Hybrid vehicle energy consumption strategy determination method and device and vehicle

Abstract

The invention relates to a hybrid vehicle energy consumption strategy determination method and device and a vehicle, and is applied to the technical field of hybrid power. The method comprises the steps that sampling is carried out on a preset engine performance model of a target vehicle with a reference working condition point as a benchmark, and at least two candidate working condition points are obtained; on the basis of the at least two candidate working condition points and the battery output power of the vehicle power battery, vehicle energy consumption corresponding to the at least two candidate working condition points is determined; and engine operation of the target vehicle is controlled based on the target working condition point in the at least two candidate working condition points, and the whole vehicle energy consumption corresponding to the target working condition point is the lowest. The multiple candidate working condition points are obtained on the preset engine performance model with the reference working condition point as the benchmark, the whole vehicle energy consumption corresponding to all the candidate working condition points is determined in combination with the battery output power of the vehicle power battery, and then the target working condition point with the lowest whole vehicle energy consumption is selected and executed. The energy consumption of the vehicle in the actual driving process can be reduced, and the fuel economy is improved.

Description

Technical Field

[0001] This disclosure relates to the field of hybrid technology, and in particular to a method, device and vehicle for determining energy consumption strategy of hybrid vehicles. Background Technology

[0002] Currently, the determination of engine operating points mainly relies on the engine universal characteristic curve. After the curve is plotted, engineers can select a suitable engine operating point based on it and apply it to the engine's operation and control during daily vehicle driving. However, the engine universal characteristic curve only reflects the engine's own performance and cannot fully consider the complex operating conditions and comprehensive performance requirements of the vehicle in actual driving, resulting in higher energy consumption in actual vehicle operation. Summary of the Invention

[0003] To address the aforementioned technical issues, this disclosure provides a method, apparatus, and vehicle for determining energy consumption strategies for hybrid vehicles.

[0004] A first aspect of this disclosure provides a method for determining the energy consumption strategy of a hybrid vehicle, the method comprising: Using the reference operating point as a benchmark, sampling is performed on the preset engine performance model of the target vehicle to obtain at least two candidate operating points, which are used to characterize the engine's performance parameters. Based on at least two candidate operating conditions and the battery output power of the vehicle's power battery, determine the vehicle energy consumption corresponding to at least two candidate operating conditions. The engine operation of the target vehicle is controlled based on the target operating point among at least two candidate operating points, and the overall vehicle energy consumption is lowest at the target operating point.

[0005] In some embodiments of this disclosure, candidate operating points include candidate engine speed and candidate engine torque, and reference operating points include reference engine speed and reference engine torque. Sampling is performed on a preset engine performance model of the target vehicle using the reference operating points as a reference to obtain at least two candidate operating points, including: When the target vehicle's power mode is direct drive, at least two candidate operating points are obtained by sampling on the preset engine performance model based on the preset torque unit change, using the reference operating point as a benchmark. When the target vehicle's power mode is series mode, the reference engine output power is determined based on the reference engine speed and reference engine torque. Based on the reference engine output power and the preset unit change in engine output power, at least two candidate engine output powers are determined. Based on the at least two candidate engine output powers, sampling is performed on the preset engine performance model to obtain at least two candidate operating points.

[0006] In some embodiments of this disclosure, the vehicle energy consumption corresponding to at least two candidate operating conditions is determined based on at least two candidate operating conditions and the battery output power of the vehicle's power battery, including: Based on at least two candidate operating points and a first adjustment parameter, determine the engine energy consumption corresponding to the at least two candidate operating points respectively. The first adjustment parameter is used to make an equivalent adjustment to the engine energy consumption. Based on at least two candidate operating conditions, battery output power and a second adjustment parameter, the power battery energy consumption corresponding to at least two candidate operating conditions is determined, and the second adjustment parameter is used to make equivalent adjustments to the power battery energy consumption. Based on the engine energy consumption corresponding to at least two candidate operating conditions and the power battery energy consumption corresponding to at least two candidate operating conditions, determine the vehicle energy consumption corresponding to at least two candidate operating conditions.

[0007] In some embodiments of this disclosure, the first adjustment parameter is a fuel injection quantity correction coefficient. Based on at least two candidate operating points and the first adjustment parameter, the engine energy consumption corresponding to at least two candidate operating points is determined, including: Based on the correspondence between engine intake air temperature, candidate operating points and engine instantaneous fuel injection quantity, determine the engine base fuel injection quantity corresponding to at least two candidate operating points respectively. Based on the engine's basic fuel injection quantity, first adjustment parameters, and preset fuel calorific value corresponding to at least two candidate operating conditions, determine the engine energy consumption corresponding to at least two candidate operating conditions.

[0008] In some embodiments of this disclosure, the power battery energy consumption corresponding to at least two candidate operating conditions is determined based on at least two candidate operating conditions, battery output power, and a second adjustment parameter, including: Based on a reference operating point and at least two candidate operating points, calculate the change in engine output power corresponding to each of the at least two candidate operating points. The change in engine output power is the difference between the engine output power corresponding to the candidate operating point and the reference operating point. Based on the actual speed and torque of the motor in the target vehicle, and the speed difference between the candidate engine speed at at least two candidate operating points and the reference engine speed at the reference operating point, determine the motor efficiency corresponding to each of the at least two candidate operating points. Based on the battery output power, the engine output power change corresponding to at least two candidate operating points, and the motor efficiency corresponding to at least two candidate operating points, determine the battery equivalent power corresponding to at least two candidate operating points. Based on the battery equivalent power corresponding to at least two candidate operating conditions and the second adjustment parameter, the power battery energy consumption corresponding to at least two candidate operating conditions is determined.

[0009] In some embodiments of this disclosure, the second adjustment parameter includes a power correction coefficient and a penalty coefficient for further adjusting the power correction coefficient. Based on the battery equivalent power corresponding to at least two candidate operating conditions and the second adjustment parameter, the power battery energy consumption corresponding to at least two candidate operating conditions is determined, including: Based on the difference between the expected and actual remaining power of the vehicle's power battery, a first correction factor, and a second correction factor, a power correction coefficient is determined. The first correction factor is used to characterize the influence of ambient temperature on the remaining power of the battery, and the second correction factor is used to characterize the influence of the current vehicle speed on the remaining power of the battery. The penalty coefficient is determined based on the difference between the expected and actual remaining charge of the vehicle's power battery and the available range of the remaining battery charge. Based on the battery equivalent power, energy correction coefficient, and penalty coefficient corresponding to at least two candidate operating conditions, the power battery energy consumption corresponding to at least two candidate operating conditions is determined.

[0010] In some embodiments of this disclosure, before controlling the engine operation of the target vehicle based on a target operating point among at least two candidate operating points, the method further includes: If the first candidate working point among at least two candidate working points meets the target condition, the first candidate working point is removed from the at least two candidate working points so that the at least two candidate working points do not contain the first candidate working point. The target conditions include: The first candidate engine speed and the first candidate engine torque in the first candidate operating condition point exceed the engine external characteristic curve of the target vehicle. The engine external characteristic curve is the curve of engine speed changing with engine torque when the engine is under full load. And / or, The equivalent torque of the motor in the target vehicle is greater than the rated torque of the motor. The equivalent torque of the motor is determined based on the speed difference between the first candidate engine speed and the reference engine speed in the reference operating point, as well as the actual torque of the motor. And / or: The equivalent power of the battery at the first candidate operating point is greater than the peak power of the battery.

[0011] In some embodiments of this disclosure, sampling is performed on a preset engine performance model of the target vehicle based on a reference operating point to obtain at least two candidate operating points, including: In response to the target vehicle's vehicle state meeting the preset function enabling conditions, the step of sampling on the target vehicle's preset engine performance model based on the reference operating point is executed to obtain at least two candidate operating points. The function enabling conditions include at least one of the following: the power mode is series mode or direct drive mode, the current vehicle speed belongs to the preset vehicle speed range, and the gear is automatic.

[0012] A second aspect of this disclosure provides a hybrid vehicle energy consumption strategy determination apparatus, the apparatus comprising: The sampling module is used to sample the target vehicle's preset engine performance model based on the reference operating point to obtain at least two candidate operating points. The operating points are used to characterize the engine's performance parameters. The determination module is used to determine the vehicle energy consumption corresponding to at least two candidate operating conditions based on at least two candidate operating conditions and the battery output power of the vehicle's power battery. The control module is used to control the engine operation of the target vehicle based on the target operating point among at least two candidate operating points, where the overall vehicle energy consumption is lowest at the target operating point.

[0013] In some embodiments of this disclosure, candidate operating points include candidate engine speed and candidate engine torque, reference operating points include reference engine speed and reference engine torque, and the sampling module includes: The first sampling unit is used to sample on a preset engine performance model based on a preset torque unit change when the target vehicle's power mode is direct drive mode, with a reference operating point as the benchmark, to obtain at least two candidate operating points. The second sampling unit is used to determine the reference engine output power based on the reference engine speed and reference engine torque when the power mode of the target vehicle is in series mode, determine at least two candidate engine output powers based on the reference engine output power and the preset unit change amount of engine output power, and sample on the preset engine performance model based on the at least two candidate engine output powers to obtain at least two candidate operating points.

[0014] In some embodiments of this disclosure, the determining module includes: The first determining unit is used to determine the engine energy consumption corresponding to at least two candidate operating conditions based on at least two candidate operating conditions and a first adjustment parameter. The first adjustment parameter is used to make an equivalent adjustment to the engine energy consumption. The second determining unit is used to determine the power battery energy consumption corresponding to at least two candidate operating conditions based on at least two candidate operating conditions, battery output power and a second adjustment parameter. The second adjustment parameter is used to make an equivalent adjustment to the power battery energy consumption. The third determining unit is used to determine the vehicle energy consumption corresponding to at least two candidate operating conditions based on the engine energy consumption corresponding to at least two candidate operating conditions and the power battery energy consumption corresponding to at least two candidate operating conditions.

[0015] In some embodiments of this disclosure, the first adjustment parameter is a fuel injection quantity correction coefficient, and the first determining unit is specifically used for: Based on the correspondence between engine intake air temperature, candidate operating points and engine instantaneous fuel injection quantity, determine the engine base fuel injection quantity corresponding to at least two candidate operating points respectively. Based on the engine's basic fuel injection quantity, first adjustment parameters, and preset fuel calorific value corresponding to at least two candidate operating conditions, determine the engine energy consumption corresponding to at least two candidate operating conditions.

[0016] In some embodiments of this disclosure, the second determining unit is specifically used for: Based on a reference operating point and at least two candidate operating points, calculate the change in engine output power corresponding to each of the at least two candidate operating points. The change in engine output power is the difference between the engine output power corresponding to the candidate operating point and the reference operating point. Based on the actual speed and torque of the motor in the target vehicle, and the speed difference between the candidate engine speed at at least two candidate operating points and the reference engine speed at the reference operating point, determine the motor efficiency corresponding to each of the at least two candidate operating points. Based on the battery output power, the engine output power change corresponding to at least two candidate operating points, and the motor efficiency corresponding to at least two candidate operating points, determine the battery equivalent power corresponding to at least two candidate operating points. Based on the battery equivalent power corresponding to at least two candidate operating conditions and the second adjustment parameter, the power battery energy consumption corresponding to at least two candidate operating conditions is determined.

[0017] In some embodiments of this disclosure, the second adjustment parameter includes a power correction factor and a penalty factor for further correcting the power correction factor. The second determining unit is further configured to: Based on the difference between the expected and actual remaining power of the vehicle's power battery, a first correction factor, and a second correction factor, a power correction coefficient is determined. The first correction factor is used to characterize the influence of ambient temperature on the remaining power of the battery, and the second correction factor is used to characterize the influence of the current vehicle speed on the remaining power of the battery. The penalty coefficient is determined based on the difference between the expected and actual remaining charge of the vehicle's power battery and the available range of the remaining battery charge. Based on the battery equivalent power, energy correction coefficient, and penalty coefficient corresponding to at least two candidate operating conditions, the power battery energy consumption corresponding to at least two candidate operating conditions is determined.

[0018] In some embodiments of this disclosure, the hybrid vehicle energy consumption strategy determination device further includes: The elimination module is used to eliminate the first candidate working point from the at least two candidate working points if the first candidate working point in the at least two candidate working points meets the target condition, so that the at least two candidate working points do not contain the first candidate working point. The target conditions include: The first candidate engine speed and the first candidate engine torque in the first candidate operating condition point exceed the engine external characteristic curve of the target vehicle. The engine external characteristic curve is the curve of engine speed changing with engine torque when the engine is under full load. The equivalent torque of the motor in the target vehicle is greater than the rated torque of the motor. The equivalent torque of the motor is determined based on the speed difference between the first candidate engine speed and the reference engine speed in the reference operating point, as well as the actual torque of the motor. The equivalent power of the battery at the first candidate operating point is greater than the peak power of the battery.

[0019] In some embodiments of this disclosure, the sampling module is specifically used to perform a step of sampling on a preset engine performance model of the target vehicle based on a reference operating point to obtain at least two candidate operating points in response to the target vehicle's vehicle state meeting preset function enable conditions. The function enable conditions include at least one of the following: the power mode is series mode or direct drive mode, the current vehicle speed belongs to a preset vehicle speed range, and the gear is automatic gear.

[0020] A third aspect of this disclosure provides a computer device including a memory and a processor, and a computer program, wherein the memory stores the computer program, and when the computer program is executed by the processor, it implements the hybrid vehicle energy consumption strategy determination method of the first aspect described above.

[0021] A fourth aspect of this disclosure provides a vehicle including the computer equipment provided in the third aspect.

[0022] A fifth aspect of this disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement the hybrid vehicle energy consumption strategy determination method provided in the first aspect.

[0023] A sixth aspect of this disclosure provides a computer program product comprising a computer program or instructions that, when executed by a processor, implement the hybrid vehicle energy consumption strategy determination method of the first aspect described above.

[0024] The technical solution provided in this disclosure has the following advantages compared with the prior art: In the hybrid vehicle energy consumption strategy determination method, device, and vehicle provided in this disclosure, at least two candidate operating conditions are obtained by sampling on a preset engine performance model of the target vehicle based on a reference operating condition point. The operating condition point is used to characterize the performance parameters of the engine. Based on the at least two candidate operating conditions point and the battery output power of the vehicle's power battery, the overall vehicle energy consumption corresponding to the at least two candidate operating conditions point is determined. The engine operation of the target vehicle is controlled based on the target operating condition point among the at least two candidate operating conditions point. The overall vehicle energy consumption corresponding to the target operating condition point is the lowest. Multiple candidate operating conditions point can be obtained on the preset engine performance model based on the reference operating condition point. Combined with the battery output power of the vehicle's power battery, the power battery is included in the energy consumption consideration scope to determine the overall vehicle energy consumption corresponding to each candidate operating condition point. The energy consumption of the candidate operating conditions point is evaluated by the overall vehicle energy consumption, and then the target operating condition point with the lowest overall vehicle energy consumption is selected and executed. Compared with the traditional control method that only considers engine energy consumption, the overall energy consumption of the vehicle during actual driving is reduced, thereby improving fuel economy. Attached Figure Description

[0025] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0026] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a flowchart of a method for determining the energy consumption strategy of a hybrid vehicle provided in an embodiment of this disclosure; Figure 2 This is a flowchart of a method for determining candidate operating points provided in an embodiment of this disclosure; Figure 3 This is a flowchart of a method for determining vehicle energy consumption provided in an embodiment of this disclosure; Figure 4 This is a flowchart of a method for determining engine energy consumption provided in an embodiment of this disclosure; Figure 5This is a flowchart of a method for determining the energy consumption of a power battery according to an embodiment of this disclosure; Figure 6 This is a schematic diagram of the structure of a hybrid vehicle energy consumption strategy determination device provided in an embodiment of this disclosure; Figure 7 This is a schematic diagram of the structure of a computer device provided in an embodiment of this disclosure. Detailed Implementation

[0028] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0029] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0030] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0031] With rising energy costs and stricter environmental requirements, finding an effective way to reduce vehicle energy consumption has become increasingly urgent. Traditional methods of selecting appropriate engine operating points based on the engine's universal characteristic curve only consider the engine's own performance, finding the operating point with the lowest energy consumption. This approach fails to take into account the complex operating conditions and comprehensive performance requirements of the vehicle under actual driving conditions, neglecting the energy management of the entire vehicle system. This often results in the vehicle's energy consumption not reaching optimal levels, thus affecting its economy and environmental friendliness. To address this problem, this disclosure provides a method for determining the energy consumption strategy of hybrid vehicles, which will be described below with reference to specific embodiments.

[0032] Figure 1 This is a flowchart illustrating a method for determining the energy consumption strategy of a hybrid vehicle according to an embodiment of this disclosure. This method can be executed by a hybrid vehicle energy consumption strategy determination device, which can be implemented in software and / or hardware, and can be configured in a hybrid vehicle. Figure 1 As shown, the hybrid vehicle energy consumption strategy determination method provided in this embodiment includes the following steps: S101. Using the reference operating point as a benchmark, sample the preset engine performance model of the target vehicle to obtain at least two candidate operating points. The operating points are used to characterize the engine's performance parameters.

[0033] In this embodiment, the operating points are used to characterize the engine's performance parameters. The reference operating point can be understood as a suitable engine operating point pre-selected using a preset engine performance model, and the candidate operating point can be understood as an engine operating point sampled from the preset engine performance model based on the reference operating point. The preset engine performance model can be understood as a visualization model used to characterize engine performance. The preset engine performance model includes different operating points corresponding to different engine performance characteristics. For example, the preset engine model can be an engine universal characteristic diagram, where the horizontal and vertical axes can be engine speed and engine torque, respectively. Both the reference operating point and the candidate operating point contain information on engine speed and engine torque.

[0034] In this embodiment of the present disclosure, the sampled candidate operating points include multiple candidate operating points. In order to facilitate the subsequent determination of the target operating point for controlling the engine operation based on the candidate operating points, at least two candidate operating points are selected during sampling, so that a target operating point can be determined based on at least two candidate operating points in the future.

[0035] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can, during the driving process of a target vehicle using hybrid power, when it is necessary to determine the target operating point that makes the overall vehicle energy consumption lower, sample on the preset engine performance model of the target vehicle based on the reference operating point to obtain at least two candidate operating points.

[0036] In one exemplary embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can perform a sampling process on a preset engine performance model of the target vehicle at preset intervals when the target vehicle is in a driving state. Specifically, it can randomly sample within a preset area around the reference operating point in the engine universal characteristic diagram, or it can sample uniformly, and determine the hybrid vehicle energy consumption strategy corresponding to the sampling result as a candidate operating point.

[0037] S102. Based on at least two candidate operating conditions and the battery output power of the vehicle's power battery, determine the vehicle energy consumption corresponding to at least two candidate operating conditions.

[0038] In this embodiment of the disclosure, the vehicle energy consumption can be understood as the sum of the energy consumption provided by the power system on the target vehicle. For example, the vehicle energy consumption can be the sum of the energy consumption of the engine and the power battery.

[0039] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can determine the overall vehicle energy consumption corresponding to each candidate operating point after determining at least two candidate operating points of the engine, based on the information of the candidate operating point, such as the candidate engine speed and candidate engine torque of the candidate operating point, and the battery output power of the vehicle power battery.

[0040] In one exemplary embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can calculate the engine output power corresponding to each candidate operating point based on the candidate engine speed and candidate engine torque of the candidate operating point, sum the engine output power of the engine output power of the vehicle power battery, and determine the summation result as the vehicle energy consumption corresponding to the candidate operating point.

[0041] In another exemplary embodiment of this disclosure, the hybrid vehicle energy consumption strategy determination device can employ a pre-trained vehicle energy consumption prediction model. Candidate engine speeds and torques at candidate operating points, along with the vehicle's battery output power, are input into the vehicle energy consumption prediction model. The model then predicts the vehicle energy consumption corresponding to the candidate operating point and outputs the prediction result. The vehicle energy consumption prediction model can be a machine learning model pre-trained using training data collected during historical driving. The training data can include historical engine speeds, historical engine torques, historical battery output power, and historical vehicle energy consumption at historical operating points.

[0042] S103. Control the engine operation of the target vehicle based on the target operating point among at least two candidate operating points, where the vehicle energy consumption corresponding to the target operating point is the lowest.

[0043] The target operating point in this embodiment can be understood as the candidate operating point with the lowest overall vehicle energy consumption among at least two candidate operating points.

[0044] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can, after determining the vehicle energy consumption corresponding to at least two candidate operating points, select the candidate operating point with the lowest vehicle energy consumption as the target operating point, and control the engine operation of the target vehicle based on the target operating point.

[0045] This embodiment of the disclosure obtains at least two candidate operating conditions by sampling on a preset engine performance model of the target vehicle using a reference operating condition point as a benchmark. These operating conditions point characterize the engine's performance parameters. Based on the at least two candidate operating conditions point and the battery output power of the vehicle's power battery, the overall vehicle energy consumption corresponding to each of the at least two candidate operating conditions point is determined. The engine operation of the target vehicle is controlled based on the target operating condition point among the at least two candidate operating conditions point. The overall vehicle energy consumption corresponding to the target operating condition point is the lowest. This method can obtain multiple candidate operating conditions point on the preset engine performance model using a reference operating condition point as a benchmark. By combining the battery output power of the vehicle's power battery, the power battery is included in the energy consumption consideration, and the overall vehicle energy consumption corresponding to each candidate operating condition point is determined. The energy consumption of the candidate operating conditions point is evaluated based on the overall vehicle energy consumption, and then the target operating condition point with the lowest overall vehicle energy consumption is selected and executed. Compared with the traditional control method that only considers engine energy consumption, this method reduces the overall energy consumption of the vehicle during actual driving, thereby improving fuel economy.

[0046] Figure 2 This is a flowchart of a method for determining candidate operating points provided in an embodiment of this disclosure, such as... Figure 2 As shown, based on the above embodiments, candidate operating points can be determined by the following method.

[0047] S201. When the target vehicle's power mode is direct drive mode, take the reference operating point as a benchmark and sample the preset engine performance model based on the preset torque unit change to obtain at least two candidate operating points.

[0048] In this embodiment of the disclosure, the vehicle's power mode can be divided into series mode and parallel mode. Direct drive mode is a type of parallel mode. In direct drive mode, the engine directly drives the vehicle as the main power source, and the electric motor assists in driving or generating electricity as needed.

[0049] In this embodiment of the disclosure, the candidate operating point includes the candidate engine speed and the candidate engine torque, and the reference operating point includes the reference engine speed and the reference engine torque.

[0050] The unit change in torque in this embodiment can be understood as the difference between the torques of two adjacent candidate engines when determining the torque of a candidate engine at a candidate operating point.

[0051] In this embodiment of the present disclosure, when it is necessary to determine candidate operating conditions, the hybrid vehicle energy consumption strategy determination device can first determine the power mode of the target vehicle. When the power mode is direct drive mode, the reference engine speed is determined as the candidate engine speed for each candidate operating condition based on the reference operating condition. Based on the reference engine torque, the preset torque unit change amount is used as the sampling interval to determine at least two candidate engine torques. The candidate engine speed and candidate engine torque are combined and sampled on the preset engine performance model to obtain at least two candidate operating conditions.

[0052] S202. When the target vehicle's power mode is series mode, determine the reference engine output power based on the reference engine speed and reference engine torque. Based on the reference engine output power and the preset unit change in engine output power, determine at least two candidate engine output powers. Based on the at least two candidate engine output powers, sample on the preset engine performance model to obtain at least two candidate operating points.

[0053] In this embodiment of the disclosure, in series mode, the engine starts but does not directly drive the wheels; instead, it drives the generator to generate electricity, which is then supplied to the drive motor or stored in the battery.

[0054] The unit change in engine output power in this embodiment can be understood as the difference between the engine output power corresponding to two adjacent candidate operating points when determining the candidate operating points.

[0055] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can determine the reference engine output power based on the reference engine speed and reference engine torque when the power mode of the target vehicle is determined to be in series mode. Specifically, it can calculate the product of the reference engine speed and the reference engine torque, and on the basis of the reference engine output power, use a preset unit change in engine output power as the sampling interval to determine at least two candidate engine output powers. Based on the at least two candidate engine output powers, it can sample on a preset engine performance model to obtain at least two candidate operating points, so that the engine output power corresponding to the at least two candidate operating points are respectively the at least two candidate engine output powers.

[0056] In one exemplary embodiment of the present disclosure, after determining the output power of at least two candidate engines, at least two candidate operating points corresponding to the output power of at least two candidate engines can be determined based on the operating points corresponding to the output power of each engine pre-calibrated on a preset engine performance model.

[0057] This embodiment of the present disclosure, when the target vehicle's power mode is direct drive mode, uses a reference operating point as a benchmark and samples a preset engine performance model based on a preset torque unit change to obtain at least two candidate operating points. When the target vehicle's power mode is series mode, it determines a reference engine output power based on a reference engine speed and a reference engine torque, and determines at least two candidate engine output powers based on the reference engine output power and a preset engine output power unit change. It then samples a preset engine performance model based on these at least two candidate engine output powers to obtain at least two candidate operating points. This approach fully considers the differences in engine performance and their relationship with the vehicle's power system under different power modes. In direct drive mode, the engine directly drives the vehicle, and its torque output directly affects the vehicle's power performance and energy consumption. In series mode, the engine drives a generator to generate electricity, and the engine's output power determines the power supply, thus affecting the vehicle's energy consumption and power performance. Therefore, by using a method adapted to the power mode to adjust the reference operating point, the rationality of determining the candidate operating points is improved, facilitating the subsequent finding of target operating points that reduce the vehicle's energy consumption based on reasonable candidate operating points.

[0058] Figure 3 This is a flowchart of a method for determining vehicle energy consumption provided in an embodiment of this disclosure, such as... Figure 3 As shown, based on the above embodiments, the energy consumption of the whole vehicle can be determined by the following method.

[0059] S301. Based on at least two candidate operating conditions and a first adjustment parameter, determine the engine energy consumption corresponding to the at least two candidate operating conditions respectively. The first adjustment parameter is used to make an equivalent adjustment to the engine energy consumption.

[0060] The first adjustment parameter in this embodiment can be understood as a compensation coefficient used to make equivalent adjustments to the deviation of engine energy consumption from the theoretical value caused by changes in environment or operating conditions (such as altitude, ambient temperature, vehicle speed, etc.). The equivalent adjustment is used to reduce the impact of the deviation of engine energy consumption from the theoretical value caused by changes in environment or operating conditions on the determination of engine energy consumption.

[0061] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can determine the engine energy consumption of each candidate operating point by combining the first adjustment parameter after determining at least two candidate operating points.

[0062] In one exemplary embodiment of this disclosure, the hybrid vehicle energy consumption strategy determination device can determine the corresponding first adjustment coefficient by looking up a table based on the target vehicle's driving environment or operating conditions, and then calculate the engine energy consumption for each candidate operating point using a preset engine energy consumption calculation formula. Alternatively, a pre-trained engine energy consumption prediction model can be used. The candidate engine speed and torque for each candidate operating point, along with the first adjustment parameter corresponding to the current situation, are input into the engine energy consumption prediction model. The engine energy consumption prediction model then predicts the engine energy consumption corresponding to that candidate operating point and outputs the prediction result. The engine energy consumption prediction model can be a machine learning model pre-trained using training data collected during historical driving processes. The training data can include historical engine speed, historical engine torque, historical first adjustment parameter, and historical engine energy consumption for historical operating points.

[0063] S302. Based on at least two candidate operating conditions, battery output power, and a second adjustment parameter, determine the power battery energy consumption corresponding to at least two candidate operating conditions respectively. The second adjustment parameter is used to make an equivalent adjustment to the power battery energy consumption.

[0064] The second adjustment parameter in this embodiment can be understood as a compensation coefficient used to make equivalent adjustments to the deviation of the power battery energy consumption from the theoretical value caused by changes in the environment or operating conditions (such as altitude, ambient temperature, vehicle speed, etc.). The equivalent adjustment is used to reduce the impact of the deviation of the power battery energy consumption from the theoretical value caused by changes in the environment or operating conditions on the determination of the power battery energy consumption.

[0065] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can determine the power battery energy consumption of each candidate operating condition point by combining the battery output power and the second adjustment parameter after determining at least two candidate operating conditions points.

[0066] In one exemplary embodiment of this disclosure, the hybrid vehicle energy consumption strategy determination device can determine the corresponding second adjustment coefficient by looking up a table based on the target vehicle's driving environment or operating conditions, and then calculate the power battery energy consumption for each candidate operating condition using a preset power battery energy consumption calculation formula. Specifically, the impact value of each candidate operating condition on the power battery energy consumption can be calculated, and then, based on the impact value, battery output power, and second adjustment parameters, the power battery energy consumption for each candidate operating condition can be calculated by substituting them into the preset power battery energy consumption calculation formula.

[0067] S303. Based on the engine energy consumption corresponding to at least two candidate operating conditions and the power battery energy consumption corresponding to at least two candidate operating conditions, determine the vehicle energy consumption corresponding to at least two candidate operating conditions.

[0068] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can, after determining the engine energy consumption corresponding to at least two candidate operating conditions and the power battery energy consumption corresponding to at least two candidate operating conditions, calculate the sum of the engine energy consumption and the power battery energy consumption corresponding to each candidate operating condition, and determine the calculation result as the vehicle energy consumption of the candidate operating condition.

[0069] This embodiment of the disclosure determines the engine energy consumption corresponding to at least two candidate operating conditions based on at least two candidate operating conditions and a first adjustment parameter. The first adjustment parameter is used to make an equivalent adjustment to the engine energy consumption. Based on at least two candidate operating conditions, battery output power, and a second adjustment parameter, the power battery energy consumption corresponding to at least two candidate operating conditions is determined. The second adjustment parameter is used to make an equivalent adjustment to the power battery energy consumption. Based on the engine energy consumption and power battery energy consumption corresponding to at least two candidate operating conditions, the overall vehicle energy consumption corresponding to at least two candidate operating conditions is determined. This method can first determine the engine energy consumption and power battery energy consumption corresponding to each candidate operating condition, and then make equivalent adjustments to the engine energy consumption and power battery energy consumption by combining the first and second adjustment parameters. This reduces the impact of changes in environment or operating conditions on engine energy consumption and power battery energy consumption, improves the accuracy of determining engine energy consumption and power battery energy consumption, and thus obtains a more accurate overall vehicle energy consumption, providing reliable data support for subsequent determination of target operating conditions.

[0070] Figure 4 This is a flowchart illustrating a method for determining engine energy consumption according to an embodiment of this disclosure. Figure 4 As shown, based on the above embodiments, engine energy consumption can be determined by the following method.

[0071] S401. Based on the correspondence between engine intake air temperature, candidate operating points and engine instantaneous fuel injection quantity, determine the engine base fuel injection quantity corresponding to at least two candidate operating points respectively.

[0072] In this embodiment of the disclosure, the first adjustment parameter can be a fuel injection quantity correction coefficient, used to correct for differences in fuel injection quantity caused by different altitudes. The engine's base fuel injection quantity can be understood as the engine's fuel injection quantity at a standard altitude without correction by the first adjustment parameter.

[0073] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can obtain the current ambient temperature when determining engine energy consumption and determine the current ambient temperature as the engine intake air temperature. Based on the engine intake air temperature and candidate operating points, the device can find the engine base injection quantity corresponding to each candidate operating point at the current engine intake air temperature in the correspondence between engine intake air temperature, candidate operating points and engine instantaneous fuel injection quantity recorded in the engine universal characteristic table.

[0074] S402. Based on the engine base injection quantity, first adjustment parameter and preset fuel calorific value corresponding to at least two candidate operating conditions, determine the engine energy consumption corresponding to at least two candidate operating conditions.

[0075] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can, after determining the basic fuel injection quantity of the engine corresponding to each candidate operating point at the current engine intake air temperature, obtain the first adjustment parameter corresponding to the current altitude, and calculate the product of the basic fuel injection quantity of the engine and the first adjustment parameter to obtain the corrected fuel injection quantity of the engine corresponding to each candidate operating point. Then, it can calculate the product of the corrected fuel injection quantity of the engine corresponding to each candidate operating point and the calorific value of the fuel to obtain the engine energy consumption corresponding to each candidate operating point.

[0076] This embodiment of the disclosure determines the basic fuel injection quantity of the engine corresponding to at least two candidate operating points based on the correspondence between engine intake air temperature, candidate operating points, and instantaneous fuel injection quantity. Based on the basic fuel injection quantity of the engine corresponding to at least two candidate operating points, a first adjustment parameter, and a preset fuel calorific value, the engine energy consumption corresponding to at least two candidate operating points is determined. It can combine engine intake air temperature and candidate operating points to look up the basic fuel injection quantity of the engine, thus fully considering the influence of engine intake air temperature when determining the engine fuel injection quantity, obtaining an accurate basic fuel injection quantity of the engine. Then, combined with the fuel calorific value and altitude correction coefficient, the engine energy consumption is calculated, reducing the influence of the vehicle's altitude on the determination of engine energy consumption, thereby obtaining a more accurate engine energy consumption, improving the accuracy of the determined engine energy consumption, and facilitating the subsequent finding of target operating points to reduce the overall vehicle energy consumption based on accurate engine energy consumption.

[0077] Figure 5 This is a flowchart of a method for determining the energy consumption of a power battery according to an embodiment of this disclosure, such as... Figure 5 As shown, based on the above embodiments, the power battery energy consumption can be determined by the following method.

[0078] S501. Based on the reference operating point and at least two candidate operating points, calculate the change in engine output power corresponding to the at least two candidate operating points respectively. The change in engine output power is the difference between the engine output power corresponding to the candidate operating point and the reference operating point.

[0079] In this embodiment of the present disclosure, when determining the energy consumption of the power battery, the hybrid vehicle energy consumption strategy determination device can first calculate the engine output power corresponding to the reference operating point and the engine output power corresponding to each candidate operating point, and then subtract the engine output power corresponding to each candidate operating point from the engine output power corresponding to the reference operating point to determine the change in engine output power corresponding to each candidate operating point.

[0080] Optionally, the engine output power corresponding to the reference operating point can be the product of the reference engine speed and the reference engine torque, and the engine output power corresponding to the candidate operating points can be the product of the candidate engine speed and the candidate engine torque.

[0081] S502. Based on the actual speed of the motor in the target vehicle, the actual torque of the motor, and the speed difference between the candidate engine speed at at least two candidate operating points and the reference engine speed at the reference operating point, determine the motor efficiency corresponding to each of the at least two candidate operating points.

[0082] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can calculate the speed difference between the candidate engine speed at each of at least two candidate operating conditions and the reference engine speed at a reference operating condition, and determine the equivalent speed of the motor corresponding to the candidate operating condition by combining the actual speed of the motor and the speed difference, and determine the equivalent torque of the motor corresponding to the candidate operating condition by combining the actual torque of the motor and the speed difference, and then determine the motor efficiency corresponding to each candidate operating condition by looking up a table based on the equivalent speed and equivalent torque of the motor corresponding to each candidate operating condition.

[0083] Optionally, the hybrid vehicle energy consumption strategy determination device can calculate the speed ratio of candidate engine speed to motor speed at each candidate operating point, and then calculate the equivalent speed and equivalent torque of the motor corresponding to each candidate operating point in the following manner: The equivalent speed of the motor corresponding to the candidate operating point = the actual speed of the motor + the speed difference between the candidate engine speed and the reference engine speed × speed ratio; The equivalent torque of the motor corresponding to the candidate operating point = the actual torque of the motor + the speed difference between the candidate engine speed and the reference engine speed ÷ speed ratio.

[0084] S503. Based on the battery output power, the change in engine output power corresponding to at least two candidate operating points, and the motor efficiency corresponding to at least two candidate operating points, determine the battery equivalent power corresponding to at least two candidate operating points.

[0085] In this embodiment, the hybrid vehicle energy consumption strategy determination device can calculate the battery equivalent power for each candidate operating condition based on the battery output power, the change in engine output power, and the motor efficiency corresponding to each candidate operating condition. Specifically, the calculation method for the comprehensive efficiency of the motor and transmission system can be determined according to the driving mode of the target vehicle. When the power mode is series mode, the product of the motor efficiency and the transmission efficiency is determined as the comprehensive efficiency. When the power mode is direct drive mode, the transmission efficiency corresponding to the current driving gear is determined, and then the product of the motor efficiency and the transmission efficiency corresponding to the gear is determined as the comprehensive efficiency. After determining the comprehensive efficiency, the charging and discharging state information of the vehicle's power battery is further obtained. When the vehicle's power battery is in a charging state, the battery equivalent power corresponding to each candidate operating condition is calculated in the following way: The equivalent battery power at the candidate operating point = battery output power + change in engine output power at the candidate operating point × overall efficiency; When the vehicle's power battery is in a discharged state, the equivalent battery power corresponding to each candidate operating point is calculated using the following method: The equivalent battery power at the candidate operating point = battery output power + change in engine output power at the candidate operating point ÷ overall efficiency.

[0086] S504. Based on the equivalent battery power corresponding to at least two candidate operating conditions and the second adjustment parameter, determine the power battery energy consumption corresponding to at least two candidate operating conditions.

[0087] In this embodiment of the present disclosure, the hybrid vehicle energy consumption strategy determination device can, after determining the equivalent battery power corresponding to each candidate operating point, further adjust the equivalent battery power in combination with the second adjustment parameter to obtain the power battery energy consumption corresponding to each candidate operating point.

[0088] This disclosure embodiment calculates the engine output power change corresponding to at least two candidate operating points based on a reference operating point and at least two candidate operating points. The engine output power change is the difference between the engine output power corresponding to the candidate operating point and the reference operating point. Based on the actual speed of the motor in the target vehicle, the actual torque of the motor, and the speed difference between the candidate engine speed at the at least two candidate operating points and the reference engine speed at the reference operating point, the motor efficiency corresponding to at least two candidate operating points is determined. Based on the battery output power, the engine output power change corresponding to at least two candidate operating points, and the speed difference between the candidate engine speed at the at least two candidate operating points, the efficiency of the motor at each of the at least two candidate operating points is determined. By differentiating the corresponding motor efficiency, the equivalent battery power corresponding to at least two candidate operating conditions is determined. Based on the equivalent battery power corresponding to at least two candidate operating conditions and the second adjustment parameter, the power battery energy consumption corresponding to at least two candidate operating conditions is determined. This method can comprehensively consider the impact of multiple factors such as engine output power variation, motor efficiency, and battery output power on power battery energy consumption. Through a refined evaluation method, the accuracy of determining power battery energy consumption is improved, making the final power battery energy consumption more consistent with the actual situation and avoiding errors caused by a single factor. This provides more reliable data support for finding target operating conditions to reduce overall vehicle energy consumption.

[0089] In some embodiments, the second adjustment parameter includes a power correction coefficient and a penalty coefficient for further correcting the power correction coefficient. S504 specifically includes: determining a power correction coefficient based on the power difference between the expected and actual remaining power of the vehicle's power battery, a first correction factor, and a second correction factor, wherein the first correction factor characterizes the influence of ambient temperature on the remaining battery power, and the second correction factor characterizes the influence of the current vehicle speed on the remaining battery power; determining a penalty coefficient based on the power difference between the expected and actual remaining power of the vehicle's power battery and the available range of the remaining battery power; and determining the power battery energy consumption corresponding to at least two candidate operating conditions based on the battery equivalent power, the power correction coefficient, and the penalty coefficient corresponding to at least two candidate operating conditions.

[0090] Specifically, the hybrid vehicle energy consumption strategy determination device can determine the battery equivalent power corresponding to each candidate operating point after determining the battery correction coefficient and penalty coefficient, and then combine the battery equivalent power corresponding to each candidate operating point with the battery correction coefficient and penalty coefficient to determine the power battery energy consumption corresponding to each candidate operating point.

[0091] Specifically, regarding the battery charge correction coefficient, a first correction factor characterizing the impact of ambient temperature on the remaining battery charge, and a second correction factor characterizing the impact of current vehicle speed on the remaining battery charge, can be obtained. These factors, combined with the difference between the expected and actual remaining battery charge, the first correction factor, and the second correction factor, determine the battery charge correction coefficient. Remaining charge (State of Charge, SOC) can be understood as the percentage of the battery's total capacity that remains. The expected remaining battery charge can be obtained by summing the first expected SOC, the second expected SOC, and the third expected SOC. The first expected SOC is the sum of the SOC obtained from a table based on the total power consumed by high-voltage accessories and the first SOC compensation value obtained from a table based on the current vehicle speed. The second expected SOC is the result of correcting the base SOC obtained from a table based on battery temperature or ambient temperature and driving mode, after applying a slope correction factor and an atmospheric pressure correction factor. The third expected SOC is the second SOC compensation value obtained from a table based on the current vehicle speed. After determining the expected remaining power, the power difference between the expected remaining power and the actual remaining power is calculated, and the power difference is adjusted proportionally and integrally. The product of the adjustment result with the first correction factor and the second correction factor is determined as the power correction coefficient.

[0092] The penalty coefficient can be calculated using the following method:

[0093] in, The penalty coefficient is... This represents the actual remaining battery power. To the desired remaining battery power, This represents the highest usable remaining battery capacity. This represents the minimum usable remaining battery power. This refers to the usable range of the remaining battery power.

[0094] After determining the battery equivalent power, energy correction coefficient, and penalty coefficient corresponding to each candidate operating condition, the product of the battery equivalent power, energy correction coefficient, and penalty coefficient is calculated, and the calculation result is determined as the power battery energy consumption corresponding to each candidate operating condition.

[0095] This embodiment of the disclosure determines a power correction coefficient based on the difference between the expected and actual remaining power of the vehicle's power battery, a first correction factor, and a second correction factor. The first correction factor characterizes the influence of ambient temperature on the remaining battery power, and the second correction factor characterizes the influence of current vehicle speed on the remaining battery power. A penalty coefficient is determined based on the difference between the expected and actual remaining power of the vehicle's power battery and the available range of the remaining battery power. Based on the equivalent battery power, power correction coefficient, and penalty coefficient corresponding to at least two candidate operating points, the power battery energy consumption corresponding to at least two candidate operating points is determined. This approach takes into account the interaction of multiple complex factors affecting the actual energy consumption of the vehicle's power battery. Therefore, by comprehensively considering ambient temperature, current vehicle speed, and the available range of remaining power, the power battery energy consumption is corrected, reducing the influence of these factors on the power battery energy consumption. Through a refined evaluation method, the actual energy consumption of the power battery at each candidate operating point is comprehensively and accurately evaluated, further improving the accuracy of power battery energy consumption determination. This makes the final power battery energy consumption more consistent with the actual situation, avoiding errors caused by a single factor, and facilitating the subsequent identification of target operating points with lower overall vehicle energy consumption based on accurate power battery energy consumption.

[0096] In some embodiments, before controlling the engine operation of the target vehicle based on the target operating point among at least two candidate operating points, the hybrid vehicle energy consumption strategy determination device may, if the first candidate operating point among the at least two candidate operating points meets the target conditions, remove the first candidate operating point from the at least two candidate operating points, so that the at least two candidate operating points do not include the first candidate operating point. The target conditions include: the first candidate engine speed and the first candidate engine torque in the first candidate operating point exceed the engine external characteristic curve of the target vehicle, the engine external characteristic curve being the curve of engine speed changing with engine torque when the engine is under full load; and / or, the equivalent torque of the motor in the target vehicle is greater than the rated torque of the motor, the equivalent torque of the motor is determined based on the speed difference between the first candidate engine speed and the reference engine speed in the reference operating point and the actual torque of the motor; and / or: the battery equivalent power corresponding to the first candidate operating point is greater than the battery peak power.

[0097] Specifically, before selecting the target operating point with the lowest overall vehicle energy consumption from the candidate operating points, the hybrid vehicle energy consumption strategy determination device can determine whether there is a first candidate operating point among the candidate operating points that satisfies at least one of the following target conditions. If so, the first candidate operating point is removed from at least two candidate operating points.

[0098] The target conditions include: a. If the points corresponding to the first candidate engine speed and the first candidate engine torque in the first candidate operating condition point are located outside the engine external characteristic curve on the engine universal characteristic diagram, then it is determined that the first candidate engine speed and the first candidate engine torque exceed the engine external characteristic curve.

[0099] b. The equivalent torque of the motor is determined based on the speed difference between the first candidate engine speed in the first candidate operating point and the reference engine speed in the reference operating point, and the actual torque of the motor. The equivalent torque of the motor is greater than the rated torque of the motor. The method for determining the equivalent torque of the motor is the same as that in S502, and will not be repeated here.

[0100] c. The battery equivalent power corresponding to the first candidate operating point is greater than the battery peak power. The method for determining the battery equivalent power is the same as that in S503, and will not be repeated here.

[0101] This embodiment of the disclosure eliminates a first candidate operating condition from at least two candidate operating conditions if the first candidate operating condition among at least two candidate operating conditions meets the target conditions, so that the at least two candidate operating conditions do not contain the first candidate operating condition. The target conditions include: the first candidate engine speed and the first candidate engine torque in the first candidate operating condition exceed the engine external characteristic curve of the target vehicle, the engine external characteristic curve is the curve of engine speed changing with engine torque when the engine is under full load, and / or, the equivalent torque of the motor in the target vehicle is greater than the rated torque of the motor, the equivalent torque of the motor is based on the speed difference between the first candidate engine speed and the reference engine speed in the reference operating condition and the actual torque of the motor. If the torque is determined, and / or the equivalent battery power corresponding to the first candidate operating point is greater than the peak battery power, the corresponding operating point can be removed from the candidate operating points if the candidate engine speed and candidate engine torque exceed the external characteristic curve, the equivalent motor torque exceeds the rated torque, and the equivalent battery power exceeds the peak power. This ensures that at least two candidate operating points do not include the first candidate operating point, thereby preventing the determination of the target operating point based on the candidate operating points in subsequent determinations. This avoids determining the first candidate operating point that meets the target conditions as the target operating point, thus preventing the engine and motor from operating under unsafe and unstable conditions. At the same time, it ensures that the battery operates within a reasonable power range, improving the safety and reliability of hybrid vehicle operation and reducing maintenance costs.

[0102] In some embodiments, S101 may be a step of sampling on a preset engine performance model of the target vehicle based on a reference operating point to obtain at least two candidate operating points in response to the target vehicle's vehicle state meeting preset function enabling conditions. The function enabling conditions include at least one of the following: the power mode is series mode or direct drive mode, the current vehicle speed belongs to a preset vehicle speed range, and the gear is automatic gear.

[0103] Specifically, before sampling candidate operating conditions, the hybrid vehicle energy consumption strategy determination device can determine whether the target vehicle's state meets preset function enabling conditions, namely, whether the target vehicle's power mode is series mode or direct drive mode, the target vehicle's current speed is within a preset speed range, and the target vehicle's gear is automatic. If the function enabling conditions are met, the step in S101, which uses the reference operating condition as a benchmark to sample on the target vehicle's preset engine performance model, is executed to obtain at least two candidate operating conditions.

[0104] This embodiment of the present disclosure, in response to the target vehicle's state meeting preset function enable conditions, performs a step of sampling on a preset engine performance model of the target vehicle based on a reference operating point to obtain at least two candidate operating points. The function enable conditions include at least one of the following: the power mode is a direct drive mode in series or parallel modes; the current vehicle speed belongs to a preset vehicle speed range; and the gear is an automatic gear. This takes into account the requirements of a rigorous vehicle energy consumption assessment on the vehicle's state. Only when the vehicle is in a suitable state can the assessment obtain true and reliable energy consumption data. By setting function enable conditions, the step of sampling to obtain at least two candidate operating points is performed only when these conditions are met, laying the foundation for accurate assessment of vehicle energy consumption and further improving the accuracy of determining low-energy-consumption engine operating points.

[0105] Figure 6 This is a schematic diagram of the structure of a hybrid vehicle energy consumption strategy determination device provided in an embodiment of this disclosure. Figure 6 As shown, the hybrid vehicle energy consumption strategy determination device 600 includes: a sampling module 610, a determination module 620, and a control module 630. The sampling module 610 is used to sample the target vehicle's preset engine performance model based on a reference operating point to obtain at least two candidate operating points, which characterize the engine's performance parameters. The determination module 620 is used to determine the vehicle energy consumption corresponding to the at least two candidate operating points based on the at least two candidate operating points and the vehicle's power battery output power. The control module 630 is used to control the target vehicle's engine operation based on the target operating point among the at least two candidate operating points, where the vehicle energy consumption corresponding to the target operating point is the lowest.

[0106] Optionally, candidate operating points include candidate engine speed and candidate engine torque, and reference operating points include reference engine speed and reference engine torque. The sampling module 610 includes: a first sampling unit, used to sample on a preset engine performance model based on a preset torque unit change amount when the target vehicle's power mode is direct drive mode, using the reference operating points as a reference, to obtain at least two candidate operating points; and a second sampling unit, used to determine a reference engine output power based on the reference engine speed and reference engine torque when the target vehicle's power mode is series mode, determine at least two candidate engine output powers based on the reference engine output power and a preset engine output power unit change amount, and sample on a preset engine performance model based on the at least two candidate engine output powers to obtain at least two candidate operating points.

[0107] Optionally, the determining module 620 includes: a first determining unit, configured to determine the engine energy consumption corresponding to at least two candidate operating conditions based on at least two candidate operating conditions and a first adjustment parameter, wherein the first adjustment parameter is used to perform equivalent adjustment on the engine energy consumption; a second determining unit, configured to determine the power battery energy consumption corresponding to at least two candidate operating conditions based on at least two candidate operating conditions, battery output power, and a second adjustment parameter, wherein the second adjustment parameter is used to perform equivalent adjustment on the power battery energy consumption; and a third determining unit, configured to determine the vehicle energy consumption corresponding to at least two candidate operating conditions based on the engine energy consumption corresponding to at least two candidate operating conditions and the power battery energy consumption corresponding to at least two candidate operating conditions.

[0108] Optionally, the first adjustment parameter is the fuel injection quantity correction coefficient, and the first determining unit is specifically used to: determine the engine basic fuel injection quantity corresponding to at least two candidate operating points based on the correspondence between engine intake air temperature, candidate operating points and engine instantaneous fuel injection quantity; and determine the engine energy consumption corresponding to at least two candidate operating points based on the engine basic fuel injection quantity corresponding to at least two candidate operating points, the first adjustment parameter and the preset fuel calorific value.

[0109] Optionally, the second determining unit is specifically used for: calculating the engine output power change corresponding to at least two candidate operating points based on a reference operating point and at least two candidate operating points, wherein the engine output power change is the difference between the engine output power corresponding to the candidate operating point and the reference operating point; determining the motor efficiency corresponding to at least two candidate operating points based on the actual speed of the motor in the target vehicle, the actual torque of the motor, and the speed difference between the candidate engine speed in the at least two candidate operating points and the reference engine speed in the reference operating point; determining the battery equivalent power corresponding to at least two candidate operating points based on the battery output power, the engine output power change corresponding to at least two candidate operating points, and the motor efficiency corresponding to at least two candidate operating points; and determining the power battery energy consumption corresponding to at least two candidate operating points based on the battery equivalent power corresponding to at least two candidate operating points and the second adjustment parameter.

[0110] Optionally, the second adjustment parameter includes a power correction coefficient and a penalty coefficient for further correcting the power correction coefficient. The second determining unit is further configured to: determine the power correction coefficient based on the power difference between the expected and actual remaining power of the vehicle's power battery, a first correction factor, and a second correction factor, wherein the first correction factor characterizes the influence of ambient temperature on the remaining battery power, and the second correction factor characterizes the influence of the current vehicle speed on the remaining battery power; determine the penalty coefficient based on the power difference between the expected and actual remaining power of the vehicle's power battery and the available range of the remaining battery power; and determine the power battery energy consumption corresponding to at least two candidate operating conditions based on the battery equivalent power, the power correction coefficient, and the penalty coefficient corresponding to at least two candidate operating conditions.

[0111] Optionally, the hybrid vehicle energy consumption strategy determination device 600 further includes: a rejection module, used to reject the first candidate operating point from the at least two candidate operating points if the first candidate operating point in the at least two candidate operating points meets the target conditions, so that the at least two candidate operating points do not contain the first candidate operating point; the target conditions include: the first candidate engine speed and the first candidate engine torque in the first candidate operating point exceed the engine external characteristic curve of the target vehicle, the engine external characteristic curve is the curve of engine speed changing with engine torque when the engine is under full load; the equivalent torque of the motor in the target vehicle is greater than the rated torque of the motor, the equivalent torque of the motor is determined based on the speed difference between the first candidate engine speed and the reference engine speed in the reference operating point and the actual torque of the motor; the equivalent power of the battery corresponding to the first candidate operating point is greater than the peak power of the battery.

[0112] Optionally, the sampling module 610 is specifically used to perform a step of sampling on the preset engine performance model of the target vehicle based on the reference operating point to obtain at least two candidate operating points in response to the vehicle state of the target vehicle meeting the preset function enabling conditions. The function enabling conditions include at least one of the following: the power mode is series mode or direct drive mode, the current vehicle speed belongs to the preset vehicle speed range, and the gear is automatic gear.

[0113] The hybrid vehicle energy consumption strategy determination device provided in this embodiment can execute the method of any of the above embodiments, and its execution method and beneficial effects are similar, so they will not be described again here.

[0114] Figure 7 This is a schematic diagram of the structure of a computer device provided in an embodiment of this disclosure.

[0115] like Figure 7 As shown, the computer device may include a processor 710 and a memory 720 storing computer program instructions.

[0116] Specifically, the processor 710 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this disclosure.

[0117] Memory 720 may include a large-capacity storage for information or instructions. For example, and not limitingly, memory 720 may include a hard disk drive (HDD), a floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or a Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 720 may include removable or non-removable (or fixed) media. Where appropriate, memory 720 may be internal or external to the integrated gateway device. In a particular embodiment, memory 720 is a non-volatile solid-state memory. In a particular embodiment, memory 720 includes read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (Electrically Programmable ROM, EPROM), an electrically erasable programmable PROM (EEPROM), an electrically alterable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0118] The processor 710 reads and executes computer program instructions stored in the memory 720 to perform the steps of the hybrid vehicle energy consumption strategy determination method provided in the embodiments of this disclosure.

[0119] In one example, the computer device may also include a transceiver 730 and a bus 740. Wherein, as... Figure 7 As shown, the processor 710, memory 720 and transceiver 730 are connected via bus 740 and communicate with each other.

[0120] Bus 740 may include hardware, software, or both. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or a combination of two or more of these. Where appropriate, bus 740 may include one or more buses. Although specific buses are described and illustrated in the embodiments of this disclosure, this disclosure contemplates any suitable bus or interconnect.

[0121] This disclosure also provides a computer-readable storage medium that can store a computer program. When the computer program is executed by a processor, the processor implements the hybrid vehicle energy consumption strategy determination method provided in this disclosure.

[0122] The aforementioned storage medium may, for example, include a memory 720 containing computer program instructions, which can be executed by the processor 710 of the hybrid vehicle energy consumption strategy determination device to complete the hybrid vehicle energy consumption strategy determination method provided in this embodiment. Optionally, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), compact disc ROM (CD-ROM), magnetic tape, floppy disk, and optical data storage device. The aforementioned computer program may be written in any combination of one or more programming languages ​​to perform the operations of this embodiment, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code may be executed entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0123] This disclosure also provides a vehicle that includes computer equipment, which can implement the various processes and effects described in the above embodiments of this disclosure, and will not be elaborated here.

[0124] This disclosure also provides a computer program product, which includes a computer program or instructions. When the computer program or instructions are executed by a processor, they implement the hybrid vehicle energy consumption strategy determination method provided in this disclosure, and can achieve the various processes and effects in the above embodiments of this disclosure, which will not be elaborated here.

[0125] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0126] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A hybrid vehicle energy consumption strategy determination method characterized by, The method is applicable to a hybrid vehicle, and the method includes: Using a reference operating point as a benchmark, sampling is performed on the preset engine performance model of the target vehicle to obtain at least two candidate operating points, which are used to characterize the engine's performance parameters. Based on the at least two candidate operating conditions and the battery output power of the vehicle's power battery, determine the vehicle energy consumption corresponding to the at least two candidate operating conditions respectively. The engine of the target vehicle is controlled based on the target operating point among the at least two candidate operating points, and the overall vehicle energy consumption is lowest at the target operating point.

2. The method according to claim 1, characterized in that, The candidate operating points include candidate engine speeds and candidate engine torques, and the reference operating points include reference engine speeds and reference engine torques. Sampling is performed on a preset engine performance model of the target vehicle using the reference operating points as a benchmark to obtain at least two candidate operating points, including: When the target vehicle's power mode is direct drive mode, the reference operating point is used as a benchmark, and the preset engine performance model is sampled based on the preset torque unit change to obtain the at least two candidate operating points. When the target vehicle's power mode is in series mode, the reference engine output power is determined based on the reference engine speed and the reference engine torque. Based on the reference engine output power and a preset unit change in engine output power, at least two candidate engine output powers are determined. The at least two candidate engine output powers are then sampled on the preset engine performance model to obtain the at least two candidate operating points.

3. The method according to claim 1, characterized in that, The determination of the vehicle energy consumption corresponding to each of the at least two candidate operating conditions based on the at least two candidate operating conditions and the battery output power of the vehicle's power battery includes: Based on the at least two candidate operating points and the first adjustment parameter, the engine energy consumption corresponding to the at least two candidate operating points is determined, and the first adjustment parameter is used to make an equivalent adjustment to the engine energy consumption. Based on the at least two candidate operating conditions, the battery output power, and the second adjustment parameter, the power battery energy consumption corresponding to the at least two candidate operating conditions is determined, and the second adjustment parameter is used to make an equivalent adjustment to the power battery energy consumption. Based on the engine energy consumption corresponding to the at least two candidate operating conditions and the power battery energy consumption corresponding to the at least two candidate operating conditions, the vehicle energy consumption corresponding to the at least two candidate operating conditions is determined.

4. The method according to claim 3, characterized in that, The first adjustment parameter is a fuel injection quantity correction coefficient. The step of determining the engine energy consumption corresponding to each of the at least two candidate operating conditions based on the at least two candidate operating conditions and the first adjustment parameter includes: Based on the correspondence between engine intake air temperature, candidate operating points and engine instantaneous fuel injection quantity, determine the engine base fuel injection quantity corresponding to the at least two candidate operating points respectively; Based on the engine base fuel injection quantity corresponding to the at least two candidate operating conditions, the first adjustment parameter, and the preset fuel calorific value, the engine energy consumption corresponding to the at least two candidate operating conditions is determined.

5. The method according to claim 3, characterized in that, The step of determining the power battery energy consumption corresponding to the at least two candidate operating conditions based on the at least two candidate operating conditions, the battery output power, and the second adjustment parameter includes: Based on the reference operating point and the at least two candidate operating points, calculate the change in engine output power corresponding to the at least two candidate operating points respectively, whereby the change in engine output power is the difference between the engine output power corresponding to the candidate operating point and the reference operating point. Based on the actual speed and actual torque of the motor in the target vehicle, and the speed difference between the candidate engine speed at the at least two candidate operating points and the reference engine speed at the reference operating point, the motor efficiency corresponding to the at least two candidate operating points is determined. Based on the battery output power, the engine output power change corresponding to the at least two candidate operating points, and the motor efficiency corresponding to the at least two candidate operating points, the battery equivalent power corresponding to the at least two candidate operating points is determined. Based on the battery equivalent power corresponding to the at least two candidate operating conditions and the second adjustment parameter, the power battery energy consumption corresponding to the at least two candidate operating conditions is determined.

6. The method according to claim 5, characterized in that, The second adjustment parameter includes a power correction coefficient and a penalty coefficient for further adjusting the power correction coefficient. The step of determining the power battery energy consumption corresponding to the at least two candidate operating conditions based on the battery equivalent power corresponding to the at least two candidate operating conditions and the second adjustment parameter includes: Based on the difference between the expected remaining charge and the actual remaining charge of the vehicle's power battery, a first correction factor, and a second correction factor, the charge correction coefficient is determined. The first correction factor is used to characterize the degree of influence of ambient temperature on the remaining charge of the battery, and the second correction factor is used to characterize the degree of influence of the current vehicle speed on the remaining charge of the battery. The penalty coefficient is determined based on the difference between the expected and actual remaining charge of the vehicle's power battery and the available range of the remaining battery charge. Based on the battery equivalent power corresponding to the at least two candidate operating conditions, the power correction coefficient, and the penalty coefficient, the power battery energy consumption corresponding to the at least two candidate operating conditions is determined.

7. The method according to claim 5, characterized in that, Before controlling the engine operation of the target vehicle based on the target operating point among the at least two candidate operating points, the method further includes: If the first candidate operating point among the at least two candidate operating points meets the target condition, the first candidate operating point is removed from the at least two candidate operating points so that the at least two candidate operating points do not contain the first candidate operating point. The target conditions include: The first candidate engine speed and the first candidate engine torque in the first candidate operating condition point exceed the engine external characteristic curve of the target vehicle. The engine external characteristic curve is the curve of engine speed changing with engine torque when the engine is under full load. And / or, The equivalent torque of the motor in the target vehicle is greater than the rated torque of the motor. The equivalent torque of the motor is determined based on the speed difference between the first candidate engine speed and the reference engine speed in the reference operating point, as well as the actual torque of the motor. And / or: The battery equivalent power corresponding to the first candidate operating condition is greater than the battery peak power.

8. The method according to claim 1, characterized in that, The sampling is performed on the preset engine performance model of the target vehicle based on the reference operating point to obtain at least two candidate operating points, including: In response to the target vehicle's vehicle state meeting preset function enabling conditions, a step is performed to sample the target vehicle's preset engine performance model based on a reference operating point to obtain at least two candidate operating points. The function enabling conditions include at least one of the following: the power mode is series mode or direct drive mode, the current vehicle speed belongs to a preset vehicle speed range, and the gear is automatic.

9. A computer device, characterized in that, include: Memory; processor; And a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor to implement the hybrid vehicle energy consumption strategy determination method as described in any one of claims 1-8.

10. A vehicle, characterized in that, Includes the computer device as described in claim 9.

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