Power generation efficiency optimization method, device and driving control method for hybrid vehicle models

Abstract

One or more embodiments of this specification provide a method for optimizing the power generation efficiency of a hybrid vehicle. The method for optimizing the power generation efficiency of the hybrid vehicle includes: obtaining multiple sets of coolant temperature groups; obtaining the power values at each preset point under non-warm-up conditions; and generating a corresponding engine operating condition database under non-warm-up conditions for each set of coolant temperature groups according to the power values at the preset points under each non-warm-up condition. Each of the engine operating condition databases includes the power values at the preset points under each non-warm-up condition and the optimal operating conditions of the power values at the preset points under each non-warm-up condition. The method for optimizing the power generation efficiency of the hybrid vehicle provided by the embodiments of this specification generates an engine operating condition database based on different multiple sets of coolant temperatures, so that the vehicle can automatically select the optimal engine operating condition when operating at different temperatures, avoiding the decrease in engine efficiency caused by temperature changes.

Description

Technical Field

[0001] One or more embodiments of this specification relate to the technical field, and in particular to a method for optimizing the power generation efficiency of a hybrid vehicle, a device, and a method for controlling the driving of a hybrid vehicle. Background Art

[0002] In series hybrid and parallel hybrid vehicles, the engine drives the generator to generate electricity, which generates electrical energy. The driving motor converts the electrical energy into kinetic energy and outputs it, ultimately driving the vehicle to move. In this case, the engine selects the most economical operating point for power generation according to different power generation powers, thereby improving the overall vehicle efficiency and reducing the overall vehicle fuel consumption. The traditional method is to preset the operating point with the best efficiency in the vehicle control unit according to the efficiency of the power generation system composed of the engine and the generator under different operating conditions.

[0003] However, due to different engine coolant temperatures and motor coolant temperatures, the efficiencies of the engine and the generator both change. Therefore, the optimal operating points of the power generation system composed of the generator and the engine are different under different temperature conditions. Summary of the Invention

[0004] In view of this, the purpose of one or more embodiments of this specification is to propose a method for optimizing the power generation efficiency of a hybrid vehicle to solve the problem of low power generation efficiency under different engine coolant temperatures and generator coolant temperatures.

[0005] Based on the above purpose, one or more embodiments of this specification provide a method for optimizing the power generation efficiency of a hybrid vehicle, and the method for optimizing the power generation efficiency of the hybrid vehicle includes:

[0006] Obtain multiple groups of coolant temperature groups;

[0007] Obtain the power values of each preset point under non-warm-up conditions;

[0008] According to the power values of each preset point under non-warm-up conditions, generate a corresponding engine operating condition database under non-warm-up conditions for each group of coolant temperature groups. Each of the engine operating condition databases includes the power values of each preset point under non-warm-up conditions and the optimal operating conditions of the power values of each preset point under non-warm-up conditions.

[0009] Optionally, the generating a corresponding engine operating condition database under non-warm-up conditions for each group of coolant temperature groups includes:

[0010] Generate multiple pieces of operating condition information corresponding to the power values of each preset point under non-warm-up conditions for the power values of each preset point under non-warm-up conditions;

[0011] Obtain the total efficiency of each piece of operating condition information according to each piece of operating condition information;

[0012] Obtain the operating condition information with the highest overall efficiency among the operating condition information corresponding to the preset point power values under the same non-warm-up operating condition as the optimal operating condition of the preset point power value under this non-warm-up operating condition.

[0013] Optionally, the power generation efficiency optimization method for the hybrid vehicle model further includes:

[0014] Obtain the non-preset point power values under each non-warm-up operating condition;

[0015] According to the optimal operating conditions of the preset point power values under each obtained non-warm-up operating condition, obtain the optimal operating conditions of the non-preset point power values under each non-warm-up operating condition through linear interpolation; where

[0016] The non-preset point power values under each non-warm-up operating condition, the optimal operating conditions of the non-preset point power values under each non-warm-up operating condition, the preset point power values under each non-warm-up operating condition, and the optimal operating conditions of the preset point power values under the non-warm-up operating condition form the engine operating condition database under the non-warm-up operating condition corresponding to this set of coolant temperatures.

[0017] Optionally, each group of the coolant temperature groups includes the engine liquid cooling temperature and the generator coolant temperature.

[0018] Optionally, the power generation efficiency optimization method for the hybrid vehicle model further includes:

[0019] Obtain the preset point power values under the warm-up operating condition;

[0020] According to the preset point power values under each warm-up operating condition, generate an engine operating condition database corresponding to the warm-up operating condition for each group of coolant temperature groups. Each engine operating condition database under the warm-up operating condition includes the preset point power values under each warm-up operating condition and the optimal operating conditions of the preset point power values under each warm-up operating condition.

[0021] Optionally, the operating condition information includes the engine torque and the engine speed.

[0022] One or more embodiments of this specification also provide a power generation efficiency optimization device for a hybrid vehicle model. The power generation efficiency optimization device for the hybrid vehicle model includes:

[0023] A coolant temperature group acquisition module, which is used to acquire multiple groups of coolant temperature groups;

[0024] A preset point power value acquisition module, which is used to acquire the preset point power values under the non-warm-up operating condition;

[0025] An engine operating condition database generation module, which is used to generate a corresponding engine operating condition database under non-warm-up conditions for each set of coolant temperature groups according to the preset point power values under each non-warm-up condition. Each of the engine operating condition databases includes the preset point power values under each non-warm-up condition and the optimal operating conditions of the preset point power values under each non-warm-up condition.

[0026] One or more embodiments of this specification provide a driving control method for a hybrid vehicle. The driving control method for the hybrid vehicle is used to control the vehicle to drive through the engine operating condition database obtained by the engine power generation efficiency optimization method described in any one of the above.

[0027] Optionally, the driving control method for the hybrid vehicle further includes:

[0028] During driving, obtain the vehicle driving speed;

[0029] Judge whether the vehicle driving speed is lower than the preset vehicle speed. If so, then

[0030] Obtain the current operating condition information to be used according to the engine operating condition database under the non-warm-up condition or the engine operating condition database under the warm-up condition;

[0031] Judge whether the engine speed in the operating condition information to be used is lower than the preset speed value. If not, then

[0032] Obtain the preset engine speed and the engine torque corresponding to the preset engine speed.

[0033] Optionally, it is characterized in that the driving control method for the hybrid vehicle further includes:

[0034] During driving, obtain the engine operating condition database;

[0035] Obtain the comprehensive efficiency of the optimal operating condition of the preset point power value;

[0036] Obtain other operating condition data whose difference from the comprehensive efficiency of the optimal operating condition of the preset point power value is less than the threshold;

[0037] Obtain the engine speed with the lowest engine speed and the corresponding engine torque among the above operating condition data.

[0038] As can be seen from the above, the power generation efficiency optimization method for hybrid vehicle models provided by one or more embodiments of this specification generates an engine operating condition database based on different multiple sets of coolant temperatures, so that the vehicle can automatically select the optimal engine operating condition when running at different temperatures, avoiding the decrease in engine efficiency caused by temperature changes. Based on further judgment of vehicle speed and engine efficiency, the engine speed is adjusted, which can effectively reduce noise and improve the riding comfort of passengers. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in one or more embodiments of this specification or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only one or more embodiments of this specification. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0040] Figure 1 It is a schematic flowchart of the power generation efficiency optimization method for hybrid vehicle models provided by one or more embodiments of this specification;

[0041] Figure 2 It is a schematic structural diagram of an electronic device capable of implementing the power generation efficiency optimization method for hybrid vehicle models of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] To make the objectives, technical solutions, and advantages of this disclosure more clear, the following further elaborates on this disclosure in detail with reference to specific embodiments and the accompanying drawings.

[0043] It should be noted that unless otherwise defined, the technical terms or scientific terms used in one or more embodiments of this specification should have the ordinary meaning understood by those of ordinary skill in the art belonging to the field of this disclosure. The "first", "second", and similar terms used in one or more embodiments of this specification do not indicate any order, quantity, or importance, but are only used to distinguish different components. The terms such as "including" or "comprising" mean that the elements or objects appearing before this word cover the elements or objects listed after this word and their equivalents, without excluding other elements or objects. The terms such as "connected" or "coupled" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The terms such as "above", "below", "left", and "right" are only used to represent relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0044] Figure 1Schematic flowchart of the power generation efficiency optimization method for a hybrid vehicle provided by one or more embodiments of this specification.

[0045] As Figure 1 shown, this embodiment provides a power generation efficiency optimization method for a hybrid vehicle. The power generation efficiency optimization method for a hybrid vehicle includes:

[0046] Obtain multiple sets of coolant temperature groups;

[0047] Obtain the power values at each preset point under non-warm-up conditions;

[0048] According to the power values at the preset points under each non-warm-up condition, generate a corresponding engine operating condition database under non-warm-up conditions for each set of coolant temperature groups. Each engine operating condition database includes the power values at the preset points under each non-warm-up condition and the optimal operating condition of the power values at the preset points under each non-warm-up condition.

[0049] The power generation efficiency optimization method for a hybrid vehicle provided by this embodiment generates an engine operating condition database based on different multiple sets of coolant temperatures, so that the vehicle can automatically select the optimal engine operating condition when operating at different temperatures, avoiding the decrease in engine efficiency caused by temperature changes.

[0050] In one embodiment, the operating condition information includes engine torque and engine speed.

[0051] In one embodiment, generating a corresponding engine operating condition database under non-warm-up conditions for each set of coolant temperature groups includes:

[0052] Generate multiple pieces of operating condition information corresponding to the power values at the preset points under each non-warm-up condition for the power values at the preset points under each non-warm-up condition;

[0053] Obtain the total efficiency of each piece of operating condition information according to each piece of operating condition information;

[0054] Obtain the piece of operating condition information with the highest total efficiency among the pieces of operating condition information corresponding to the power values at the preset points under the same non-warm-up condition as the optimal operating condition of the power values at the preset points under the non-warm-up condition.

[0055] For example, when the coolant temperature group is zero degrees, the operating condition information of the power values at the preset points is shown in the following table. Here, the power values at the preset points of 10KW and 20KW are used as examples. It can be known that the following data exists at 30kw, 40kw, 50kw, 60kw, 70kw, 80kw, 90kw, 100kw, and 110kw.

[0056]

[0057]

[0058]

[0059] In one embodiment, the method for optimizing the power generation efficiency of a hybrid vehicle model further includes:

[0060] Obtain the non - preset point power values under each non - warm - up condition;

[0061] According to the optimal conditions of the preset point power values under each obtained non - warm - up condition, obtain the optimal conditions of the non - preset point power values under each non - warm - up condition through linear interpolation; where

[0062] The non - preset point power values under each non - warm - up condition, the optimal conditions of the non - preset point power values under each non - warm - up condition, the preset point power values under each non - warm - up condition, and the optimal conditions of the preset point power values under the non - warm - up condition constitute the engine condition database under the non - warm - up condition corresponding to this set of coolant temperatures.

[0063] In one embodiment, each group of coolant temperature groups includes the engine liquid cooling temperature and the generator coolant temperature.

[0064] For example, the temperature can be divided into the following cases as shown in the table below.

[0065]

[0066]

[0067] In one embodiment, the method for optimizing the power generation efficiency of a hybrid vehicle model further includes:

[0068] Obtain the preset point power values under the warm - up condition;

[0069] According to the preset point power values under each warm - up condition, generate an engine condition database corresponding to each group of coolant temperature groups under the warm - up condition. Each engine condition database under the warm - up condition includes the preset point power values under each warm - up condition and the optimal conditions of the preset point power values under each warm - up condition.

[0070] In the warm - up condition, methods such as increasing the engine power and retarding the ignition angle are usually adopted to quickly increase the engine water temperature and exhaust temperature. Therefore, when the engine is in the warm - up condition, its efficiency is not the same as that in the non - warm - up condition. Therefore, efficiency points are preset separately for the warm - up condition. When the engine enters the warm - up condition, it operates according to the warm - up efficiency map. An example of the engine warm - up condition efficiency is as follows, and the warm - up condition power generation power can be preset according to requirements.

[0071]

[0072]

[0073] An embodiment of the present application further provides a driving control method for a hybrid vehicle model. The driving control method for the hybrid vehicle model is used to control the vehicle driving through the engine operating condition database obtained by the engine power generation efficiency optimization method of any one of the above.

[0074] In one embodiment, the driving control method for the hybrid vehicle model further includes:

[0075] During driving, obtain the vehicle driving speed;

[0076] Judge whether the vehicle driving speed is lower than the preset vehicle speed. If so, then

[0077] Obtain the current working condition information to be used according to the engine operating condition database under non-warming-up conditions or the engine operating condition database under warming-up conditions;

[0078] Judge whether the engine speed in the working condition information to be used is lower than the preset speed value. If not, then

[0079] Obtain the preset engine speed and the engine torque corresponding to the preset engine speed.

[0080] The preset vehicle speed can be preset according to different vehicles. It can be known that at different vehicle speeds, the occupants' perception of the engine noise is different. By setting the preset vehicle speed, controlling the engine speed when the actual vehicle speed is less than the preset vehicle speed can effectively reduce the occupants' perception of the engine noise and improve the riding experience. Generally, it can be set to 20 kilometers per hour. Of course, a noise control option can also be set in the vehicle, which can be set by the driver himself.

[0081] In one embodiment, the driving control method for the hybrid vehicle model further includes:

[0082] During driving, obtain the engine operating condition database;

[0083] Obtain the comprehensive efficiency of the optimal working condition of the preset point power value;

[0084] Obtain other working condition data whose difference from the comprehensive efficiency of the optimal working condition of the preset point power value is less than the threshold;

[0085] Obtain the engine speed with the lowest engine speed and the corresponding engine torque among the above-mentioned working condition data.

[0086] It can be known that the threshold can be set or adjusted according to different situations. Preferably, it can be set to 0.5%.

[0087] Reducing the rotational speed while ensuring efficiency can effectively reduce noise and enhance the riding experience of passengers.

[0088] The driving control method for a hybrid vehicle provided by an embodiment of the present application has the following advantages:

[0089] 1. Under different engine and generator coolant water temperatures, intelligently select different operating conditions to achieve the best power generation efficiency under different temperature conditions.

[0090] 2. Considering the noise sensitivity of the driver at different vehicle speeds, classify and control the engine power generation conditions to balance noise and efficiency.

[0091] 3. Combine the coolant water temperatures of the engine and the generator in different ways to classify temperature conditions.

[0092] 4. Maintain the highest power generation efficiency during the warm-up condition.

[0093] The following further elaborates on the present application by way of examples. It should be understood that these examples do not constitute any limitation to the present application.

[0094] Obtain multiple groups of coolant temperature sets. For example, obtain Case 1 and Case 2 in the above table;

[0095] Obtain the power values at each preset point under non-warm-up conditions. Specifically, as shown in the above table, the power values at each preset point corresponding to Case 1 are 10KW and 20KW respectively;

[0096] Generate multiple sets of operating condition information corresponding to the power values at each preset point under non-warm-up conditions for each power value at a preset point under non-warm-up conditions; for example, as shown in the above table in the operating condition database, when the temperature belongs to Case 1 and the engine required power is 10KW, divide it into several gears according to the engine speed, such as 1000, 1500, 2000, 2500, 3000, 3500, 4000, 4500, 5000, etc. Each gear corresponds to a set of engine torque, engine efficiency, generator efficiency, total efficiency, etc. Similarly, there are such data for 20KW, 30KW, 40KW, 50KW, 60KW, 70KW, 80KW, 90KW, 100KW, 110KW.

[0097] Obtain the total efficiency of each set of operating condition information according to each set of operating condition information; specifically, as shown in the above table, the total efficiency at each engine speed is the product of the engine efficiency and the generator efficiency.

[0098] Obtain the operating condition information with the highest overall efficiency among the various operating condition information corresponding to the preset point power value under the same non-warm-up operating condition as the optimal operating condition of the preset point power value under this non-warm-up operating condition; specifically, as shown in the above table, at 10 KW, compare the overall efficiencies at different speeds and torques, and select the speed and torque information with the highest overall efficiency as the optimal operating condition. For example, if a1 is 35%, b1 is 40%, c1 is 14%, a2 is 40%, b2 is 38%, c2 is 15.2%, the same applies to other operating conditions.

[0099] Obtain the non-preset point power values under each non-warm-up operating condition; it can be preset according to different engines, generators, and vehicle power demands. For example, taking 1 KW as the minimum span, it can be divided into 11 KW, 12 KW, 13 KW, 14 KW, 15 KW, 16 KW, 17 KW, 18 KW, 19 KW, etc.; of course, other methods can also be used to set the span. For example, taking 2 KW as the minimum span, it can be divided into 12 KW, 14 KW, 16 KW, 18 KW, etc.

[0100] According to the optimal operating conditions of the preset point power values under each obtained non-warm-up operating condition, obtain the optimal operating conditions of the non-preset point power values under each non-warm-up operating condition through linear interpolation.

[0101] Assume that at 10 KW, the optimal operating condition is 2000 revolutions per minute, and at 20 KW, the optimal operating condition is 3000 revolutions per minute. The non-preset point is 15 KW. Then, the formula for calculating the non-preset point speed X is (X - 2000) / (3000 - 2000) = (15 - 10) / (20 - 10), and X is obtained as 2500 revolutions per minute. Then, at the non-preset point of 25 KW, the optimal operating condition is 2500 revolutions per minute.

[0102] It can be known that the non-preset point power values under each non-warm-up operating condition, the optimal operating conditions of the non-preset point power values under each non-warm-up operating condition, as well as the preset point power values under each non-warm-up operating condition and the optimal operating conditions of the preset point power values under the non-warm-up operating condition form the engine operating condition database under the non-warm-up operating condition corresponding to this set of coolant temperatures.

[0103] Similarly, in Case 2, the optimal operating condition can be obtained for each preset point power value. In addition, the optimal operating condition of the non-preset point power value can be obtained through each optimal operating condition. Thus, the engine operating condition database required for Case 2 is formed based on the optimal operating conditions obtained for each preset point power value and the optimal operating conditions of the non-preset point power value obtained.

[0104] Obtain the various preset point power values under the warm-up operating condition.

[0105] According to the preset point power values under each warm-up condition, an engine condition database corresponding to each warm-up condition is generated for each group of coolant temperature groups. The engine condition database under each warm-up condition includes the preset point power values under each warm-up condition and the optimal conditions of the preset point power values under each warm-up condition.

[0106] In warm-up conditions, methods such as increasing the engine power and delaying the ignition angle are usually adopted to quickly increase the engine water temperature and exhaust temperature. Therefore, the efficiency of warm-up conditions is inconsistent with that of non-warm-up conditions, so separate presets are required. The preset method is the same as that of non-warm-up conditions and will not be elaborated here.

[0107] During vehicle driving, the vehicle is controlled using the obtained engine condition database. For example, if the current temperature is in situation 1 and the power demand for power generation is 10 KW, then according to the data in the above table, the engine speed and engine torque of the optimal condition are determined.

[0108] During driving, obtain the vehicle driving speed;

[0109] Judge whether the vehicle driving speed is lower than the preset vehicle speed. If so, then

[0110] Obtain the working condition information to be used currently according to the engine condition database under non-warm-up conditions or the engine condition database under warm-up conditions;

[0111] Judge whether the engine speed in the working condition information to be used is lower than the preset speed value. If not, then obtain the preset engine speed and the engine torque corresponding to the preset engine speed.

[0112] For example, if the current vehicle speed is 18 km / h and the preset vehicle speed is 20 km / h, then at this time the vehicle driving speed is lower than the preset vehicle speed. At this time, the engine speed is 1800 revolutions, and the preset value is 1500 revolutions. It is judged that the engine speed is not less than the preset speed at this time. At this time, obtain the preset speed of 1500 revolutions and the corresponding torque to control the vehicle.

[0113] Furthermore, during driving, obtain the engine condition database;

[0114] Obtain the comprehensive efficiency of the optimal condition of the preset point power value;

[0115] Obtain other working condition data whose difference from the comprehensive efficiency of the optimal condition of the preset point power value is less than the threshold;

[0116] Obtain the engine speed with the lowest engine speed and the corresponding engine torque among the above working condition data.

[0117] For example, the threshold is 0.5%; when the power demand for power generation is 20KW, the optimal working condition is 2,500 revolutions, and the comprehensive efficiency is 75%. At this time, in the engine working condition database, for other working conditions with a power demand for power generation of 20KW and a comprehensive efficiency greater than 74.5%, the engine speed is 2,000 revolutions, the engine torque is 95.5, and the comprehensive efficiency is 74.55%; the engine speed is 2,300 revolutions, the engine torque is 90.5, and the comprehensive efficiency is 74.58%; select the engine speed of 2,000 revolutions and the corresponding engine torque to control the vehicle to travel.

[0118] It should be noted that the method of one or more embodiments of this specification can be executed by a single device, such as a computer or a server. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In this case of a distributed scenario, one of the multiple devices can only execute one or more steps of the method of one or more embodiments of this specification, and these multiple devices will interact with each other to complete the described method.

[0119] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0120] An embodiment of the present application further provides a device for optimizing the power generation efficiency of a hybrid vehicle model. The device for optimizing the power generation efficiency of a hybrid vehicle model includes:

[0121] A coolant temperature group acquisition module, which is used to acquire multiple groups of coolant temperature groups;

[0122] A preset point power value acquisition module, which is used to acquire each preset point power value under non-warm-up conditions;

[0123] An engine working condition database generation module, which is used to generate a corresponding engine working condition database under non-warm-up conditions for each group of coolant temperature groups according to each preset point power value under non-warm-up conditions. Each engine working condition database includes each preset point power value under non-warm-up conditions and the optimal working condition of each preset point power value under non-warm-up conditions.

[0124] For convenience of description, when describing the above device, it is divided into various modules according to functions and described separately. Of course, when implementing one or more embodiments of this specification, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0125] The device of the above embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be elaborated here.

[0126] Figure 2 The structural schematic diagram of the electronic device that can implement the power generation efficiency optimization method of the hybrid vehicle type of the present application provided by one or more embodiments of this specification. The device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. Among them, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are communicatively connected to each other inside the device through the bus 1050.

[0127] The processor 1010 can be implemented in the form of a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is used to execute relevant programs to implement the technical solutions provided by the embodiments of this specification.

[0128] The memory 1020 can be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, etc. The memory 1020 can store an operating system and other application programs. When implementing the technical solutions provided by the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0129] The input / output interface 1030 is used to connect to the input / output module to implement information input and output. The input / output module can be configured as a component in the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Among them, the input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0130] The communication interface 1040 is used to connect a communication module (not shown in the figure) to achieve communication interaction between this device and other devices. The communication module can communicate through a wired method (such as USB, network cable, etc.) or through a wireless method (such as mobile network, WIFI, Bluetooth, etc.).

[0131] The bus 1050 includes a path for transmitting information between various components of the device (such as the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0132] It should be noted that although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040, and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, those skilled in the art can understand that the above device may also only include the components necessary to implement the solution of the embodiments of this specification, and does not necessarily include all the components shown in the figure.

[0133] This application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it can implement the power generation efficiency optimization method as described above.

[0134] This application also provides another computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it can implement the driving control method of the hybrid vehicle model as described above.

[0135] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be achieved by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device.

[0136] Those of ordinary skill in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples; under the concept of the present disclosure, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations in different aspects of one or more embodiments of the present specification as described above, and they are not provided in detail for the sake of brevity.

[0137] In addition, for the sake of simplicity of explanation and discussion, and in order not to make one or more embodiments of this specification difficult to understand, the well-known power / ground connections to integrated circuit (IC) chips and other components may or may not be shown in the provided drawings. In addition, the devices may be shown in block diagram form in order to avoid making one or more embodiments of this specification difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which one or more embodiments of this specification are to be implemented (i.e., these details should be fully within the understanding of those skilled in the art). In the case where specific details (such as circuits) are set forth to describe the exemplary embodiments of the present disclosure, it will be apparent to those skilled in the art that one or more embodiments of this specification can be implemented without these specific details or with variations of these specific details. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0138] Although the present disclosure has been described in connection with specific embodiments of the present disclosure, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art based on the foregoing description. For example, other memory architectures (such as dynamic RAM (DRAM)) may be used with the embodiments discussed.

[0139] One or more embodiments of this specification are intended to cover all such alternatives, modifications, and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of this specification shall be included within the protection scope of the present disclosure.

Claims

1. A method for optimizing the power generation efficiency of a hybrid vehicle model, characterized in that The method for optimizing the power generation efficiency of the hybrid vehicle model includes: Obtain multiple sets of coolant temperature groups; Obtain the power values at each preset point under non-warm-up conditions; According to the power values at the preset points under each non-warm-up condition, generate an engine operating condition database corresponding to each set of coolant temperature groups under non-warm-up conditions, and each of the engine operating condition databases includes the power values at the preset points under each non-warm-up condition and the optimal operating conditions of the power values at the preset points under each non-warm-up condition; The step of generating an engine operating condition database corresponding to each set of coolant temperature groups under non-warm-up conditions includes: Generate multiple sets of operating condition information corresponding to the power values at the preset points under each non-warm-up condition for the power values at the preset points under each non-warm-up condition; Obtain the total efficiency of each set of operating condition information according to each set of operating condition information; Obtain the operating condition information with the highest total efficiency among the operating condition information corresponding to the power values at the preset points under the same non-warm-up condition as the optimal operating condition of the power values at the preset points under the non-warm-up condition; Each set of the coolant temperature groups includes the engine coolant temperature and the generator coolant temperature.

2. The method for optimizing the power generation efficiency of a hybrid vehicle model according to claim 1, characterized in that The method for optimizing the power generation efficiency of the hybrid vehicle model further includes: Obtain the non-preset point power values under each non-warm-up condition; According to the optimal operating conditions of the power values at the preset points under each obtained non-warm-up condition, obtain the optimal operating conditions of the non-preset point power values under each non-warm-up condition by linear interpolation; wherein, The non-preset point power values under each non-warm-up condition, the optimal operating conditions of the non-preset point power values under each non-warm-up condition, the power values at the preset points under each non-warm-up condition, and the optimal operating conditions of the power values at the preset points under the non-warm-up condition form the engine operating condition database corresponding to the non-warm-up condition corresponding to this set of coolant temperatures.

3. The method for optimizing the power generation efficiency of a hybrid vehicle model according to claim 2, wherein, The method for optimizing the power generation efficiency of the hybrid vehicle model further includes: Obtain the power values at each preset point under warm-up conditions; According to the power values at the preset points under each warm-up condition, generate an engine operating condition database corresponding to each set of coolant temperature groups under warm-up conditions, and each of the engine operating condition databases under warm-up conditions includes the power values at the preset points under each warm-up condition and the optimal operating conditions of the power values at the preset points under each warm-up condition.

4. The method for optimizing the power generation efficiency of a hybrid vehicle model according to claim 3, wherein The operating condition information includes the engine torque and the engine speed.

5. An apparatus for optimizing the power generation efficiency of a hybrid vehicle type, characterized in that, The device for optimizing the power generation efficiency of the hybrid vehicle model includes: A coolant temperature group acquisition module, which is used to acquire multiple sets of coolant temperature groups; A preset point power value acquisition module, which is used to acquire the power values at each preset point under non-warm-up conditions; An engine operating condition database generation module, which is used to generate an engine operating condition database corresponding to each set of coolant temperature groups under non-warm-up conditions according to the power values at the preset points under each non-warm-up condition, and each of the engine operating condition databases includes the power values at the preset points under each non-warm-up condition and the optimal operating conditions of the power values at the preset points under each non-warm-up condition; The step of generating an engine operating condition database corresponding to each set of coolant temperature groups under non-warm-up conditions includes: Generate multiple pieces of operating condition information corresponding to the preset point power value under each non-warm-up operating condition for the preset point power value under the non-warm-up operating condition; Obtain the overall efficiency of the operating condition information according to each piece of operating condition information; Obtain the operating condition information with the highest overall efficiency among the pieces of operating condition information corresponding to the preset point power value under the same non-warm-up operating condition as the optimal operating condition of the preset point power value under the non-warm-up operating condition; Each group of the coolant temperature groups includes the engine coolant temperature and the generator coolant temperature.

6. A driving control method for a hybrid vehicle, characterized in that, The driving control method of the hybrid vehicle is used to control the vehicle driving through the engine operating condition database obtained by the power generation efficiency optimization method of the hybrid vehicle as described in any one of claims 1 to 4.

7. The driving control method for a hybrid vehicle according to claim 6, wherein, The driving control method of the hybrid vehicle further includes: During driving, obtain the vehicle driving speed; Judge whether the vehicle driving speed is lower than the preset vehicle speed. If so, then Obtain the operating condition information to be used currently according to the engine operating condition database under the non-warm-up operating condition or the engine operating condition database under the warm-up operating condition; Judge whether the engine speed in the operating condition information to be used is lower than the preset speed value. If not, then Obtain the preset engine speed and the engine torque corresponding to the preset engine speed.

8. The driving control method for a hybrid vehicle according to claim 7, wherein The driving control method of the hybrid vehicle further includes: During driving, obtain the engine operating condition database; Obtain the overall efficiency of the optimal operating condition of the preset point power value; Obtain other operating condition data whose difference from the overall efficiency of the optimal operating condition of the preset point power value is less than the threshold; Obtain the engine speed with the lowest engine speed and the corresponding engine torque among the above-mentioned operating condition data.

Images