An engine high-efficiency power generation area self-learning method and a mixer truck

Abstract

The application provides an engine high-efficiency power generation area self-learning method and a mixer, to solve the problem that high-efficiency power generation cannot be performed when the universal characteristic parameters of the engine cannot be determined. The method is suitable for a mixer truck, and the self-learning method comprises the following steps: when the mixer truck is in a driving working condition, based on the maximum real-time load M s max and the maximum real-time speed value n s max setting i groups of high-efficiency power generation intervals, each group of high-efficiency power generation intervals comprising a first speed n 1i , a second speed n 2i and a first load M i ; for each group of high-efficiency power generation intervals, setting the speed and load of the engine of the mixer truck based on the high-efficiency power generation interval, performing fuel consumption testing, and recording the fuel consumption; taking the first speed, the second speed and the first load in the high-efficiency power generation interval corresponding to the minimum fuel consumption as the first set speed, the second set speed and the first set load, and taking the maximum real-time load as the second set load.

Description

Technical Field

[0001] The present application relates to the field of power generation control technology, and in particular to a self-learning method for an engine high-efficiency power generation area and a mixer truck. Background Art

[0002] A mixer truck, such as a concrete mixer truck, typically consists of a superstructure and a chassis. The superstructure is equipped with a mixing tank for loading and mixing concrete. It typically uses a diesel engine for propulsion, while a power take-off drives a hydraulic system to rotate the superstructure's mixing tank. To prevent concrete from solidifying during transport, the engine must be constantly operating to power the superstructure's mixing tank.

[0003] Generally speaking, fuel-powered mixer trucks strive for efficient power generation. The efficient power generation zone of factory-installed mixer trucks is determined by the engine's universal characteristic parameters, and power generation is controlled based on the power generation parameters indicated by this zone. However, if a fuel-powered mixer truck is modified, or if the mixer truck's engine's universal characteristic parameters are unavailable, the power generation parameters cannot be determined, and thus, efficient power generation cannot be achieved. Summary of the Invention

[0004] The embodiments of the present application provide a self-learning method for an engine's efficient power generation area and a mixer truck, which are used to solve the problem of not being able to generate efficient power when the universal characteristic parameters of the engine cannot be determined, thereby reducing fuel consumption.

[0005] In the first aspect, the embodiment of the present application provides a self-learning method for an engine high-efficiency power generation zone, which is applicable to a mixer truck, wherein the mixer truck includes a chassis and an electric upper system, wherein the chassis includes an engine, and the electric upper system includes a generator, a generator controller, a drive motor, a drive motor controller, and a battery unit, wherein the battery unit is electrically connected to the generator and the drive motor, respectively, and the drive motor is used to drive the stirring device, and the engine high-efficiency power generation zone is a first speed n of the power generation parameter set. d , second speed n u 、First load Me d and the second load Me max The enclosed area,

[0006] The self-learning method of the efficient power generation area includes:

[0007] Step 1: When the mixer truck is in a driving state, start the generator to generate electricity and record the self-learning driving mileage and self-learning transport mileage;

[0008] Step 2: The electric upper body system collects the real-time load M of the engine in real time. s and real-time speed value n s ;

[0009] Step 3: When the first set condition is met, the first stage of self-learning is terminated, and the maximum real-time load M obtained during the first stage of self-learning is recorded. s max and the maximum real-time speed value n s max ;

[0010] The first set condition is that the driving mileage is greater than the first set mileage threshold, and the transport mileage is greater than the second set mileage threshold;

[0011] Step 4: Based on the maximum real-time load M s max and the maximum real-time speed value n s max Set i groups of high-efficiency power generation intervals, each group of high-efficiency power generation intervals includes the first speed n 1i , second speed n 2i and the first load M i ;

[0012] Step 5: Perform the second phase of self-learning for each group of high-efficiency power generation intervals:

[0013] The mixer truck's engine speed and load are set based on the high-efficiency power generation range, and a fuel consumption test is performed. When a second set condition is met, the second stage of self-learning ends and the fuel consumption is recorded. The second set condition is that the mileage during the second stage of self-learning is greater than a third set mileage threshold, and the transport mileage is greater than a fourth set mileage threshold.

[0014] Step 6: The first speed, the second speed, and the first load in the high-efficiency power generation range corresponding to the minimum fuel consumption in the second stage of self-learning are used as the first set speed, the second set speed, and the first set load, and the maximum real-time load is used as the second set load.

[0015] In a possible implementation, the load is the torque of the engine or the power of the engine.

[0016] In a possible implementation, the first load is less than the maximum real-time load, and the first speed n 1i The following conditions are met:

[0017] n0 <n 1i <1 / 2(n s max -n0)+n0;

[0018] The second speed n 2i The following conditions are met:

[0019] n 2i =n1i +1 / 2(n s max -n0);

[0020] wherein, the n0 represents an idling speed of the engine.

[0021] In a possible implementation, the determination condition of the driving condition is that the driving speed is greater than a first speed threshold and the duration is greater than a first set duration.

[0022] The transport mileage is a mileage of the engine in a transport condition, and the determination condition of the transport condition is that when in the driving condition, the real-time load of the driving motor is greater than a load threshold and the duration is greater than a second set duration.

[0023] In a possible implementation, after determining the high-efficiency power generation zone, the method further comprises:

[0024] When the mixer truck is in the driving condition and the mixer truck meets the power generation condition indicated by the high-efficiency power generation zone, the generator controller controls the generator to generate power.

[0025] wherein, the power generation condition indicated by the high-efficiency power generation zone is that the engine speed is between a first set speed and a second set speed, and / or the load of the engine is between a first set load and a second set load.

[0026] In a possible implementation, the generator controller controls the generator to generate power, comprising:

[0027] obtaining the power remaining of the battery unit;

[0028] When the power remaining is greater than a first power threshold, the generator controller controls the generator to generate power and provide for the driving motor.

[0029] When the power remaining is less than or equal to the first power threshold, the generator controller controls the generator to generate power and provide for the battery unit and the driving motor.

[0030] In a possible implementation, the method further comprises:

[0031] When the mixer truck is in the driving condition and does not meet the power generation condition indicated by the high-efficiency power generation zone, or the mixer truck is in the parking condition, obtaining the power remaining of the battery unit;

[0032] If the power remaining is less than a second power threshold, the generator is controlled to charge the battery unit until the power remaining is greater than or equal to the second power threshold.

[0033] In a possible implementation, the judgment condition of the parking condition is: the driving speed is less than the second speed threshold and the duration is greater than a third set time.

[0034] In a second aspect, an embodiment of the present application provides an electric loading system for a mixer truck, comprising:

[0035] a memory for storing program instructions;

[0036] The processor is used to obtain program instructions in the memory and implement the method described in the first aspect and different implementation methods of the first aspect according to the obtained program instructions.

[0037] In a third aspect, an embodiment of the present application provides a mixer truck, comprising the electric upper mounting system for the mixer truck described in the second aspect.

[0038] In a fourth aspect, an embodiment of the present application provides a computer-readable storage instruction, which includes a computer instruction. When the computer instruction is executed by a computer, the method described in the first aspect and different implementation methods of the first aspect is implemented.

[0039] The beneficial effects of the present application are as follows: In the present application, the maximum speed and the maximum load at different speeds are determined during the process of a concrete mixer truck traveling a set mileage, and then multiple groups of high-efficiency power generation intervals are determined based on the maximum speed and the maximum load at different speeds. For each group of high-efficiency power generation intervals, when the speed of the concrete mixer truck's engine is between the first speed and the second speed in the currently tested high-efficiency power generation interval, and the engine load is between the first load and the second load in the currently tested high-efficiency power generation interval, the concrete mixer truck's electric drive system is controlled to generate electricity. When the second set condition is met, the second stage of self-learning is terminated, and the fuel consumption is recorded. Furthermore, based on the fuel consumption corresponding to each high-efficiency power generation interval, the first speed, second speed, and first load in the high-efficiency power generation interval corresponding to the minimum fuel consumption can be used as the first set speed, second set speed, and first set load, and the maximum real-time load can be used as the second set load. Through the above method, when the universal characteristic parameters of the engine cannot be obtained, the high-efficiency power generation area can be determined through self-learning, so that power generation control can be performed through the high-efficiency power generation area to reduce fuel consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0041] Figure 1A schematic diagram of an electric loading system for a mixer truck provided in an embodiment of the present application;

[0042] Figure 2 A flow chart of a self-learning method for an engine high-efficiency power generation area provided in an embodiment of the present application;

[0043] Figure 3 A schematic diagram of a high-efficiency power generation area self-learning method provided in an embodiment of the present application;

[0044] Figure 4 A schematic diagram of a self-learning device for an engine high-efficiency power generation area provided in an embodiment of the present application;

[0045] Figure 5 A schematic diagram of an electric upper mounting system for a mixer truck provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. Unless there is a conflict, the embodiments in the present application and the features in the embodiments can be combined with each other in any way. In addition, although a logical order is shown in the flowchart, in some cases, the steps shown or described can be performed in an order different from that here.

[0047] The terms "first" and "second" in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the term "comprising" and any of its variations are intended to cover non-exclusive protection. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices. "Multiple" in this application can mean at least two, for example, two, three or more, and the embodiments of this application are not limited thereto.

[0048] Before introducing the method for determining power generation parameters provided in the embodiment of the present application, in order to facilitate understanding, the technical background of the embodiment of the present application is first introduced in detail below.

[0049] In the prior art, when an existing fuel mixer truck is modified for power generation control, the power generation control method can determine the power generation parameters based on the engine speed, and then use the power generation parameters to achieve efficient power generation. The engine speed is determined by the engine's universal characteristic data. However, the universal characteristic parameters of the fuel mixer truck are determined when the mixer truck leaves the factory. If the mixer truck has been used for a long time or has been sold, the universal characteristic parameters of the mixer truck may not be available. In this case, if the mixer truck needs to be modified for power generation control, the universal characteristic parameters of the mixer truck cannot be obtained. At this time, it is impossible to determine the power generation parameters, and thus it is impossible to achieve efficient power generation.

[0050] Based on the above problems, an embodiment of the present application provides a self-learning method for an engine high-efficiency power generation area and a concrete mixer truck. During the first stage of self-learning, the maximum speed and the maximum load at different speeds are determined, and then multiple groups of high-efficiency power generation intervals are determined based on the maximum speed and the maximum load at different speeds. For each group of high-efficiency power generation intervals, when the speed of the concrete mixer truck's engine is between the first speed and the second speed in the currently tested high-efficiency power generation interval, and the load of the engine is between the first load and the maximum load in the currently tested high-efficiency power generation interval, the concrete mixer truck's generator is controlled to generate electricity, and the concrete mixer truck's fuel consumption is determined. Furthermore, based on the fuel consumption corresponding to each high-efficiency power generation interval, the first speed, the second speed and the first load in the high-efficiency power generation interval corresponding to the minimum fuel consumption can be selected as the first set speed, the second set speed and the first set load, and the maximum real-time load can be used as the second set load. Through the above method, when the universal characteristic parameters of the engine cannot be obtained, the high-efficiency power generation interval can be determined by self-learning, so as to facilitate efficient power generation through the power generation parameters corresponding to the high-efficiency power generation interval.

[0051] The engine high-efficiency power generation area self-learning method provided in the embodiment of the present application can be executed by the electric upper system of the mixer truck. Figure 1 The figure shows a schematic diagram of the structure of an electric upper system of a mixer truck provided in an embodiment of the present application, including a drive motor system 110, a generator system 120 and a battery unit 130. The drive motor system 110 includes a drive motor 111 and a drive motor controller 112, and the generator system 120 includes a generator 121 and a generator controller 122. The generator 121 is connected to the power take-off port of the chassis engine 140. The engine 140 drives the generator 121 to generate electricity, charge the battery unit 130 or provide electrical energy to the drive motor 111; the drive motor 111 is connected to the reducer 151 of the stirring device to drive the stirring tank 152 to rotate.

[0052] In some embodiments, the generator controller 122 can be used to determine whether the concrete mixer truck is in a driving state. When the concrete mixer truck is determined to be in a driving state, the speed and load of the concrete mixer truck's engine 140 are obtained to determine whether the engine speed and load meet the power generation conditions indicated by the high-efficiency power generation zone. When the power generation conditions indicated by the high-efficiency power generation zone are determined to be met, the generator controller 122 controls the generator 121 to generate electricity. When the concrete mixer truck is in a driving state but does not meet the power generation conditions indicated by the high-efficiency power generation zone, or when the concrete mixer truck is in a parking state, the remaining charge of the battery unit 130 is obtained to determine whether to generate electricity based on the remaining charge.

[0053] In some embodiments, the generator controller 122 may also execute a high-efficiency power generation area self-learning method and determine the first set speed, the second set speed, the first set load, and the second set load in the high-efficiency power generation area, thereby controlling the generator 121 to generate electricity.

[0054] In some embodiments, the electric upper system further includes a central control display unit 160 and a rear control panel 170 . The central control display unit 160 is used to monitor the system status and the driver's operating settings, and the rear control panel 170 is used to control and monitor the status of the stirring device.

[0055] It is understandable that Figure 1 The structure of the electric upper installation system shown is only an example. The structure of the electric upper installation system may include more components. The specific model and specific implementation method of each component are not specifically limited in this application.

[0056] The embodiment of the present application provides a self-learning method for an engine high-efficiency power generation area. Figure 2 The following is an example of the process of the self-learning method for the engine's high-efficiency power generation area. The specific steps are as follows:

[0057] S201, step 1, when the mixer truck is in driving condition, start the generator to generate electricity and record the self-learning driving mileage and self-learning transport mileage.

[0058] In some embodiments, the engine high efficiency power generation area is the first set speed n of the power generation parameter set. d , the second set speed n u , the first set load Me d and the second set load Me max The first set speed is less than the second set speed, and the first set load is less than the second set load. The load can be the engine torque or the engine power, which is not specifically limited in this application.

[0059] In some embodiments, the driving condition is determined by the driving speed exceeding a first speed threshold and lasting for a duration greater than a first set duration. Transport mileage is the mileage traveled while the engine is in the transport condition. The transport condition is determined by the real-time load of the drive motor exceeding a load threshold and lasting for a duration greater than a second set duration while in the driving condition. The first set duration and the second set duration may be the same or different, and this application does not impose specific limitations on this.

[0060] As an example, taking the first speed threshold as 10km / s and the first set time as 10s, when the driving speed of the mixer truck is greater than 10km / s and the duration of the driving speed greater than 10km / s exceeds 10s, it is determined that the mixer truck is in the driving condition.

[0061] S202, step 2, the electric upper body system collects the real-time load and real-time speed values ​​of the engine in real time.

[0062] Among them, the real-time load is expressed as M s , the real-time speed value is expressed as n s .

[0063] S203, step 3, when the first set condition is met, the first stage self-learning is ended, and the maximum real-time load and maximum real-time speed values ​​obtained during the first stage self-learning process are recorded.

[0064] Among them, the maximum real-time load is expressed as M s max , the maximum real-time speed value is expressed as n s max

[0065] Among them, the first setting condition is that the driving mileage is greater than the first setting mileage threshold, and the transportation mileage is greater than the second setting mileage threshold.

[0066] As an example, the total mileage of the first preset self-learning is expressed as S s1 , where S s1 It can be set to no less than 2000km. Of course, it can also be set to other mileages. This application does not make specific restrictions on this. The first stage self-learning mileage S1 is not less than 0.1S s1 km, the first stage of self-learning transport mileage S t1 Not less than 0.05S s1 km, of course, the first stage of self-learning mileage S1 can also be set to no less than 0.08S s1 km, the first stage of self-learning transport mileage S t1 It can also be set to no less than 0.04S s1 km, or other mileage, which is not specifically limited in this application.

[0067] S204, step 4, setting i groups of high-efficiency power generation intervals based on the maximum real-time load and the maximum real-time speed value, each group of high-efficiency power generation intervals includes a first speed, a second speed, and a first load.

[0068] Among them, the first speed is n 1i The second speed is represented by n 2i and the first load is denoted as M i .

[0069] In some embodiments, for each group of high-efficiency power generation intervals, the first load is less than the maximum real-time load M s max , preferably, the first load is greater than 1 / 2M s max , 1 / 3M s max 、1 / 4M s max . First speed n 1i The following conditions are met:

[0070] n0 <n 1i <1 / 2(n s max -n0)+n0;

[0071] The second speed n 2i The following conditions are met:

[0072] n 2i =n 1i +1 / 2(n s max -n0);

[0073] Among them, n0 is used to represent the idle speed of the engine.

[0074] S205, step 5, performs a second phase of self-learning for each set of high-efficiency power generation intervals: the mixer truck's engine speed and load are set based on the high-efficiency power generation intervals, and a fuel consumption test is performed. The second phase of self-learning ends when a second set condition is met, and fuel consumption is recorded. The second set condition is that the mileage during the second phase of self-learning exceeds a third set mileage threshold, and the transport mileage exceeds a fourth set mileage threshold.

[0075] As an example, the total mileage of the second preset self-learning is expressed as S s2 , where S s2 It can be set to no less than 2000km. Of course, it can also be set to other mileages. This application does not make specific restrictions on this. For each group of high-efficiency power generation intervals, the second stage self-learning mileage S2 is set to no less than 0.1S s2km, the second stage self-learning transport mileage S t2 Set to no less than 0.05S s2 km. Of course, the second stage of self-learning mileage S2 can also be set to no less than 0.8S s2 km, the second stage self-learning transport mileage S t2 It can also be set to no less than 0.04S s2 km, or other mileage, which is not specifically limited in this application.

[0076] In some embodiments, the fuel consumption represents the ratio of the fuel consumption to the mileage during the second stage self-learning process of a certain group of high-efficiency power generation intervals.

[0077] In one possible implementation, for each group of high-efficiency power generation intervals, the corresponding fuel consumption satisfies the conditions shown in the following formula:

[0078]

[0079] BSFC represents fuel consumption in L / km; ΔC represents the fuel consumption during the second phase of self-learning for a certain set of high-efficiency power generation intervals; and S2 represents the second phase of self-learning mileage corresponding to a set of high-efficiency power generation intervals.

[0080] S206, step 6, uses the first speed, second speed, and first load in the high-efficiency power generation range corresponding to the minimum fuel consumption in the second stage self-learning as the first set speed, second set speed, and first set load, and uses the maximum real-time load as the second set load.

[0081] See also Figure 3 As shown in FIG, the specific implementation steps of the engine high-efficiency power generation area self-learning method provided by this application are as follows:

[0082] S301, learning the maximum speed and the maximum load at different speeds.

[0083] The specific implementation steps are as follows:

[0084] Step 1: Me max The initial value is set to 0Nm, n max The initial value is set to 0 rpm.

[0085] Step 2: Determine the current mileage and current transport mileage of the mixer truck.

[0086] Transport mileage refers to the mileage that the mixer truck's mixing tank travels to fill concrete;

[0087] The mileage includes transportation mileage and empty truck mileage, that is, the mileage during which the mixer truck's mixing tank is not filled with concrete.

[0088] Step 3: Continue to detect the real-time accumulated driving mileage and accumulated transport mileage of the mixer truck until the accumulated driving mileage meets the driving mileage S1 of the first stage of self-learning and the accumulated transport mileage meets the transport mileage S1 of the first stage of self-learning. t1 As an example, the accumulated driving mileage and accumulated transport mileage meet the conditions shown in the following formula:

[0089] ΔS1=S1-S 01

[0090] ΔS t1 =S t1 -S t01

[0091] in:

[0092] ΔS1——Cumulative mileage, unit: km

[0093] ΔS t1 ——Cumulative transport mileage, unit: km

[0094] S1——the total mileage of the mixer truck after learning, in km;

[0095] S t1 ——The current total transport mileage of the mixer truck after learning, in km;

[0096] S t01 ——The total mileage of the mixer truck at the beginning of learning, in km;

[0097] S 01 ——The total mileage of the mixer truck at the beginning of learning, in km;

[0098] Step 4: Collect the real-time engine load value M at all times s , speed value n s The real-time load is compared with the recorded maximum load. If the real-time load is greater than the recorded maximum load, the maximum load value is updated to the real-time load. The real-time speed is compared with the recorded maximum real-time speed value. If the real-time speed is greater than the recorded maximum real-time speed value, the maximum real-time speed value is updated to the real-time speed.

[0099] Step 5: Continue the above process until the following two conditions are met simultaneously, then end the learning of the maximum speed and the maximum load at different speeds, and record the final learning value.

[0100] Condition a. Mileage ΔS exceeds S2km;

[0101] Condition b. The system determines that the transport mileage is transport condition ΔS tGreater than 0.5S2km;

[0102] In this application, S s The total mileage of self-learning is preferably more than 3 times in each working condition. For example, it is at least 2000 kilometers, and more than 3000 kilometers is recommended. Of course, the longer the better.

[0103] S302 : Determine multiple groups of high-efficiency power generation intervals based on the maximum speed and the maximum loads at different speeds.

[0104] In some embodiments, taking the engine load as engine torque, multiple sets of high-efficiency power generation ranges can be determined after determining the maximum speed and the maximum torque at different speeds. For example, eight sets of high-efficiency power generation ranges can be determined, as shown in Table 1 below. Of course, more or fewer high-efficiency power generation ranges can also be used, and this application does not specifically limit this.

[0105] Table 1 High-efficiency power generation range

[0106] serial number <![CDATA[n d ]]> <![CDATA[n u ]]> <![CDATA[Me d ]]> <![CDATA[Me max ]]> 1 <![CDATA[n d1 ]]> <![CDATA[n u1 ]]> Me d1 ]] <![CDATA[Me max1 ]]> 2 <![CDATA[n d1 ]]> <![CDATA[n u1 ]]> <![CDATA[Me d2 ]]> <![CDATA[Me max2 ]]> 3 <![CDATA[n d1 ]]> <![CDATA[n u2 ]]> <![CDATA[Me d1 ]]> <![CDATA[Me max3 ]]> 4 <![CDATA[n d1 ]]> <![CDATA[n u2 ]]> <![CDATA[Me d2 ]]> <![CDATA[Me max4 ]]> 5 <![CDATA[n d2 ]]> <![CDATA[n u1 ]]> <![CDATA[Me d1 ]]> <![CDATA[Me max5 ]]> 6 <![CDATA[n d2 ]]> <![CDATA[n u1 ]]> <![CDATA[Me d2 ]]> <![CDATA[Me max6 ]]> 7 <![CDATA[n d2 ]]> <![CDATA[n u2 ]]> <![CDATA[Me d1 ]]> <![CDATA[Me max7 ]]> 8 <![CDATA[n d2 ]]> <![CDATA[n u2 ]]> <![CDATA[Me d2 ]]> <![CDATA[Me max8 ]]>

[0107] Among them, n d Used to indicate the first speed, n u Used to indicate the second speed, Me d Indicates the first load, Me max Indicates the second load, Me max For maximum load.

[0108] S303 , for each group of high-efficiency power generation intervals, determining the fuel consumption when traveling the set transport mileage and the set driving mileage.

[0109] Step 1: Before the current group high-efficiency power generation interval setting verification begins, the current mixer truck’s cumulative mileage, mixer truck’s cumulative transport mileage, and cumulative fuel consumption are assigned to the mixer truck’s cumulative mileage S at the start of learning. 02 , transport mileage S t02 , fuel consumption C0.

[0110] Step 2: Continuously monitor the mixer truck's real-time cumulative mileage, cumulative fuel consumption, and cumulative transport mileage, and calculate the cumulative mileage, transport mileage, and fuel consumption during the learning process. When the mixer truck meets the power generation conditions indicated by the high-efficiency power generation range, it generates power.

[0111] ΔS2=S2-S 02

[0112] ΔS t2 =S t2 -S t02

[0113] ΔC=C-C0

[0114] Where: ΔC - cumulative fuel consumption during the learning process, unit: L; C - cumulative fuel consumption of the mixer truck after the learning process, unit: L; C0 - cumulative fuel consumption of the mixer truck at the beginning of the learning process, unit: L; ΔS2 - cumulative mileage, unit: km; ΔS t2 ——Accumulated transport mileage, unit km; S2——Current total mileage of the mixer truck after learning, unit km; S t2 ——The current total transport mileage of the mixer truck after learning, in km; S t02 ——The total mileage of the mixer truck at the beginning of learning, in km; S 02 ——The total mileage of the mixer truck at the beginning of learning, in km.

[0115] Step 3: When the following conditions are met, the fuel consumption test in the current high-efficiency power generation range ends;

[0116] a) The driving mileage ΔS2 under the high-efficiency power generation range setting of this group reaches more than S2km;

[0117] b) Transport mileage ΔS under the transport condition under the high-efficiency power generation range setting of this group t2 Greater than 0.5S2km;

[0118] Step 4: Calculate the fuel consumption under the current high-efficiency power generation range setting and record the fuel consumption (unit: L / 100km);

[0119]

[0120] Step 5: Based on the first speed, second speed, first load, and second load in the 2nd to 8th groups of power generation parameter sets, repeat the above steps 1 to 4 until all high-efficiency power generation intervals are verified.

[0121] S304: determining a high-efficiency power generation area based on the fuel consumption, and using power generation parameters in the high-efficiency power generation area as power generation parameters for power generation control.

[0122] Specifically, we can take the group n with the smallest fuel consumption BSFC d 、n u 、Me d and Me max The parameters serve as engine speed and torque threshold conditions for power generation control.

[0123] In some embodiments, after determining the high-efficiency power generation zone, power generation control can be performed based on the high-efficiency power generation zone. Specifically, when the mixer truck is in a driving state and meets the power generation conditions indicated by the high-efficiency power generation zone, the generator controller controls the generator to generate power. The power generation conditions indicated by the high-efficiency power generation zone include an engine speed between a first set speed and a second set speed, and / or an engine load between a first set load and a second set load.

[0124] Specifically, since different power generation control methods may perform power generation control based on different power generation parameters, the present application may determine the power generation parameters from the power generation conditions indicated by the high-efficiency power generation area according to the power generation control method.

[0125] For example, if the power generation control method is based on engine speed, the high-efficiency power generation zone indicates power generation conditions when the engine speed is between a first set speed and a second set speed. When the mixer truck is in a driving state and the engine speed is between the first set speed and the second set speed, the generator is controlled to generate high-efficiency power.

[0126] In another embodiment, if the power generation control method is based on engine load, the power generation condition indicated by the high-efficiency power generation zone is when the engine load is between a first set load and a second set load. When the mixer truck is in a driving state and the engine load is between the first set load and the second set load, the generator is controlled to generate power at high efficiency.

[0127] In another embodiment, if the power generation control method performs power generation control based on engine speed and engine load, the power generation condition indicated by the high-efficiency power generation zone is that the engine speed is between a first set speed and a second set speed, and the engine load is between the first set load and the second set load. When the concrete mixer truck is in a driving condition, the engine speed is between the first set speed and the second set speed, and the engine load is between the first set load and the second set load, the generator is controlled to perform high-efficiency power generation.

[0128] In some embodiments, the generator controller controls the generator to generate electricity, which can be achieved in the following way: obtaining the remaining power of the battery unit; when the remaining power is greater than a first power threshold, the generator controller controls the generator to generate electricity and provide it to the drive motor; when the remaining power is less than or equal to the first power threshold, the generator controller controls the generator to generate electricity and provide it to the battery unit and the drive motor.

[0129] In some embodiments, when the mixer truck is in the driving mode and the power generation conditions indicated by the high-efficiency power generation area are not met, or when the mixer truck is in the parking mode, the power remaining of the battery unit is obtained. If the power remaining is less than a second power threshold, the generator is controlled to charge the battery unit until the power remaining is greater than or equal to the second power threshold. The second power threshold can be equal to or different from the first power threshold, which is not limited in the present application.

[0130] In some embodiments, in some scenarios, when the mixer truck is powered on, the mixer truck is in the parking mode by default. Alternatively, when the driving speed of the mixer truck is less than a second speed threshold and the duration exceeds a third set duration, it is determined that the mixer truck is in the parking mode. The second speed threshold is less than the first speed threshold.

[0131] As an example, the second speed threshold is 5 km / s, and the third set duration is 10 s. When the driving speed of the mixer truck is less than 5 km / s, and the duration of the driving speed being less than 5 km / s is greater than 10 s, it is determined that the mixer truck is in the parking mode.

[0132] Based on the same technical concept, referring to Figure 4 Fig. 4 shows a device 400 for self-learning of the high-efficiency power generation area of an engine according to an embodiment of the present application. The device 400 can perform any of the steps of the self-learning method of the high-efficiency power generation area of an engine described above, and will not be described again here to avoid repetition. The device 400 comprises a first determining unit 401 and a second determining unit 402.

[0133] The first determining unit 401 is configured to:

[0134] When the mixer truck is in the driving mode, start the generator to generate power, and record the self-learning driving mileage and the self-learning transportation mileage;

[0135] The electric loading system collects the real-time load M s and the real-time speed value n s of the engine in real time;

[0136] When the first set condition is met, the first stage self-learning is ended, and the maximum real-time load M s max and the maximum real-time speed value n s max obtained in the first stage self-learning process are recorded;

[0137] The first set condition is that the driving mileage is greater than a first set mileage threshold, and the transportation mileage is greater than a second set mileage threshold;

[0138] The second determining unit 402 is configured to:

[0139] Based on the maximum real-time load M s max and the maximum real-time speed value n s max Set i groups of high-efficiency power generation intervals, each group of high-efficiency power generation intervals includes the first speed n 1i , second speed n 2i and the first load M i ;

[0140] The second stage of self-learning is carried out for each group of high-efficiency power generation intervals:

[0141] The mixer truck's engine speed and load are set based on the high-efficiency power generation range, and a fuel consumption test is performed. When a second set condition is met, the second stage of self-learning ends and the fuel consumption is recorded. The second set condition is that the mileage during the second stage of self-learning is greater than a third set mileage threshold, and the transport mileage is greater than a fourth set mileage threshold.

[0142] The first speed, the second speed, and the first load in the high-efficiency power generation range corresponding to the minimum fuel consumption in the second stage of self-learning are used as the first set speed, the second set speed, and the first set load, and the maximum real-time load is used as the second set load.

[0143] In a possible implementation, the load is the torque of the engine or the power of the engine.

[0144] In a possible implementation, the first load is less than the maximum real-time load, and the first speed n 1i The following conditions are met:

[0145] n0 <n 1i <1 / 2(n s max -n0)+n0;

[0146] The second speed n 2i The following conditions are met:

[0147] n 2i =n 1i +1 / 2(n s max -n0);

[0148] Wherein, n0 represents the idle speed of the engine.

[0149] In a possible implementation, the driving condition is determined as follows: the driving speed is greater than a first speed threshold and the duration is greater than a first set duration;

[0150] The transport mileage is the mileage traveled by the engine in a transport condition, and the judgment condition for the transport condition is that when in the driving condition, the real-time load of the drive motor is greater than the load threshold and the duration is greater than a second set duration.

[0151] In a possible implementation, after determining the high-efficiency power generation area, the second determining unit 402 is further configured to:

[0152] When the mixer truck is in a driving condition and the mixer truck meets the power generation conditions indicated by the high-efficiency power generation zone, the generator controller controls the generator to generate power;

[0153] The power generation condition indicated by the high-efficiency power generation area is that the engine speed is between a first set speed and a second set speed, and / or the engine load is between a first set load and a second set load.

[0154] In a possible implementation, the second determining unit 402, when controlling the generator to generate electricity, is specifically configured to:

[0155] Obtaining the remaining power of the battery unit;

[0156] When the remaining power is greater than a first power threshold, the generator controller controls the generator to generate power and provide the power to the drive motor;

[0157] When the remaining power is less than or equal to the first power threshold, the generator controller controls the generator to generate power for the battery unit and the drive motor.

[0158] In a possible implementation, the second determining unit 402 is further configured to: when the mixer truck is in a driving condition and does not meet the power generation conditions indicated by the high-efficiency power generation zone, or when the mixer truck is in a parking condition, obtain the remaining power of the battery unit;

[0159] If the remaining power is less than a second power threshold, the generator is controlled to charge the battery unit until the remaining power is greater than or equal to the second power threshold and power generation is stopped.

[0160] In a possible implementation, the judgment condition of the parking condition is: the driving speed is less than the second speed threshold and the duration is greater than a third set time.

[0161] Based on the same technical concept, the embodiment of the present application provides an electric upper system for a mixer truck, which can realize the function of the self-learning device of the engine high-efficiency power generation area discussed above. Please refer to Figure 5 The electric upper body system 500 includes a memory 501 and a processor 502 .

[0162] Memory 501, used for storing program instructions;

[0163] The processor 502 is configured to call the program instructions stored in the memory and execute any step of the above-mentioned engine efficient power generation self-learning method according to the obtained program instructions.

[0164] In the embodiment of the present application, the processor 502 is the control center of the electronic device, which connects the various parts of the electronic device using various interfaces and routes, and performs various functions of the electronic device and processes data by running or executing software programs and / or modules stored in the memory 501, and calling data stored in the memory 501. Optionally, the processor 502 may include one or more processing units. The processor 502 may be, for example, a control component such as a processor, a microprocessor, or a controller, and may be, for example, a general-purpose central processing unit (CPU), a general-purpose processor, a digital signal processing (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof.

[0165] The memory 501 can be used to store software programs and modules. The processor 502 executes various functional applications and data processing by running the software programs and modules stored in the memory 501. The memory 501 may mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to business processing, etc. The memory 501 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules. The memory 501 may include at least one type of storage medium, for example, a flash memory, a hard disk, a multimedia card, a card-type memory, a random access memory (RAM), a static random access memory (SRAM), a programmable read-only memory (PROM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 501 is any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto. The memory 501 in the embodiment of the present application may also be a circuit or any other device capable of performing a storage function, for storing program instructions and / or data.

[0166] Based on the same technical concept, an embodiment of the present application also provides a mixer truck, including the above-mentioned electric upper mounting system of the mixer truck.

[0167] Based on the same technical concept, embodiments of the present application provide a computer-readable storage medium comprising computer instructions. When executed on a computer, the computer executes any of the aforementioned methods for self-learning efficient engine power generation. Because the principles underlying the problem solved by the computer-readable storage medium are similar to those of the method, the implementation of the computer-readable storage medium can be referenced to the implementation of the method, and any repetitive details will not be repeated.

[0168] Based on the same technical concept, embodiments of the present application also provide a computer program product, comprising computer program code that, when executed on a computer, causes the computer to execute any of the aforementioned methods for self-learning efficient engine power generation. Because the principles underlying the problems solved by the aforementioned computer program product are similar to those of the aforementioned method for self-learning efficient engine power generation, the implementation of the aforementioned computer program product can be referenced to the implementation of the aforementioned method, and any repetitive details will not be repeated.

[0169] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0170] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0171] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0172] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0173] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A self-learning method for an engine high-efficiency power generation area, applicable to a mixer truck, wherein the mixer truck includes a chassis and an electric upper system, the chassis includes an engine, the electric upper system includes a generator, a generator controller, a drive motor, a drive motor controller, and a battery unit, wherein the battery unit is electrically connected to the generator and the drive motor, respectively, and the drive motor is used to drive a stirring device, characterized in that: The engine's efficient power generation area is the first set speed n of the power generation parameter set d , the second set speed n u , the first set load Me d and the second set load Me max The enclosed area, The self-learning method of the efficient power generation area includes: Step 1: When the mixer truck is in a driving state, start the generator to generate electricity and record the self-learning driving mileage and self-learning transport mileage; Step 2: The electric upper body system collects the real-time load M of the engine in real time. s and real-time speed value n s ; Step 3: When the first set condition is met, the first stage of self-learning is terminated, and the maximum real-time load M obtained during the first stage of self-learning is recorded. smax and the maximum real-time speed value n smax ; The first set condition is that the driving mileage is greater than the first set mileage threshold, and the transport mileage is greater than the second set mileage threshold; Step 4: Based on the maximum real-time load M smax and real-time speed value n smax Set i groups of high-efficiency power generation intervals, each group of high-efficiency power generation intervals includes the first speed n 1i , second speed n 2i and the first load M i ; Step 5: Perform the second phase of self-learning for each group of high-efficiency power generation intervals: The mixer truck's engine speed and load are set based on the high-efficiency power generation range, and a fuel consumption test is performed. When a second set condition is met, the second stage of self-learning ends and the fuel consumption is recorded. The second set condition is that the mileage during the second stage of self-learning is greater than a third set mileage threshold, and the transport mileage is greater than a fourth set mileage threshold. Step 6: The first speed, the second speed, and the first load in the high-efficiency power generation range corresponding to the minimum fuel consumption in the second stage of self-learning are used as the first set speed, the second set speed, and the first set load, and the maximum real-time load is used as the second set load.

2. The method according to claim 1, wherein The load is the torque of the engine or the power of the engine.

3. The method according to claim 1, wherein The first load is less than the maximum real-time load, and the first speed n 1i The following conditions are met: n0 <n 1i <1 / 2(n smax -n0)+n0; The second speed n 2i The following conditions are met: a 2i =n 1i +1 / 2(n smax -n0); Wherein, n0 represents the idle speed of the engine.

4. The method according to claim 1, wherein The judgment condition of the driving condition is: the driving speed is greater than a first speed threshold and the duration is greater than a first set duration; The transport mileage is the mileage traveled by the engine in a transport condition, and the judgment condition for the transport condition is that when in the driving condition, the real-time load of the drive motor is greater than the load threshold and the duration is greater than a second set duration.

5. The method according to claim 1, wherein After determining the high-efficiency power generation area, the method further includes: When the mixer truck is in a driving condition and the mixer truck meets the power generation conditions indicated by the high-efficiency power generation zone, the generator controller controls the generator to generate power; The power generation condition indicated by the high-efficiency power generation area is that the engine speed is between a first set speed and a second set speed, and / or the engine load is between a first set load and a second set load.

6. The method according to claim 5, wherein The generator controller controls the generator to generate electricity, including: Obtaining the remaining power of the battery unit; When the remaining power is greater than a first power threshold, the generator controller controls the generator to generate power and provide the power to the drive motor; When the remaining power is less than or equal to the first power threshold, the generator controller controls the generator to generate power for the battery unit and the drive motor.

7. The method according to claim 5, wherein The method further comprises: When the mixer truck is in a driving condition and does not meet the power generation conditions indicated by the high-efficiency power generation zone, or when the mixer truck is in a parking condition, obtaining the remaining power of the battery unit; If the remaining power is less than a second power threshold, the generator is controlled to charge the battery unit until the remaining power is greater than or equal to the second power threshold and power generation is stopped.

8. The method according to claim 7, wherein The judgment condition of the parking condition is: the driving speed is less than the second speed threshold and the duration is greater than the third set time.

9. An electric loading system for a mixer truck, characterized in that: include: a memory for storing program instructions; A processor is configured to obtain program instructions from the memory and implement the method according to any one of claims 1 to 8 according to the obtained program instructions.

10. A mixer truck, characterized in that: It includes the electric upper installation system of a mixer truck as described in claim 9.

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