New energy heavy truck logistics intelligent optimization management system

Abstract

The invention discloses a new energy heavy truck logistics intelligent optimization management system, which relates to the field of battery management and comprises a static battery pack transmitting end voltage signal analysis execution module and a dynamic battery pack receiving end voltage signal monitoring module. According to the new energy heavy truck logistics intelligent optimization management system provided by the invention, the dynamic voltage receiving end voltage intensity acquisition unit and the dynamic voltage receiving end voltage signal intensity measurement and analysis unit cooperate with each other; voltage intensity parameters of a battery pack receiving end are accurately fed back through a voltage sensor and are scientifically compared with a receiving end voltage intensity threshold value, so that voltage intensity characteristics of the battery pack measuring receiving end are accurately monitored, and accurate feedback in the battery pack voltage measuring process is achieved. And the battery pack temperature control operation result judging and processing unit is used for accurately monitoring the temperature control operation result of the battery pack temperature control system and improving the accurate temperature control of the battery pack operation system.

Description

Technical Field

[0001] The present invention relates to battery management technology, and in particular to an intelligent optimization management system for new energy heavy-duty truck logistics. Background Art

[0002] New energy heavy trucks refer to heavy trucks that use clean energy as power. They are a type of new energy vehicle. In recent years, with the improvement of environmental awareness and the adjustment of energy structure, the new energy heavy truck industry has developed rapidly. However, the development of the new energy heavy truck industry also faces some challenges, one of which is the lack of charging facilities. The insufficient number of charging piles and the slow charging speed have become one of the obstacles to curbing the development of the industry. Therefore, in order to meet the charging needs of new energy heavy trucks and improve their operating efficiency, the mobile charging control system of new energy heavy trucks is of great significance.

[0003] At present, the overall development of electric vehicle battery packs is towards high endurance (high energy density) and fast charging (high charging rate). As the energy density of the battery pack system increases, the gap between the cells becomes narrow and the heat dissipation area is extremely limited. Due to the performance of key heat transfer components, the current practical battery management technology is difficult to take into account both the energy density of the battery pack and the battery management performance, which is one of the reasons for the frequent spontaneous combustion of electric vehicles. In existing literature, the effect of battery management is generally too idealistic: the rigid and tight fit between the battery and the metal heat transfer element has practical engineering problems such as excessive thermal resistance, thermal grease shedding, battery casing wear, and insulation.

[0004] However, during the current system use, since electronic components usually integrate various high-frequency circuits, digital circuits and analog circuits, the electronic components will generate a large amount of electromagnetic waves when working. Therefore, the electronic components and other electronic components will generate electromagnetic interference (EMI) with each other, which not only affects the functions of the electronic components, but also causes the circuit to heat up. Therefore, precise battery pack temperature control is required. Summary of the invention

[0005] The purpose of the present invention is to provide a new energy heavy truck logistics intelligent optimization management system to solve the above-mentioned deficiencies in the prior art.

[0006] In order to achieve the above object, the present invention provides the following technical solution: a new energy heavy truck logistics intelligent optimization management system, which includes the following steps:

[0007] S1, collecting battery pack ambient temperature data and battery pack ambient electromagnetic intensity data;

[0008] S2, performing data preprocessing on the battery pack ambient temperature data and the ambient electromagnetic intensity data, and generating standard battery pack ambient temperature data and standard battery pack ambient electromagnetic intensity data;

[0009] S3, using a data recognition algorithm to analyze and match the standard battery pack ambient temperature data and the standard battery pack ambient electromagnetic intensity data, respectively, to construct and output the specific standard electromagnetic intensity interval data of the static voltage transmitter;

[0010] S4, executing the operation of transmitting a temperature control signal at the static voltage transmitting end according to the specific standard electromagnetic intensity interval data of the static voltage transmitting end;

[0011] S5. When the static voltage transmitting end transmits the temperature control signal, the voltage intensity data of the dynamic voltage receiving end is collected;

[0012] S6, comparing the voltage strength data of the dynamic voltage receiving end with the voltage strength threshold data of the dynamic voltage receiving end, and analyzing and constructing a voltage signal strength measurement result of the dynamic voltage receiving end according to the voltage strength comparison result of the dynamic voltage receiving end;

[0013] S7. Analyze and determine the battery pack temperature control operation result data based on the voltage signal strength measurement result of the dynamic voltage receiving terminal and process it.

[0014] Furthermore, the S1 comprises the following steps:

[0015] S11, collecting the temperature of the environment in which the liquid-cooled power battery pack is located online through a temperature sensor and generating battery pack ambient temperature data, where the battery pack ambient temperature data is in degrees Celsius;

[0016] S12. Collect the electromagnetic intensity of the environment in which the battery pack is located online through an electromagnetic intensity measuring instrument and generate battery pack environment electromagnetic intensity data, where the unit of the battery pack environment electromagnetic intensity data is Tesla / meter.

[0017] Further, the S2 comprises the following steps:

[0018] An adaptive filtering method is used to perform data noise reduction preprocessing on the battery pack ambient temperature data and the battery pack measured ambient electromagnetic intensity data, respectively. After the data noise reduction preprocessing, standard battery pack measured ambient temperature data and standard battery pack ambient electromagnetic intensity data are generated. The unit of the standard battery pack measured ambient temperature data is Celsius, and the unit of the standard battery pack ambient electromagnetic intensity data is Tesla / meter.

[0019] Furthermore, S3 comprises the following steps:

[0020] S31, obtaining the standard battery pack environment temperature data and the standard battery pack environment electromagnetic intensity data;

[0021] S32. Establishing a data set of standard ambient temperature and electromagnetic intensity intervals at the static voltage transmitter

[0022]

[0023] in T n Indicates the standard ambient temperature range of the nth static voltage transmitter, Indicates the maximum value of the number of standard ambient temperature intervals for the static voltage transmitter. The standard ambient temperature interval T 1 to The corresponding ambient temperature values ​​increase in sequence; m 1 =1,2,3,…,θ 1 , Indicates the standard ambient temperature range T of the static voltage transmitter 1 The corresponding mth 1 The standard electromagnetic intensity interval data of the static voltage transmitting end, θ 1 Indicates the standard ambient temperature range T of the static voltage transmitter 1 The maximum value of the corresponding static voltage transmitter standard electromagnetic intensity interval data quantity, The unit is Tesla / meter; m n =1,2,3,…,θ n , Indicates the mth corresponding to the standard ambient temperature range Tn of the static voltage transmitter n The standard electromagnetic intensity interval data of the static voltage transmitting end, θ n Indicates the maximum value of the number of data in the standard electromagnetic intensity interval of the static voltage transmitter corresponding to the standard ambient temperature interval Tn of the static voltage transmitter. The unit is Tesla / meter; Indicates the standard ambient temperature range of the static voltage transmitter The corresponding The standard electromagnetic intensity interval data of the static voltage transmitting end, Indicates the standard ambient temperature range of the static voltage transmitter The maximum value of the corresponding static voltage transmitter standard electromagnetic intensity interval data quantity, The unit is Tesla / meter;

[0024] S33, using a data recognition algorithm to identify the measured ambient temperature data of the standard battery pack, the ambient electromagnetic intensity data of the standard battery pack, and the static voltage transmitter standard ambient temperature and electromagnetic intensity interval data set. n And static voltage transmitter standard electromagnetic intensity interval data According to the temperature data and electromagnetic intensity data, the standard electromagnetic intensity interval data of the static voltage transmitter is matched. The standard electromagnetic intensity interval data of the static voltage transmitting end matched by the data recognition algorithm Perform matching scoring, which specifically includes the following steps:

[0025] E1, filter out useless features in the feature information of the finished model vector, use the sigmoid activation function as the gate state, and then multiply it with the feature of the finished model vector by the tanh activation function to obtain the feature screening of the gate unit;

[0026] E2, use the attention mechanism to strengthen the key vector feature information in the electromagnetic intensity interval database, and obtain the embedding vector t and the feature representation of the text according to the vector feature type. Through tT, each feature in the text is scored to perceive the important information in the text, as shown in the following formula:

[0027]

[0028] Where ɑk represents the feature score, m represents the number of features, d represents the dth feature, and tT represents the feature vector parameter;

[0029] E3, the electromagnetic intensity interval database after evaluation can be expressed as H′ att , as shown below:

[0030]

[0031] where H′ att =[h′ 1 , h′ 2 , h′ 3 ......h′ m ],α=[α 1 , α 2 , α 3 ...α m ] is the attention vector, is the vector matrix of the electromagnetic intensity interval database;

[0032] E4, query representation is obtained by the vector feature information fusion module and the characteristic representation H′ of the electromagnetic intensity interval database att=[h′ 1 , h′ 2 , h′ 3 ......h′ m ], and then calculate it through the maximum similarity, through and H′ att The score Score between the queried electromagnetic intensity interval data and the electromagnetic intensity interval database can be calculated, which is the sum of the maximum similarities represented by each finished product model vector queried and each electromagnetic intensity interval data working vector in the electromagnetic intensity interval database, as shown in the following formula:

[0033]

[0034] in Indicates that there are m query results to be matched, H′ att It means that the electromagnetic intensity interval database has n features, represents the i-th query result to be matched, h′ j represents the jth feature in the electromagnetic intensity interval database;

[0035] S34, all the static voltage transmitting end standard electromagnetic intensity interval data outputted from step S33 Identify and generate specific standard electromagnetic intensity interval data of the static voltage transmitting end and establish a specific standard electromagnetic intensity interval data set of the static voltage transmitting end;

[0036] S35, outputting the generated specific standard electromagnetic intensity interval data set of the static voltage transmitting end.

[0037] Further, the S4 comprises the following steps:

[0038] The temperature control signal transmission operation is performed at the static voltage transmitting end of the battery pack in order according to the specific standard electromagnetic intensity interval data of the static voltage transmitting end in the specific standard electromagnetic intensity interval data set according to the magnitude of the electromagnetic intensity values.

[0039] Further, the S5 comprises the following steps:

[0040] When the static voltage transmitting end of the battery pack performs the temperature control signal transmission operation, the dynamic receiving end voltage of the battery pack is collected online through the voltage sensor to receive the induced voltage strength generated by the static voltage transmitting end performing the temperature control signal transmission operation, and the induced voltage strength is marked to generate dynamic voltage receiving end voltage strength data V, where V is in volts.

[0041] Further, the S6 comprises the following steps:

[0042] S61, establishing voltage intensity threshold data VD of a dynamic voltage receiving terminal, wherein the voltage intensity threshold data VD of a dynamic voltage receiving terminal indicates the minimum voltage intensity data received by the dynamic voltage receiving terminal to satisfy the normal battery temperature control operation of the battery pack, and the unit of VD is volt;

[0043] S62, comparing the voltage strength data V of the dynamic voltage receiving end with the voltage strength threshold data VD of the dynamic voltage receiving end, and analyzing and constructing a voltage signal strength measurement result of the dynamic voltage receiving end according to the voltage strength comparison result of the dynamic voltage receiving end;

[0044] When V ≥ VD, it means that the voltage strength received by the dynamic voltage receiving end meets the normal temperature control operation of the battery pack, and the measurement result of the voltage signal strength of the output dynamic voltage receiving end is satisfied;

[0045] When V<VD, it means that the voltage strength received by the dynamic voltage receiving end does not meet the normal temperature control operation of the battery pack, and the measurement result of the voltage signal strength of the output dynamic voltage receiving end is not satisfied.

[0046] Further, the S7 comprises the following steps:

[0047] When the voltage signal strength measurement result of the dynamic voltage receiving end is satisfied, the battery pack temperature control operation result data indicates that the battery pack has completed the current temperature control operation, and the current temperature control operation ends;

[0048] When the voltage signal strength measurement result of the dynamic voltage receiving end is not satisfied, the battery pack temperature control operation result data indicates that the battery pack has not completed this temperature control operation, and the next static voltage transmitting end specific standard electromagnetic strength interval data in the static voltage transmitting end specific standard electromagnetic strength interval data set is selected to re-execute the temperature control operation at the static voltage transmitting end of the battery pack.

[0049] A new energy heavy truck logistics intelligent optimization management system, the battery pack includes a battery pack environmental parameter acquisition module, a static battery pack transmitting end voltage signal analysis execution module, and a dynamic battery pack receiving end voltage signal monitoring module.

[0050] Compared with the prior art, the present invention provides an intelligent optimization management system for new energy heavy-duty truck logistics, which cooperates with the dynamic voltage receiving end voltage strength acquisition unit and the dynamic voltage receiving end voltage signal strength measurement and analysis unit, and accurately feeds back the voltage strength parameters of the battery pack receiving end through the voltage sensor and scientifically compares it with the receiving end voltage strength threshold, thereby realizing accurate monitoring of the battery pack measurement receiving end voltage strength characteristics and accurate feedback of the battery pack voltage measurement process; the battery pack temperature control operation result judgment processing unit accurately monitors the temperature control operation results of the battery pack temperature control system, thereby improving the temperature control accuracy and operation safety of the battery pack temperature control operation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0052] Figure 1 A schematic diagram of the overall method flow provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0054] See also Figure 1 , a new energy heavy truck logistics intelligent optimization management system, comprising the following steps:

[0055] S1, collecting battery pack ambient temperature data and battery pack ambient electromagnetic intensity data;

[0056] S2, performing data preprocessing on the battery pack ambient temperature data and the ambient electromagnetic intensity data, and generating standard battery pack ambient temperature data and standard battery pack ambient electromagnetic intensity data;

[0057] S3, using a data recognition algorithm to analyze and match the standard battery pack ambient temperature data and the standard battery pack ambient electromagnetic intensity data, respectively, to construct and output the specific standard electromagnetic intensity interval data of the static voltage transmitter;

[0058] S4, executing the operation of transmitting the temperature control signal of the static voltage transmitting end according to the specific standard electromagnetic intensity interval data of the static voltage transmitting end;

[0059] S5. When the static voltage transmitting end transmits the temperature control signal, the voltage intensity data of the dynamic voltage receiving end is collected;

[0060] S6, comparing the voltage strength data of the dynamic voltage receiving end with the voltage strength threshold data of the dynamic voltage receiving end, and analyzing and constructing a voltage signal strength measurement result of the dynamic voltage receiving end according to the voltage strength comparison result of the dynamic voltage receiving end;

[0061] S7. Analyze and determine the battery pack temperature control operation result data based on the voltage signal strength measurement result of the dynamic voltage receiving end and process it.

[0062] S1 includes the following steps:

[0063] S11, collecting the temperature of the environment in which the liquid-cooled power battery pack is located online through a temperature sensor and generating battery pack ambient temperature data, where the battery pack ambient temperature data is in degrees Celsius;

[0064] S12. Collect the electromagnetic intensity of the environment in which the battery pack is located online through an electromagnetic intensity measuring instrument and generate battery pack environment electromagnetic intensity data, where the unit of the battery pack environment electromagnetic intensity data is Tesla / meter.

[0065] S2 includes the following steps:

[0066] The adaptive filtering method is used to perform data denoising preprocessing on the battery pack ambient temperature data and the battery pack measured ambient electromagnetic intensity data respectively. After the data denoising preprocessing, standard battery pack measured ambient temperature data and standard battery pack ambient electromagnetic intensity data are generated. The unit of the standard battery pack measured ambient temperature data is Celsius, and the unit of the standard battery pack ambient electromagnetic intensity data is Tesla / meter.

[0067] S3 includes the following steps:

[0068] S31, obtaining standard battery pack ambient temperature data and standard battery pack ambient electromagnetic intensity data;

[0069] S32. Establishing a data set of standard ambient temperature and electromagnetic intensity intervals at the static voltage transmitter

[0070]

[0071] in T n Indicates the standard ambient temperature range of the nth static voltage transmitter, Indicates the maximum value of the number of standard ambient temperature intervals for the static voltage transmitter. The standard ambient temperature interval T 1 to The corresponding ambient temperature values ​​increase in sequence; m 1 =1,2,3,…,θ 1

[0072] , Indicates the standard ambient temperature range T of the static voltage transmitter 1 The corresponding mth 1 The standard electromagnetic intensity interval data of the static voltage transmitting end, θ 1 Indicates the standard ambient temperature range T of the static voltage transmitter 1 The maximum value of the corresponding static voltage transmitter standard electromagnetic intensity interval data quantity, The unit is Tesla / meter; m n =1,2,3,…,θ n , Indicates the standard ambient temperature range T of the static voltage transmitter n The corresponding mth n The standard electromagnetic intensity interval data of the static voltage transmitting end, θ n Indicates the standard ambient temperature range T of the static voltage transmitter n The maximum value of the corresponding static voltage transmitter standard electromagnetic intensity interval data quantity, The unit is Tesla / meter; Indicates the standard ambient temperature range of the static voltage transmitter The corresponding The standard electromagnetic intensity interval data of the static voltage transmitting end, Indicates the standard ambient temperature range of the static voltage transmitter The maximum value of the corresponding static voltage transmitter standard electromagnetic intensity interval data quantity, The unit is Tesla / meter;

[0073] S33, using a data recognition algorithm to identify the standard battery pack measured ambient temperature data, the standard battery pack ambient electromagnetic intensity data and the static voltage transmitter standard ambient temperature and electromagnetic intensity interval data set. n And static voltage transmitter standard electromagnetic intensity interval data According to the temperature data and electromagnetic intensity data, the standard electromagnetic intensity interval data of the static voltage transmitter is matched. The standard electromagnetic intensity interval data of the static voltage transmitting end matched by the data recognition algorithm Perform matching scoring, which specifically includes the following steps:

[0074] E1, filter out useless features in the feature information of the finished model vector, use the sigmoid activation function as the gate state, and then multiply it with the feature of the finished model vector by the tanh activation function to obtain the feature screening of the gate unit;

[0075] E2, use the attention mechanism to strengthen the key vector feature information in the electromagnetic intensity interval database, and obtain the embedding vector t and the feature representation of the text according to the vector feature type. Through tT, each feature in the text is scored to perceive the important information in the text, as shown in the following formula:

[0076]

[0077] Where ɑk represents the feature score, m represents the number of features, d represents the dth feature, and tT represents the feature vector parameter;

[0078] E3, the electromagnetic intensity interval database after evaluation can be expressed as H′ att , as shown below:

[0079]

[0080] where H′ att =[h′ 1 , h′ 2 , h′ 3 ......h′ m ],α=[α 1 , α 2 , α 3 ......α m ] is the attention vector, is the vector matrix of the electromagnetic intensity interval database;

[0081] E4, query representation is obtained by the vector feature information fusion module and the characteristic representation H′ of the electromagnetic intensity interval database att =[h′ 1 , h′ 2 , h′ 3 ......h′ m ], and then calculate it through the maximum similarity, through and H′ att The score Score between the queried electromagnetic intensity interval data and the electromagnetic intensity interval database can be calculated, which is the sum of the maximum similarities represented by each finished product model vector queried and each electromagnetic intensity interval data working vector in the electromagnetic intensity interval database, as shown in the following formula:

[0082]

[0083] in Indicates that there are m query results to be matched, H′ att It means that the electromagnetic intensity interval database has n features, represents the i-th query result to be matched, h′ j represents the jth feature in the electromagnetic intensity interval database;

[0084] S34, all the static voltage transmitting end standard electromagnetic intensity interval data outputted from step S33 Identify and generate specific standard electromagnetic intensity interval data of the static voltage transmitting end and establish a specific standard electromagnetic intensity interval data set of the static voltage transmitting end;

[0085] S35, outputting the generated specific standard electromagnetic intensity interval data set of the static voltage transmitting end.

[0086] S4 includes the following steps:

[0087] According to the specific standard electromagnetic intensity interval data of the static voltage transmitting end in the specific standard electromagnetic intensity interval data set, the temperature control signal transmission operation is performed at the static voltage transmitting end of the battery pack in order according to the electromagnetic intensity value.

[0088] S5 includes the following steps:

[0089] When the static voltage transmitting end of the battery pack performs the temperature control signal transmission operation, the dynamic receiving end voltage of the battery pack is collected online through the voltage sensor to receive the induced voltage strength generated by the static voltage transmitting end performing the temperature control signal transmission operation, and the induced voltage strength is marked to generate dynamic voltage receiving end voltage strength data V, where V is in volts.

[0090] S6 includes the following steps:

[0091] S61, establish dynamic voltage receiving terminal voltage intensity threshold data V D The voltage strength threshold data of the dynamic voltage receiving terminal indicates the minimum voltage strength data received by the dynamic voltage receiving terminal to meet the normal battery temperature control operation of the battery pack, V D The unit is volt;

[0092] S62: compare the dynamic voltage receiving end voltage strength data V with the dynamic voltage receiving end voltage strength threshold data V D Performing a voltage strength value comparison of the dynamic voltage receiving end, and analyzing and constructing a voltage signal strength measurement result of the dynamic voltage receiving end according to the voltage strength value comparison result of the dynamic voltage receiving end;

[0093] When V ≥ V D , indicating that the voltage strength received by the dynamic voltage receiving end meets the requirements for the battery pack to perform temperature control normally, then the output dynamic voltage receiving end voltage signal strength measurement result is satisfied;

[0094] When V<V D , indicating that the voltage strength received by the dynamic voltage receiving end does not meet the normal temperature control operation of the battery pack, and the output dynamic voltage receiving end voltage signal strength measurement result is not satisfied.

[0095] S7 includes the following steps:

[0096] When the voltage signal strength measurement result of the dynamic voltage receiving end is satisfied, the battery pack temperature control operation result data indicates that the battery pack has completed the current temperature control operation, and the current temperature control operation ends;

[0097] When the voltage signal strength measurement result of the dynamic voltage receiving end is not satisfied, the battery pack temperature control operation result data indicates that the battery pack has not completed this temperature control operation, and the next static voltage transmitting end specific standard electromagnetic strength interval data in the static voltage transmitting end specific standard electromagnetic strength interval data set is selected to re-execute the temperature control operation at the static voltage transmitting end of the battery pack.

[0098] The battery pack environment temperature data acquisition unit and the battery pack environment electromagnetic strength data acquisition unit cooperate with each other, and the temperature and interference electromagnetic strength parameters of the battery pack working environment are accurately collected in real time through the temperature sensor and the electromagnetic strength measuring instrument, so as to provide data support for the subsequent accurate adjustment of the electromagnetic strength of the static voltage transmitting end of the battery pack, thereby improving the measurement accuracy of the battery pack; the battery pack environment temperature data preprocessing output unit adopts the adaptive filtering method to perform data noise reduction on the collected temperature and interference electromagnetic strength parameters of the battery pack working environment, thereby improving the reliability of the collection of the battery working environment temperature and interference electromagnetic strength parameters; at the same time, the dynamic voltage receiving end voltage strength acquisition unit and the dynamic voltage receiving end voltage signal strength measurement and analysis unit cooperate with each other, and the voltage sensor is used to accurately feedback the voltage strength parameters of the battery pack receiving end and scientifically compare them with the voltage strength threshold of the receiving end, thereby realizing accurate monitoring of the voltage strength characteristics of the battery pack measuring receiving end and realizing accurate feedback of the battery pack voltage measurement process; the battery pack temperature control operation result judgment processing unit accurately monitors the temperature control operation results of the battery pack temperature control system, thereby improving the temperature control accuracy and operation safety of the battery pack temperature control operation system.

[0099] A new energy heavy truck logistics intelligent optimization management system, the battery pack includes a battery pack environmental parameter acquisition module, a static battery pack transmitting end voltage signal analysis execution module, and a dynamic battery pack receiving end voltage signal monitoring module.

[0100] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. An intelligent optimization management system for new energy heavy truck logistics, characterized in that: The steps include: S1, collecting battery pack ambient temperature data and battery pack ambient electromagnetic intensity data; S2, performing data preprocessing on the battery pack ambient temperature data and the ambient electromagnetic intensity data, and generating standard battery pack ambient temperature data and standard battery pack ambient electromagnetic intensity data; S3, using a data recognition algorithm to analyze and match the standard battery pack ambient temperature data and the standard battery pack ambient electromagnetic intensity data, respectively, to construct and output the specific standard electromagnetic intensity interval data of the static voltage transmitter; S4, executing the operation of transmitting a temperature control signal at the static voltage transmitting end according to the specific standard electromagnetic intensity interval data of the static voltage transmitting end; S5. When the static voltage transmitting end transmits the temperature control signal, the voltage intensity data of the dynamic voltage receiving end is collected; S6, comparing the voltage strength data of the dynamic voltage receiving end with the voltage strength threshold data of the dynamic voltage receiving end, and analyzing and constructing a voltage signal strength measurement result of the dynamic voltage receiving end according to the voltage strength comparison result of the dynamic voltage receiving end; S7. Analyze and determine the battery pack temperature control operation result data based on the voltage signal strength measurement result of the dynamic voltage receiving terminal and process it.

2. According to claim 1, the intelligent optimization management system for new energy heavy truck logistics is characterized in that: It is characterized in that: said S1 comprises the following steps: S11, collecting the temperature of the environment in which the liquid-cooled power battery pack is located online through a temperature sensor and generating battery pack ambient temperature data, where the battery pack ambient temperature data is in degrees Celsius; S12. Collect the electromagnetic intensity of the environment in which the battery pack is located online through an electromagnetic intensity measuring instrument and generate battery pack environment electromagnetic intensity data, where the unit of the battery pack environment electromagnetic intensity data is Tesla / meter.

3. The intelligent optimization management system for logistics of new energy heavy trucks according to claim 1 is characterized in that: The S2 comprises the following steps: An adaptive filtering method is used to perform data noise reduction preprocessing on the battery pack ambient temperature data and the battery pack measured ambient electromagnetic intensity data, respectively. After the data noise reduction preprocessing, standard battery pack measured ambient temperature data and standard battery pack ambient electromagnetic intensity data are generated. The unit of the standard battery pack measured ambient temperature data is Celsius, and the unit of the standard battery pack ambient electromagnetic intensity data is Tesla / meter.

4. The intelligent optimization management system for logistics of new energy heavy trucks according to claim 3 is characterized in that: The S3 comprises the following steps: S31, obtaining the standard battery pack environment temperature data and the standard battery pack environment electromagnetic intensity data; S32. Establishing a data set of standard ambient temperature and electromagnetic intensity intervals at the static voltage transmitter in T n Indicates the standard ambient temperature range of the nth static voltage transmitter, Indicates the maximum value of the number of standard ambient temperature intervals for the static voltage transmitter. The standard ambient temperature interval for the static voltage transmitter is T1 to The corresponding ambient temperature values ​​increase in sequence; m1=1,2,3,…,θ1, represents the m1th static voltage transmitter standard electromagnetic intensity interval data corresponding to the static voltage transmitter standard ambient temperature interval T1, θ1 represents the maximum value of the static voltage transmitter standard electromagnetic intensity interval data corresponding to the static voltage transmitter standard ambient temperature interval T1, The unit is Tesla / meter; m n =1,2,3,…,θ n , Indicates the standard ambient temperature range T of the static voltage transmitter n The corresponding mth n The standard electromagnetic intensity interval data of the static voltage transmitting end, θ n Indicates the standard ambient temperature range T of the static voltage transmitter n The maximum value of the corresponding static voltage transmitter standard electromagnetic intensity interval data quantity, The unit is Tesla / meter; Indicates the standard ambient temperature range of the static voltage transmitter The corresponding The standard electromagnetic intensity interval data of the static voltage transmitting end, Indicates the standard ambient temperature range of the static voltage transmitter The maximum value of the corresponding static voltage transmitter standard electromagnetic intensity interval data quantity, The unit is Tesla / meter; S33, using a data recognition algorithm to identify the measured ambient temperature data of the standard battery pack, the ambient electromagnetic intensity data of the standard battery pack, and the static voltage transmitter standard ambient temperature and electromagnetic intensity interval data set. n And static voltage transmitter standard electromagnetic intensity interval data According to the temperature data and electromagnetic intensity data, the standard electromagnetic intensity interval data of the static voltage transmitter is matched. The standard electromagnetic intensity interval data of the static voltage transmitting end matched by the data recognition algorithm Perform matching scoring, which specifically includes the following steps: E1, filter out useless features in the feature information of the finished model vector, use the sigmoid activation function as the gate state, and then multiply it with the feature of the finished model vector by the tanh activation function to obtain the feature screening of the gate unit; E2, use the attention mechanism to strengthen the key vector feature information in the electromagnetic intensity interval database, and obtain the embedding vector t and the feature representation of the text according to the vector feature type. By t T , score each feature in the text to perceive the important information in the text, as shown in the following formula: Among them k represents the feature score, m represents the number of features, d represents the dth feature, t T represents the eigenvector parameter; E3, the electromagnetic intensity interval database after evaluation can be expressed as H′ att , as shown below: where H′ att =[h′1, h′2, h′3...h′ m ],α=[α 1 , α 2 , α 3 ......α m ] is the attention vector, is the vector matrix of the electromagnetic intensity interval database; E4, query representation is obtained by the vector feature information fusion module and the characteristic representation H′ of the electromagnetic intensity interval database att =[h′1, h′2, h′3...h′ m ], and then calculate it through the maximum similarity, through and H′ att The score Score between the queried electromagnetic intensity interval data and the electromagnetic intensity interval database can be calculated, which is the sum of the maximum similarities represented by each finished product model vector queried and each electromagnetic intensity interval data working vector in the electromagnetic intensity interval database, as shown in the following formula: in Indicates that there are m query results to be matched, H′ att It means that the electromagnetic intensity interval database has n features, represents the i-th query result to be matched, h′ j represents the jth feature in the electromagnetic intensity interval database; S34, all the static voltage transmitting end standard electromagnetic intensity interval data outputted from step S33 Identify and generate specific standard electromagnetic intensity interval data of the static voltage transmitting end and establish a specific standard electromagnetic intensity interval data set of the static voltage transmitting end; S35, outputting the generated specific standard electromagnetic intensity interval data set of the static voltage transmitting end.

5. The intelligent optimization management system for logistics of new energy heavy trucks according to claim 4 is characterized in that: The S4 comprises the following steps: The temperature control signal transmission operation is performed at the static voltage transmitting end of the battery pack in order according to the specific standard electromagnetic intensity interval data of the static voltage transmitting end in the specific standard electromagnetic intensity interval data set according to the magnitude of the electromagnetic intensity values.

6. The intelligent optimization management system for logistics of new energy heavy trucks according to claim 5 is characterized in that: The S5 comprises the following steps: When the static voltage transmitting end of the battery pack performs the temperature control signal transmission operation, the dynamic receiving end voltage of the battery pack is collected online through the voltage sensor to receive the induced voltage strength generated by the static voltage transmitting end performing the temperature control signal transmission operation, and the induced voltage strength is marked to generate dynamic voltage receiving end voltage strength data V, where V is in volts.

7. The intelligent optimization management system for logistics of new energy heavy trucks according to claim 6 is characterized by: The S6 comprises the following steps: S61, establish dynamic voltage receiving terminal voltage intensity threshold data V D The voltage strength threshold data of the dynamic voltage receiving terminal indicates the minimum voltage strength data received by the dynamic voltage receiving terminal to meet the normal battery temperature control operation of the battery pack, V D The unit is volt; S62: compare the voltage intensity data V of the dynamic voltage receiving end with the voltage intensity threshold data V of the dynamic voltage receiving end. D Performing a voltage strength value comparison of the dynamic voltage receiving end, and analyzing and constructing a voltage signal strength measurement result of the dynamic voltage receiving end according to the voltage strength value comparison result of the dynamic voltage receiving end; When V ≥ V D , indicating that the voltage strength received by the dynamic voltage receiving end meets the requirements for the battery pack to perform temperature control normally, then the output dynamic voltage receiving end voltage signal strength measurement result is satisfied; When V<V D , indicating that the voltage strength received by the dynamic voltage receiving end does not meet the normal temperature control operation of the battery pack, and the output dynamic voltage receiving end voltage signal strength measurement result is not satisfied.

8. The intelligent optimization management system for logistics of new energy heavy trucks according to claim 7 is characterized by: The S7 comprises the following steps: When the voltage signal strength measurement result of the dynamic voltage receiving end is satisfied, the battery pack temperature control operation result data indicates that the battery pack has completed the current temperature control operation, and the current temperature control operation ends; When the voltage signal strength measurement result of the dynamic voltage receiving end is not satisfied, the battery pack temperature control operation result data indicates that the battery pack has not completed this temperature control operation, and the next static voltage transmitting end specific standard electromagnetic strength interval data in the static voltage transmitting end specific standard electromagnetic strength interval data set is selected to re-execute the temperature control operation at the static voltage transmitting end of the battery pack.

9. A battery pack for realizing a new energy heavy truck logistics intelligent optimization management system as claimed in any one of claims 1 to 8, characterized in that: The battery pack comprises a battery pack environmental parameter acquisition module, a static battery pack transmitting end voltage signal analysis execution module, and a dynamic battery pack receiving end voltage signal monitoring module.

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