CN113918888A - Method for acquiring total weight of hybrid heavy commercial vehicle - Google Patents
Method for acquiring total weight of hybrid heavy commercial vehicle Download PDFInfo
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- CN113918888A CN113918888A CN202111112638.0A CN202111112638A CN113918888A CN 113918888 A CN113918888 A CN 113918888A CN 202111112638 A CN202111112638 A CN 202111112638A CN 113918888 A CN113918888 A CN 113918888A
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- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000001914 filtration Methods 0.000 claims abstract description 15
- 230000001133 acceleration Effects 0.000 claims description 3
- 238000005457 optimization Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000009347 mechanical transmission Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
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- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/08—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for incorporation in vehicles
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Abstract
The invention provides a method for acquiring the total weight of a hybrid heavy commercial vehicle, which mainly solves the problem that the gear shift control of an AMT is influenced due to inaccurate total weight value acquisition value of the vehicle. The method is an optimization and improvement algorithm based on average filtering, and can quickly and accurately obtain the total weight of the automobile, so that the gear shifting of the AMT can be accurately controlled.
Description
Technical Field
The invention relates to the field of hybrid power heavy commercial vehicle Automatic Mechanical Transmission (AMT) control, in particular to a method for acquiring the total weight of a hybrid power heavy commercial vehicle.
Background
When the hybrid power heavy commercial vehicle is unloaded and fully loaded, the total weight of the vehicle is changed greatly, generally between 8 tons and 50 tons, and the accurate acquisition of the total weight of the vehicle has great influence on the control strategy of the AMT gear shifting. For example, when the vehicle is unloaded, the total weight of the vehicle is smaller, the required driving force is small under the same working condition, and the AMT needs to be controlled in a high-grade area and a small speed ratio; when the automobile is fully loaded, the total weight of the automobile is large, the required driving force is large under the same working condition, and the AMT needs to be controlled in a low gear area and a large speed ratio. Therefore, the control of the automatic mechanical automatic transmission (AMT) of the hybrid heavy-duty commercial vehicle needs to accurately acquire the total weight value of the vehicle.
However, the total weight value of the automobile is influenced by unpredictable factors such as road surface fluctuation, tire rigidity, vehicle body suspension, cargo center of gravity drift and the like, the acquired signal is very unstable, and the acquired weight is processed by simply calculating an average value at present.
Disclosure of Invention
The invention provides a method for acquiring the total weight of a hybrid heavy commercial vehicle, which is an optimization and improvement algorithm based on average value filtering, can quickly and accurately acquire the total weight of the vehicle, and solves the problem that the gear shifting control of an AMT is influenced due to inaccurate acquisition value of the total weight of the vehicle.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for obtaining the total weight of a hybrid heavy commercial vehicle comprises the following steps:
step one, collecting a total automobile weight value in (t) of the hybrid heavy commercial vehicle at the current moment;
step two, comparing the collected total weight value in (t) of the automobile with the filtered total weight value out (t-1) of the automobile at the previous moment to obtain a relation parameter b;
b is 1 if in (t) > out (t-1), and b is 0 if in (t) ≦ out (t-1);
step three, optimizing a historical temporary array H (t-1) at the previous moment by using the total automobile weight value in (t) at the current moment and the relation parameter b to obtain a historical temporary array H (t) at the current moment; wherein, H (t-1) { H1, H2, …, hn };
3.1) updating H (t-1) by using the total automobile weight value in (t) and the relation parameter b to obtain a temporary intermediate history array H (t);
if b is 1, replacing the maximum value hn in H (t-1) with in (t) to obtain an intermediate history temporary array H (t) ', H (t)' (H1, H2, …, in (t)) };
if b is 0, replacing the minimum value H1 in H (t-1) with in (t), obtaining an intermediate history temporary array H (t), H (t) ═ in (t), H2, …, hn };
3.2) sorting the n values in the intermediate historical temporary array H (t)) from small to large to obtain the historical temporary array H (t) at the current moment;
and fourthly, eliminating the maximum value and the minimum value in the historical temporary array H (t) at the current moment, taking the average value of the rest n-2 values as the filtering output out (t) at the current moment, wherein the filtering output out (t) at the current moment is the total weight value of the automobile filtered at the current moment.
Further, in the step one, the total automobile weight value in (t) of the hybrid heavy commercial vehicle at the current moment is calculated through the longitudinal stress and the longitudinal acceleration change of the vehicle.
Further, in step three, n is 10.
Compared with the prior art, the invention has the following beneficial effects:
compared with the currently and generally adopted method for simply calculating the average value, the method provided by the invention has the advantages that the acquired data is optimized, abnormal data can be rapidly eliminated, interference and fluctuation are effectively reduced, more effective data is reserved and utilized, more accurate weight value is obtained, and gear shifting for the AMT can be accurately controlled.
Drawings
FIG. 1 is a flow chart of a method for obtaining the total weight of a hybrid heavy commercial vehicle according to the present invention;
FIG. 2 is a schematic view of the total weight of the automobile collected by the method of the present invention;
FIG. 3 is a schematic diagram of a filtering process in the method of the present invention;
FIG. 4 is a diagram illustrating historical temporary data at the current time according to an embodiment of the present disclosure;
FIG. 5 is a diagram illustrating data output after filtering according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention and are not intended to limit the scope of the present invention.
The invention provides a method for acquiring the total weight of a hybrid heavy commercial vehicle, which mainly utilizes an optimization and improvement algorithm of average value filtering to obtain a more accurate total weight value of the vehicle, so that the gear shifting of an AMT (automated mechanical transmission) can be accurately controlled.
As shown in FIG. 1, the method for acquiring the total weight of the hybrid heavy commercial vehicle specifically comprises the following steps:
step one, collecting a total automobile weight value in (t) of the hybrid heavy commercial vehicle at the current moment;
the total automobile weight value in (t) at the current moment is obtained through the change of the longitudinal stress and the longitudinal acceleration of the automobile, and fig. 2 is a change curve of 1000s of sampling data in (t) along with time, so that the change of the collected original data is large, and the collected original data can not be directly used for controlling an Automatic Mechanical Transmission (AMT) of a hybrid power heavy commercial vehicle;
step two, comparing the collected total automobile weight value in (t) with the filtered total automobile weight value out (t-1) at the previous moment to obtain a relation parameter b of in (t) and out (t-1);
b is 1 if in (t) > out (t-1), and b is 0 if in (t) ≦ out (t-1);
in the step, the initial out (t-1) is a set value;
step three, as shown in fig. 3 and 4, optimizing the historical temporary array H (t-1) at the previous moment by using the total automobile weight value in (t) at the current moment and the relation parameter b to obtain the historical temporary array H (t) at the current moment;
in this step, there are three parts of filter input: the method comprises the following steps that (1) the total automobile weight value in (t) at the current moment, the filtered total automobile weight value out (t-1) at the previous moment and a historical temporary array H (t-1) at the previous moment;
the historical temporary array H (t-1) at the previous moment is an array { H1, H2, …, hn }, H1, H2 … hn) containing n historical input signal records, represents the screened historical sample data in the historical temporary array H (t-1), and specifically comprises a plurality of collected weight values; in this example, n is 10, h1, h2 … hn has been sorted by size, where h1 is the smallest and hn is the largest;
and 3.1) updating H (t-1) by using the total automobile weight value in (t) and the relation parameter b to obtain a temporary intermediate history array H (t)', wherein the specific process is as follows:
if b is 1, replacing the maximum value hn in H (t-1) by in (t), thus obtaining an intermediate history temporary array H (t), H (t)' (H1, H2, …, in (t));
if b is 0, replacing the minimum value H1 in H (t-1) with in (t), thus obtaining an intermediate history temporary array H (t), H (t)' (in (t), H2, …, hn };
3.2) sorting n data in the intermediate temporary array H (t)) from small to large (h1 is minimum, hn is maximum) to obtain the temporary array H (t) at the current moment;
H(t)＝{h1，h2，…，hn}
step four, eliminating the maximum value and the minimum value in the historical temporary array H (t) at the current moment, taking the average value of the rest n-2 values as the filtering output out (t) at the current moment, wherein the filtering output out (t) at the current moment is the total weight value of the automobile after filtering at the current moment;
since the values in H (t) are sorted by size, so
out(t)＝(h2+h3+…+hn-1)/(n-2)
And continuously iterating and updating to obtain the more and more accurate total weight of the automobile at different moments.
In this embodiment, the total vehicle weight is 19.5 tons, and as can be seen from fig. 5, even if the initial value is added, the filtering output value after iteration of 300s is very close to the actual vehicle weight.
As shown in FIGS. 2 and 5, tests prove that compared with the currently commonly adopted method of simply calculating the average value, the method of the invention can effectively reduce interference and fluctuation and obtain a more accurate weight value by eliminating the abnormal value, the data in FIG. 2 is the data before filtering, and the data in FIG. 5 is the data after filtering, so that it can be obviously seen that the filtered data is stable and accurate.
Claims (3)
1. The method for acquiring the total weight of the hybrid heavy commercial vehicle is characterized by comprising the following steps of:
step one, collecting a total automobile weight value in (t) of the hybrid heavy commercial vehicle at the current moment;
step two, comparing the collected total weight value in (t) of the automobile with the filtered total weight value out (t-1) of the automobile at the previous moment to obtain a relation parameter b;
b is 1 if in (t) > out (t-1), and b is 0 if in (t) ≦ out (t-1);
step three, optimizing a historical temporary array H (t-1) at the previous moment by using the total automobile weight value in (t) at the current moment and the relation parameter b to obtain a historical temporary array H (t) at the current moment; wherein, H (t-1) { H1, H2, …, hn };
3.1) updating H (t-1) by using the total automobile weight value in (t) and the relation parameter b to obtain a temporary intermediate history array H (t);
if b is 1, replacing the maximum value hn in H (t-1) with in (t) to obtain an intermediate history temporary array H (t) ', H (t)' (H1, H2, …, in (t)) };
if b is 0, replacing the minimum value H1 in H (t-1) with in (t), obtaining an intermediate history temporary array H (t), H (t) ═ in (t), H2, …, hn };
3.2) sorting the n values in the intermediate historical temporary array H (t)) from small to large to obtain the historical temporary array H (t) at the current moment;
and fourthly, eliminating the maximum value and the minimum value in the historical temporary array H (t) at the current moment, taking the average value of the rest n-2 values as the filtering output out (t) at the current moment, wherein the filtering output out (t) at the current moment is the total weight value of the automobile filtered at the current moment.
2. The method for obtaining the total weight of the hybrid heavy commercial vehicle as claimed in claim 1, wherein: in the first step, the total automobile weight value in (t) of the hybrid heavy commercial vehicle at the current moment is calculated through the longitudinal stress and the longitudinal acceleration change of the vehicle.
3. The method for obtaining the total weight of the hybrid heavy commercial vehicle as claimed in claim 1, wherein: in step three, n is 10.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115140070A (en) * | 2022-07-14 | 2022-10-04 | 东风商用车有限公司 | AMT gear shift control-based whole vehicle mass estimation method |
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| CN102985725A (en) * | 2010-07-09 | 2013-03-20 | 斯堪尼亚商用车有限公司 | Method and device for estimation of weight of a vehicle |
| CN106891896A (en) * | 2017-03-27 | 2017-06-27 | 中国第汽车股份有限公司 | A kind of commercial car automatic mechanical transmission load recognizes computational methods |
| CN109030019A (en) * | 2018-06-20 | 2018-12-18 | 吉林大学 | A kind of On-line Estimation method of car mass |
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- 2021-09-18 CN CN202111112638.0A patent/CN113918888A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120209503A1 (en) * | 2009-11-03 | 2012-08-16 | Zf Friedrichshafen Ag | Method for initializing the mass of a motor vehicle |
| CN102985725A (en) * | 2010-07-09 | 2013-03-20 | 斯堪尼亚商用车有限公司 | Method and device for estimation of weight of a vehicle |
| CN106891896A (en) * | 2017-03-27 | 2017-06-27 | 中国第汽车股份有限公司 | A kind of commercial car automatic mechanical transmission load recognizes computational methods |
| CN109030019A (en) * | 2018-06-20 | 2018-12-18 | 吉林大学 | A kind of On-line Estimation method of car mass |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115140070A (en) * | 2022-07-14 | 2022-10-04 | 东风商用车有限公司 | AMT gear shift control-based whole vehicle mass estimation method |
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