshold, the driving position of the vehicle in the case that the oil of the vehicle decreases to the preset oil threshold is calculated, and the oil station closest to the driving position is displayed.

[0146] Specifically, the preset electricity threshold can ensure the minimum electricity of the vehicle during normal use, for example, 25%, and the vehicle needs to be charged in the case that the electricity is less than the preset electricity threshold. The preset oil threshold can ensure the minimum oil of the vehicle during normal use, for example, 25%, and the vehicle needs to be refueled in the case that the oil is less than the preset oil threshold.

[0147] In a case where the calculated remaining energy is less than the preset energy threshold, a driving position of the vehicle when the energy decreases to the preset energy threshold can be calculated, and a charging station closest to the driving position can be obtained according to map information, and then the charging station closest to the driving position is displayed on a screen of the vehicle, so as to facilitate the driver to complete charging in time.

[0148] In a case where the calculated remaining oil is less than the preset oil threshold, a driving position of the vehicle when the oil decreases to the preset oil threshold can be calculated, and a gas station closest to the driving position can be obtained according to map information, and then the gas station closest to the driving position is displayed on a screen of the vehicle, so as to facilitate the driver to complete refueling in time.

[0149] Referring to FIG. 14, in order to better implement the energy calculation method of the embodiment of the present disclosure, the embodiment of the present disclosure further provides an energy calculation device 10. The energy calculation device 10 can include a total energy consumption calculation module 11 and a remaining energy calculation module 12. The total energy consumption calculation module 11 is configured to calculate the total energy consumption of the vehicle according to the running information of the vehicle and a preset total energy consumption calculation model. The remaining energy calculation module 12 is configured to calculate the remaining energy and the remaining oil of the vehicle according to the running information, the total energy consumption of the vehicle, and the working mode of the vehicle.

[0150] The remaining energy calculation module 12 is specifically configured to, in a case where the working mode is the hybrid mode, calculate the remaining energy of the vehicle according to a current energy and an energy calculation model associated with the hybrid mode; and calculate the remaining oil of the vehicle based on at least one of the running information, the total energy consumption, and the remaining energy.

[0151] The remaining energy calculation module 12 is specifically configured to obtain historical running information of the vehicle; calculate the remaining energy of the vehicle according to the historical running information of the vehicle and an energy calculation model corresponding to the power protection mode; and calculate the remaining oil of the vehicle based on the total energy consumption and the remaining energy.

[0152] The remaining energy calculation module 12 is specifically configured to train a first energy calculation model corresponding to the forced power protection mode according to the historical running information, so that the first energy calculation model converges; and calculate the remaining energy of the vehicle based on the converged first energy calculation model.

[0153] The remaining energy calculation module 12 is specifically configured to train a second energy calculation model corresponding to the intelligent power protection mode based on the historical running information, so that the second energy calculation model converges; and calculate the remaining energy of the vehicle based on the converged second energy calculation model.

[0154] The remaining energy calculation module 12 is specifically configured to filter and interpolate export information of a big data platform based on preset filtering parameters and preset interpolation rules, to obtain intermediate running information; and obtain historical running information corresponding to multiple historical trips based on preset filtering conditions and the intermediate running information.

[0155] The remaining energy calculation module 12 is specifically configured to calculate the remaining oil amount according to the total battery energy, the total energy consumption, the remaining battery capacity, the current oil amount, the current battery capacity and a preset oil-electricity conversion coefficient.

[0156] The remaining energy calculation module 12 is specifically configured to calculate the remaining battery capacity based on the total energy consumption and the current battery capacity, and calculate the remaining oil amount of the vehicle based on the current oil amount in the running information.

[0157] The remaining energy calculation module 12 is specifically configured to calculate the remaining battery capacity of the vehicle according to the current battery capacity and the total energy consumption when the working mode is the pure electric mode, and calculate the remaining oil amount of the vehicle according to the current oil amount.

[0158] The total energy consumption calculation module 11 is specifically configured to calculate the total energy consumption based on a total energy consumption calculation model and the driving distance, the driving time, the working mode and the driving style in the running information.

[0159] The energy calculation device 10 further comprises a determination module 13. The determination module 13 is configured to determine the battery available energy of the vehicle, and determine the working mode of the vehicle during the running process based on the battery available energy when the current battery capacity is greater than a preset balance point threshold.

[0160] The energy calculation device 10 further comprises a display module 14. The display module 14 is configured to calculate the driving position of the vehicle when the battery capacity of the vehicle decreases to a preset battery capacity threshold, and display the charging station closest to the driving position when the remaining battery capacity is less than a preset battery capacity threshold; calculate the driving position of the vehicle when the oil amount of the vehicle decreases to a preset oil amount threshold, and display the gas station closest to the driving position when the remaining oil amount is less than a preset oil amount threshold.

[0161] In the foregoing, the energy calculation device 10 is described from the perspective of functional modules, which can be implemented in the form of hardware, implemented in the form of instructions of software, or implemented in the form of a combination of hardware and software modules. Specifically, each step of the method embodiment in the embodiments of the present disclosure can be completed by integrated logic circuits of hardware in the processor and / or instructions in the form of software, and the steps of the method disclosed in combination with the embodiments of the present disclosure can be directly embodied as hardware coding processors to execute and complete, or executed by a combination of hardware and software modules in the coding processor. Alternatively, the software module can be located in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, register, etc. The storage medium is located in the memory, and the processor reads the information in the memory, and combines the hardware to complete the steps in the above method embodiment.

[0162] Referring to FIG. 15, the electronic device 200 of the embodiment of the present disclosure includes a processor 20, a memory 30, and a computer program, wherein the computer program is stored in the memory 30 and is executed by the processor 20, and the computer program includes instructions for executing the energy calculation method of any of the above-described embodiments.

[0163] Referring to FIG. 16, the embodiment of the present disclosure further provides a computer readable storage medium 300, which stores a computer program 310, and the computer program 310, when executed by a processor 320, implements the steps of the energy calculation method of any of the above-described embodiments. For brevity, details are not described herein.

[0164] Referring to FIGS. 1, 14, and 15, the embodiment of the present disclosure further provides a vehicle 100, which includes the energy calculation device 10 according to any of the above-described embodiments, or the electronic device 200 of any of the above-described embodiments.

[0165] In the description of the present specification, the description of the terms "certain embodiments", "in one example", "exemplarily", and the like means that the specific features, structures, materials, or characteristics described in connection with the embodiments or examples 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 one or more embodiments or examples in a suitable manner. 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.

[0166] Any process or method descriptions in flow charts or described herein in other ways can be understood as representing code modules, segments, or portions of code that include one or more executable instructions for performing specific logic functions or steps in the process. The various embodiments of the present disclosure can include additional or fewer steps or processes, and the order of the steps or processes can be changed, including according to the function involved, without departing from the scope of the embodiments of the present disclosure, which should be understood by those skilled in the art.

[0167] Although the embodiments of the present disclosure have been shown and described above, it should be understood that the above-described 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-described embodiments within the scope of the present disclosure.

Claims

1. An energy calculation method, wherein, The method is applied to a vehicle and comprises: calculating total energy consumption of the vehicle according to operation information of the vehicle and a preset total energy consumption calculation model; calculating residual electricity and residual oil of the vehicle according to the operation information, the total energy consumption of the vehicle and a working mode of the vehicle.

2. The energy calculation method of claim 1, wherein, The operation information comprises current electricity, and the calculation of the residual electricity and the residual oil of the vehicle according to the operation information, the total energy consumption of the vehicle and the working mode of the vehicle comprises: in a case where the working mode is a hybrid mode, calculating the residual electricity of the vehicle according to the current electricity and an electric energy calculation model associated with the hybrid mode; calculating the residual oil of the vehicle based on at least one of the operation information, the total energy consumption and the residual electricity.

3. The energy calculation method of claim 2, wherein, The operation information further comprises a power saving mode of the vehicle, and the calculation of the residual electricity of the vehicle according to the current electricity and the electric energy calculation model associated with the hybrid mode comprises: obtaining historical operation information of the vehicle; calculating the residual electricity of the vehicle according to the historical operation information of the vehicle and the electric energy calculation model corresponding to the power saving mode; The calculation of the residual oil of the vehicle based on at least one of the operation information, the total energy consumption and the residual electricity comprises: calculating the residual oil of the vehicle based on the total energy consumption and the residual electricity.

4. The energy calculation method of claim 3, wherein, The power saving mode comprises a forced power saving mode, and the calculation of the residual electricity of the vehicle according to the historical operation information of the vehicle and the electric energy calculation model corresponding to the power saving mode comprises: training a first electric energy calculation model corresponding to the forced power saving mode according to the historical operation information, so that the first electric energy calculation model converges; calculating the residual electricity of the vehicle based on the converged first electric energy calculation model.

5. The energy calculation method of claim 3, wherein, The power saving mode comprises an intelligent power saving mode, and the calculation of the residual electricity of the vehicle according to the historical operation information of the vehicle and the electric energy calculation model corresponding to the power saving mode further comprises: training a second electric energy calculation model corresponding to the intelligent power saving mode based on the historical operation information, so that the second electric energy calculation model converges; calculating the residual electricity of the vehicle based on the converged second electric energy calculation model.

6. The energy calculation method according to any one of claims 3-5, wherein, The obtaining of the historical operation information of the vehicle comprises: filtering and interpolating export information of a big data platform based on preset filtering parameters and preset interpolation rules to obtain intermediate operation information; obtaining historical operation information corresponding to multiple historical trips based on preset filtering conditions and the intermediate operation information.

7. The energy calculation method of claim 3, wherein, The operation information further comprises total electric energy of a battery and current oil, and the calculation of the residual oil of the vehicle based on the total energy consumption and the residual electricity comprises: calculating the residual oil based on the total electric energy of the battery, the total energy consumption, the residual electricity, the current oil, the current electricity and a preset oil-electricity conversion coefficient.

8. The energy calculation method according to any one of claims 2-7, wherein, In a case where the current electric quantity is greater than or equal to a preset balance point threshold, the electric energy calculation model associated with the hybrid mode is the total energy consumption calculation model, and the calculating the residual electric quantity of the vehicle according to the current electric quantity and the electric energy calculation model associated with the hybrid mode further comprises: calculating the residual electric quantity based on the total energy consumption and the current electric quantity; the calculating the residual oil quantity of the vehicle based on at least one of the running information, the total energy consumption and the residual electric quantity comprises: calculating the residual oil quantity of the vehicle based on the current oil quantity in the running information.

9. The energy calculation method according to any one of claims 1-8, wherein, The running information comprises a current electric quantity and a current oil quantity, and the calculating the residual electric quantity and the residual oil quantity of the vehicle according to the running information, the total energy consumption of the vehicle and the working mode of the vehicle comprises: in a case where the working mode is a pure electric mode, calculating the residual electric quantity of the vehicle according to the current electric quantity and the total energy consumption; and calculating the residual oil quantity of the vehicle according to the current oil quantity.

10. The energy calculation method according to any one of claims 1 to 9, wherein, The calculating the total energy consumption of the vehicle according to the running information of the vehicle and a preset total energy consumption calculation model comprises: calculating the total energy consumption based on the total energy consumption calculation model and the running information comprising a driving distance, a driving time, a working mode and a driving style.

11. The energy calculation method according to any one of claims 1 to 10, wherein, The running information comprises a current electric quantity, and the method further comprises: in a case where the current electric quantity is greater than the preset balance point threshold, confirming the electric energy supplied by the battery of the vehicle to determine the working mode of the vehicle during the running process based on the electric energy supplied by the battery.

12. The energy calculation method of any one of claims 1-11, wherein, Further comprising: in a case where the residual electric quantity is less than a preset electric quantity threshold, calculating a driving position of the vehicle in a case where the electric quantity of the vehicle decreases to the preset electric quantity threshold and displaying a charging station closest to the driving position; and in a case where the residual oil quantity is less than a preset oil quantity threshold, calculating a driving position of the vehicle in a case where the oil quantity of the vehicle decreases to the preset oil quantity threshold and displaying a gas station closest to the driving position.

13. An electronic device, comprising: comprise: a processor, a memory; and a computer program, wherein the computer program is stored in the memory and executed by the processor, and the computer program comprises instructions for executing the energy calculation method of any one of claims 1 to 12.

14. A non-transitory computer readable storage medium containing a computer program, wherein, The computer program is executed by the processor, so that the processor executes the energy calculation method of any one of claims 1 to 12.

15. A vehicle, wherein, The electronic device comprises the electronic device of claim 13.

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