CN113218536A - Method for selecting temperature measuring point of battery pack of electric vehicle - Google Patents
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Abstract
The invention discloses a method for selecting temperature measuring points of an electric vehicle battery pack, which comprises the steps of sensor numbering, simulation working condition testing and temperature acquisition, temperature maximum value specification, acquisition of a first sequence of a maximum value and minimum value related temperature sensor, acquisition of a second sequence of the maximum value and minimum value related temperature sensor, acquisition of a temperature maximum value sampling array, calculation of temperature maximum value average deviation and temperature minimum value average deviation, judgment completion, adjustment of a temperature sensor sequence, step return and the like. The method provided by the invention is scientific and reasonable, clear in logic and easy to realize in programming, and can save the number of sensors as much as possible while meeting the temperature measurement requirement.
Description
Technical Field
The invention relates to the field of electric automobiles, in particular to a method for selecting a temperature measuring point of a battery pack of an electric automobile.
Background
Electric vehicles are widely concerned by people due to the advantages of environmental protection, comfort, high efficiency and the like, the power of the electric vehicles comes from battery packs, and the current battery packs are formed by connecting hundreds of lithium ion batteries in series and in parallel. The lithium ion battery pack needs to work in a proper temperature range, and the temperature difference of each battery cell in the battery pack cannot be too large. Therefore, on one hand, the battery pack needs to be cooled by using a liquid cooling or air cooling heat management mode and the like; on the other hand, the temperature sensors are needed to monitor the temperature of the battery cells at a plurality of positions in the battery pack on line, so that the highest temperature value and the lowest temperature value of each battery cell in the battery pack under various working conditions can be accurately obtained on line in real time as far as possible. Because the structural shapes, cooling manners and battery compartment designs of various battery packs are different, and the working condition of the same battery pack can change at any time, the cell positions corresponding to the highest temperature value and the lowest temperature value in the battery pack are not consistent, and the cell temperatures of a plurality of point positions need to be measured and compared to obtain the highest temperature value and the lowest temperature value. Because the temperature sensor needs to be electrically connected and communicated with the battery pack management chip, in order to save the total length of the wiring harness and the communication overhead and reduce the cost of the battery pack, representative temperature sensor measuring points which are as few as possible need to be selected. In the prior known technical scheme, the temperature measuring points of the battery pack are selected mainly by depending on the experience of designers, more temperature measuring point redundancies often appear for the sake of conservation, and the selected measuring points are difficult to cover the temperature measuring requirements under various factors.
Disclosure of Invention
In order to solve the technical problems, the invention provides the method for selecting the temperature measuring points of the battery pack of the electric vehicle, which has simple and clear logic, is easy to program and realize and is beneficial to fully saving the number of the measuring points. The technical scheme for solving the problems is as follows:
a method for selecting temperature measuring points of a battery pack of an electric vehicle is used for determining the number and the placement positions of temperature sensors in the battery pack in a battery pack product design stage, and comprises the following steps which are sequentially executed:
step 1, placing a temperature sensor on the surface of each electric core in a battery pack, and numbering all the temperature sensors in sequence;
step 2, starting the battery pack and a cooling system thereof, and simulating the battery packAnd (3) testing working conditions, wherein the surface temperature values of all the cells are acquired by the temperature sensors at fixed time intervals in the testing process, and finally recorded and sorted into a temperature acquisition value array T0：
Temperature collection value array T0In (1), any row represents a sampling result of a certain time, tnmRepresenting the temperature acquisition value of the temperature sensor with the number of m in the nth sampling;
step 3, sequentially carrying out temperature acquisition value array T0Analyzing the data of each row, respectively obtaining the maximum value and the minimum value of the sampling temperature of each row and the serial numbers of the temperature sensors corresponding to the maximum value and the minimum value of the sampling temperature of each row, and arranging to form a temperature maximum value reduction array T1：
Temperature maximum value reduction array T1In the above description, any row represents the maximum value and minimum value of the sampling temperature in a certain sampling result and the corresponding temperature sensor numbers (A)n,MAn) The maximum value of the sampling temperature of the nth sampling result is AnAnd the number of the corresponding temperature sensor is MAn，(Bn,MBn) The minimum value of the sampling temperature of the nth sampling result is BnAnd the number of the corresponding temperature sensor is MBn；
Step 4, aiming at the temperature maximum value reduction array T1All recorded temperature sensors corresponding to the maximum temperature value in single sampling are sorted from large to small according to the occurrence frequency to form a first sequence a of maximum value related temperature sensors, and a is [ Ma ]1,Ma2,…,Maj]Wherein MajIndicating the temperature sensor number ordered as the j-th bit; and reduces the array T according to the temperature maximum value1Temperature sensor corresponding to temperature minimum value in all recorded single samplingForming a first sequence b of minimum value related temperature sensors in a descending order according to the occurrence frequency, wherein b is [ Mb [ ]1,Mb2,…,Mbk]Where MbkA temperature sensor number indicating the kth order;
step 5, moving the serial number of the temperature sensor which is sequenced most forward out of the first sequence a of the maximum value correlation temperature sensor and into the second sequence a' of the maximum value correlation temperature sensor aiming at all elements in the first sequence a of the maximum value correlation temperature sensor; for all elements in the first minimum value correlation temperature sensor sequence b, moving the temperature sensor number which is sequenced most in front out of the first minimum value correlation temperature sensor sequence b and moving in a second minimum value correlation temperature sensor sequence b';
step 6, aiming at all sensor numbers in the second sequence a' of the maximum value correlation temperature sensor, acquiring a value array T from the temperature0Finding out the temperature collection values sampled by the temperature sensors in the sequence each time, counting the found temperature collection values to obtain the maximum value in the temperature collection values sampled each time, and arranging to form a temperature maximum value sampling array Tmax：
Acquiring an array of values T from the temperature for all sensor numbers in the second sequence b' of minimum-value-related temperature sensors0Finding out the temperature collection values sampled by the temperature sensors in the sequence each time, counting the found temperature collection values to obtain the minimum value in the temperature collection values sampled each time, and arranging to form a temperature minimum value sampling array Tmin：
Step 7, sampling array T of the maximum temperature value obtained in the step 6maxAnd temperature minimum value sampling array TminRespectively connected with the temperature maximum value reduction array obtained in the step 3T1Performing comparison operation to obtain the average deviation delta T of the maximum temperature valuemaxAnd temperature minimum mean deviation Δ Tmin：
In the formula (5), Ai' sampling array T for maximum temperaturemaxNumerical value of the ith row in, AiDefining an array T for the temperature maximum1Maximum value of sampled temperature in row i; in the formula (6), Bi' sampling array T for temperature minimummaxNumerical value of the ith row, BiDefining an array T for the temperature maximum1Minimum value of sampled temperature in row i;
step 8, average deviation Delta T of the maximum temperature valuemaxAnd the temperature maximum value average deviation discrimination value Delta CTmaxComparing and averaging the temperature and temperature minimum deviation delta TminAnd the minimum mean deviation of temperatureminBy comparison, if Δ Tmax≤ΔCTmaxAnd Δ Tmin≤ΔCΔTminIf so, ending the flow of all the steps, and outputting the serial numbers of all the temperature sensors in the second sequence a 'of the maximum value-related temperature sensor and the second sequence b' of the minimum value-related temperature sensor as the selection result of the temperature measuring point of the battery pack; otherwise, entering step 9;
and step 9, sequentially executing the following substeps:
substep (9.1) if Δ Tmax>ΔCTmaxIf so, moving the serial number of the temperature sensor which is sequenced most forward out of the first sequence a of the maximum value correlation temperature sensor and into the second sequence a' of the maximum value correlation temperature sensor aiming at all the remaining elements in the first sequence a of the maximum value correlation temperature sensor;
substep (9.2) if Δ Tmin>ΔCΔTminFor minimumMoving the serial number of the temperature sensor which is sequenced most front out of the first sequence b of the minimum value correlation temperature sensor and into the second sequence b' of the minimum value correlation temperature sensor;
substep (9.3), go to step 6.
In the above method for selecting the temperature measuring point of the battery pack of the electric vehicle, the simulation condition tests in the step 2 include, but are not limited to, constant current charging at different rates, constant current discharging at different rates, shelving, dynamic stress tests, urban road circulation condition tests, new european driving condition tests, and typical urban operation condition tests in china, and the combination and circulation of a plurality of tests in the above test methods.
In the above method for selecting the temperature measuring point of the battery pack of the electric vehicle, the temperature maximum average deviation discrimination value Δ CT in the step 8maxAnd the minimum mean deviation of temperatureminAre all judgment standards given by battery pack designers in advance according to design requirements, and are delta CTmaxAnd Δ C Δ TminThe values of (A) are all between 0.1 ℃ and 2 ℃.
The invention has the beneficial effects that:
1. the method for selecting the temperature measuring points of the battery pack of the electric automobile is based on the simulated working condition test, and a selection scheme of the positions and the number of the measuring points is obtained by analyzing and mining test data, so that the method is scientific, reasonable and reliable.
2. According to the invention, data specification is carried out based on the original temperature measurement result, so that the maximum value and the minimum value of the temperature of each test and the sensor number corresponding to the maximum value and the minimum value are obtained, and the data analysis amount is greatly reduced; on the basis, respectively counting to obtain the sensor numbers of the maximum value and the minimum value of the temperature recorded in single sampling and sequencing the sensor numbers according to the occurrence frequency from large to small; then preferentially selecting temperature measurement data of a sensor with high frequency and a data protocol result for comparison, and judging the average deviation of the temperature measurement data and the data protocol result: if the average deviation value reaches the set value, finishing the flow of all the steps, otherwise, correspondingly supplementing the temperature measurement data of the sensor with the highest frequency in other sensors and comparing the temperature measurement data with the data protocol result again, and circulating until the average deviation value reaches the set value. The mode can ensure that the temperature measurement result which accords with the whole temperature measurement deviation control target is achieved by the number of the sensors as few as possible.
3. The method for selecting the temperature measuring points of the battery pack of the electric automobile is scientific and reasonable, clear in logic, efficient in operation and easy to program.
Drawings
FIG. 1 is a flow chart of a method for selecting temperature measurement points of an electric vehicle battery pack according to the present invention.
The invention is further described below with reference to the figures and examples.
As shown in fig. 1, a method for selecting temperature measurement points of a battery pack of an electric vehicle, which is used for determining the number and placement positions of temperature sensors in the battery pack at a battery pack product design stage, comprises the following steps executed in sequence:
step 1, placing a temperature sensor on the surface of each electric core in a battery pack, and numbering all the temperature sensors in sequence;
step 2, starting the battery pack and a cooling system thereof, testing the battery pack under a simulated working condition, acquiring surface temperature values of all the battery cores through temperature sensors according to a fixed time interval in the testing process, and finally recording and arranging the surface temperature values into a temperature acquisition value array T0：
Temperature collection value array T0In (1), any row represents a sampling result of a certain time, tnmRepresenting the temperature acquisition value of the temperature sensor with the number of m in the nth sampling;
further, the simulation working condition test in the step 2 includes, but is not limited to, constant current charging at different multiplying powers, constant current discharging at different multiplying powers, shelving, dynamic stress test, urban road cycle working condition test, new european driving working condition test, chinese typical urban operation working condition test, and mutual combination and cycle of a plurality of tests in the above test methods;
step 3, sequentially carrying out temperature acquisition value array T0Analyzing the data of each row, respectively obtaining the maximum value and the minimum value of the sampling temperature of each row and the serial numbers of the temperature sensors corresponding to the maximum value and the minimum value of the sampling temperature of each row, and arranging to form a temperature maximum value reduction array T1：
Temperature maximum value reduction array T1In the above description, any row represents the maximum value and minimum value of the sampling temperature in a certain sampling result and the corresponding temperature sensor numbers (A)n,MAn) The maximum value of the sampling temperature of the nth sampling result is AnAnd the number of the corresponding temperature sensor is MAn，(Bn,MBn) The minimum value of the sampling temperature of the nth sampling result is BnAnd the number of the corresponding temperature sensor is MBn；
Step 4, aiming at the temperature maximum value reduction array T1All recorded temperature sensors corresponding to the maximum temperature value in single sampling are sorted from large to small according to the occurrence frequency to form a first sequence a of maximum value related temperature sensors, and a is [ Ma ]1,Ma2,…,Maj]Wherein MajIndicating the temperature sensor number ordered as the j-th bit; and reduces the array T according to the temperature maximum value1All recorded temperature sensors corresponding to the temperature minimum value in single sampling form a first sequence b of minimum value related temperature sensors according to the sequence of the occurrence frequency from large to small, wherein b is [ Mb [ ]1,Mb2,…,Mbk]Where MbkA temperature sensor number indicating the kth order;
step 5, moving the serial number of the temperature sensor which is sequenced most forward out of the first sequence a of the maximum value correlation temperature sensor and into the second sequence a' of the maximum value correlation temperature sensor aiming at all elements in the first sequence a of the maximum value correlation temperature sensor; for all elements in the first minimum value correlation temperature sensor sequence b, moving the temperature sensor number which is sequenced most in front out of the first minimum value correlation temperature sensor sequence b and moving in a second minimum value correlation temperature sensor sequence b';
step 6, aiming at all sensor numbers in the second sequence a' of the maximum value correlation temperature sensor, acquiring a value array T from the temperature0Finding out the temperature collection values sampled by the temperature sensors in the sequence each time, counting the found temperature collection values to obtain the maximum value in the temperature collection values sampled each time, and arranging to form a temperature maximum value sampling array Tmax：
Acquiring an array of values T from the temperature for all sensor numbers in the second sequence b' of minimum-value-related temperature sensors0Finding out the temperature collection values sampled by the temperature sensors in the sequence each time, counting the found temperature collection values to obtain the minimum value in the temperature collection values sampled each time, and arranging to form a temperature minimum value sampling array Tmin：
Step 7, sampling array T of the maximum temperature value obtained in the step 6maxAnd temperature minimum value sampling array TminRespectively comparing the obtained temperature maximum value with the temperature maximum value reduction array T obtained in the step 31Performing comparison operation to obtain the average deviation delta T of the maximum temperature valuemaxAnd temperature minimum mean deviation Δ Tmin：
In the formula (5), Ai' sampling array T for maximum temperaturemaxNumerical value of the ith row in, AiDefining an array T for the temperature maximum1Maximum value of sampled temperature in row i; in the formula (6), Bi' sampling array T for temperature minimummaxNumerical value of the ith row, BiDefining an array T for the temperature maximum1Minimum value of sampled temperature in row i;
step 8, average deviation Delta T of the maximum temperature valuemaxAnd the temperature maximum value average deviation discrimination value Delta CTmaxComparing and averaging the temperature and temperature minimum deviation delta TminAnd the minimum mean deviation of temperatureminBy comparison, if Δ Tmax≤ΔCTmaxAnd Δ Tmin≤ΔCΔTminIf so, ending the flow of all the steps, and outputting the serial numbers of all the temperature sensors in the second sequence a 'of the maximum value-related temperature sensor and the second sequence b' of the minimum value-related temperature sensor as the selection result of the temperature measuring point of the battery pack; otherwise, entering step 9;
further, the temperature maximum value average deviation determination value Δ CT in step 8maxAnd the minimum mean deviation of temperatureminAre all judgment standards given by battery pack designers in advance according to design requirements, and are delta CTmaxAnd Δ C Δ TminThe values of (A) are all between 0.1 ℃ and 2 ℃;
and step 9, sequentially executing the following substeps:
substep (9.1) if Δ Tmax>ΔCTmaxIf so, moving the serial number of the temperature sensor which is sequenced most forward out of the first sequence a of the maximum value correlation temperature sensor and into the second sequence a' of the maximum value correlation temperature sensor aiming at all the remaining elements in the first sequence a of the maximum value correlation temperature sensor;
substep (9.2) if Δ Tmin>ΔCΔTminFor all the remaining elements in the first minimum-value-related temperature sensor sequence b, the temperature sensor number which is ranked the first is shifted out of the first minimum-value-related temperature sensor sequence b andshifting a second sequence b' of the minimum correlation temperature sensor;
substep (9.3), go to step 6.
Examples
In a certain small-sized pure electric vehicle, a battery pack is composed of 1 and 60 series of lithium iron phosphate cores, and the cooling mode is air cooling. A temperature sensor is respectively arranged on the surface of each electric core in the battery pack, and all the temperature sensors are numbered as 1#, 2#, … … 60 #. In this embodiment, all temperature values are expressed in degrees celsius.
The battery pack and the cooling system thereof are started, the battery pack is subjected to simulation condition test, and the test items which are sequentially carried out are as follows: the method comprises The steps of constant-current charging to full power at a rate of 1C, standing for 1h, constant-current discharging to cut-off voltage at a rate of 1C, standing for 0.5h, constant-current charging to full power at a rate of 0.5C, Dynamic Stress Test (DST) of 10 cycles, Urban road Cycle condition Test (UDDS) of 15 cycles, New European Driving condition Test (The New European Driving Cycle, NEDC) of 10 cycles, and Typical Urban operating condition Test (China Typical Urban operating condition Test, CTCDC) of 20 cycles, wherein The Test process collects surface temperature values of all electric cores through temperature sensors at time intervals of 20s, and finally records and forms a temperature collection value array T0：
Above temperature collection value array T0In the first row, the temperature sampling values of the sensors 1#, 2#, … … 60# are 21.4 ℃, 20.9 ℃ and … … 21.2.2 ℃ respectively in the 1 st sampling.
Sequentially collecting value arrays T for the temperature0Analyzing the data of each row, respectively obtaining the maximum value and the minimum value of the sampling temperature of each row and the serial numbers of the temperature sensors corresponding to the maximum value and the minimum value of the sampling temperature of each row, and arranging to form a temperature maximum value reduction array T1：
Above temperature maximum value reduction array T1In row 1, the maximum value of 21.5 ℃ and the maximum value occurs at the position of the 15# sensor, and the minimum value of 20.7 ℃ and the maximum value occurs at the position of the 36# sensor in the 1 st temperature sample.
For the temperature maximum value reduction array T1All the recorded temperature sensors corresponding to the maximum temperature value in the single sampling are sorted from high to low according to the occurrence frequency to form a first sequence a, a ═ 15#,19#, …,20#, of the maximum value related temperature sensors](ii) a And reduces the array T according to the temperature maximum value1All the recorded temperature sensors corresponding to the temperature minimum value in the single sampling form a first sequence b of minimum value related temperature sensors according to the descending order of the occurrence frequency, wherein b is [36#,39#, …,42# ]]. Note that some of the temperature sensors are neither in the maximum-correlation temperature sensor first sequence a nor in the minimum-correlation temperature sensor first sequence b, because neither a temperature maximum nor a temperature minimum is collected by these sensors at each sampling.
For all elements in the first sequence a of the maximum value-dependent temperature sensors, moving the temperature sensor number which is the most front-ranked number 15# out of the first sequence a of the maximum value-dependent temperature sensors and into the second sequence a 'of the maximum value-dependent temperature sensors, and further moving a' [ [15# ] ]; for all elements in the first minimum relevant temperature sensor sequence b, the most forward-ranked temperature sensor number, i.e., 36#, is shifted out of the first minimum relevant temperature sensor sequence b and into the second minimum relevant temperature sensor sequence b ', and further b' ═ 36# ].
For all sensor numbers (i.e. 15#) in the second sequence a' of maximum-value-dependent temperature sensors, an array T of values is taken from the temperature0Finding out the temperature collection values sampled by the temperature sensors in the sequence each time, counting the found temperature collection values to obtain the maximum value in the temperature collection values sampled each time, and arranging to form a temperature maximum value sampling array Tmax：
For all sensor numbers (i.e., 36#) in the second sequence b' of minimum-value-related temperature sensors, an array T of values is collected from the temperature0Finding out the temperature collection values sampled by the temperature sensors in the sequence each time, counting the found temperature collection values to obtain the minimum value in the temperature collection values sampled each time, and arranging to form a temperature minimum value sampling array Tmin：
Sample the temperature maximum value into an array TmaxAnd temperature minimum value sampling array TminRespectively with the most significant reduction array T of temperature1Performing comparison operation to obtain the average deviation delta T of the maximum temperature valuemaxAnd temperature minimum mean deviation Δ Tmin：
In this embodiment, the maximum temperature average deviation determination value Δ CT is setmaxAnd the minimum mean deviation of temperatureminAll at 0.5 ℃. It is clear that Δ T is not yet satisfiedmax≤ΔCTmaxAnd Δ Tmin≤ΔCΔTminSo that the whole process flow cannot be ended.
Due to the current delta Tmax>ΔCTmaxThen for all remaining elements in the first sequence a of maximum correlated temperature sensors, the top-ranked temperature sensor number, i.e. 19#, is shifted out of the first sequence a of maximum correlated temperature sensors and into the second sequence a of maximum correlated temperature sensorsSequence a ', and further a' ═ 15#,19#]；
Due to the current delta Tmin>ΔCΔTminFor all elements in the first min-related temperature sensor sequence b, the first-ranked temperature sensor number, i.e., 39#, is shifted out of the first min-related temperature sensor sequence b and into the second min-related temperature sensor sequence b ', and then b' ═ 36#,39#]。
Then go to step 6 in the description.
The array of values T is collected from the temperature for all sensor numbers (i.e., 15# and 19#) in the second sequence a' of maximum value-related temperature sensors0Finding out the temperature collection values of the temperature sensors (namely 15# and 19#) in the sequence, carrying out statistics on the found temperature collection values to obtain the maximum value in the temperature collection values of each sampling, and arranging to form a temperature maximum value sampling array Tmax：
The array of values T is collected from the temperature for all sensor numbers (i.e., 36# and 39#) in the second sequence b' of minimum-value-related temperature sensors0Finding out the temperature collection values of the temperature sensors (i.e. 36# and 39#) in the sequence, counting the found temperature collection values to obtain the minimum value of the temperature collection values of each sampling, and arranging to form a temperature minimum value sampling array Tmin：
And step 7 is entered after step 6 is completed. Sample the temperature maximum value into an array TmaxAnd temperature minimum value sampling array TminRespectively with the most significant reduction array T of temperature1Performing comparison operation to obtain the average deviation delta T of the maximum temperature valuemaxAnd temperature minimum mean deviation Δ Tmin：
At this time,. DELTA.Tmax>ΔCTmax，ΔTmin＝ΔCΔTminBut does not satisfy Δ Tmax≤ΔCTmaxAnd Δ Tmin≤ΔCΔTminSo that the whole process flow cannot be ended.
Due to the current delta Tmax>ΔCTmaxThen, for all the remaining elements in the first sequence a of maximum value-dependent temperature sensors, the top-ranked temperature sensor number, i.e. 23#, is shifted out of the first sequence a of maximum value-dependent temperature sensors and into the second sequence a 'of maximum value-dependent temperature sensors, and a' ═ 15#,19#, 23#]。
Then go to step 6 in the description.
For all sensor numbers (i.e., 15#,19#, 23#) in the second sequence a' of maximum correlated temperature sensors, a value array T is collected from the temperature0Finding out the temperature collection values sampled by the temperature sensors (i.e. 15#,19#, 23#) in the sequence each time, counting the found temperature collection values to obtain the maximum value in the temperature collection values sampled each time, and arranging to form a temperature maximum value sampling array Tmax：
And step 7 is entered after step 6 is completed. Sample the temperature maximum value into an array TmaxAnd temperature minimum value sampling array TminRespectively with the most significant reduction array T of temperature1Performing comparison operation to obtain the average deviation delta T of the maximum temperature valuemaxAnd temperature minimum mean deviation Δ Tmin：
At this time,. DELTA.Tmax<ΔCTmax，ΔTmin＝ΔCΔTminHas satisfied Δ Tmax≤ΔCTmaxAnd Δ Tmin≤ΔCΔTminSo that the whole process flow is ended and the second sequence a' of the maximum value-dependent temperature sensor is ═ 15#,19#, 23#, and]and a second minimum-dependent temperature sensor sequence b' ═ 36#,39#]The serial numbers of all the temperature sensors in the battery pack, namely 15#,19#, 23#, 36# and 39#, are output as the selection result of the temperature measuring points of the battery pack.
The method for selecting the temperature measuring points of the battery pack of the electric automobile is established on the basis of a simulated working condition test, data specification is carried out on the basis of an original temperature measuring result, and the maximum value and the minimum value of the temperature of each test and the sensor number corresponding to the maximum value and the minimum value are obtained, so that the data analysis amount is greatly reduced; on the basis, respectively counting to obtain the sensor numbers of the maximum value and the minimum value of the temperature recorded in single sampling and sequencing the sensor numbers according to the occurrence frequency from large to small; then preferentially selecting temperature measurement data of a sensor with high frequency and a data protocol result for comparison, and judging the average deviation of the temperature measurement data and the data protocol result: if the average deviation value reaches the set value, finishing the flow of all the steps, otherwise, correspondingly supplementing the temperature measurement data of the sensor with the highest frequency in other sensors and comparing the temperature measurement data with the data protocol result again, and circulating until the average deviation value reaches the set value. In a word, the method for selecting the temperature measuring points of the battery pack of the electric vehicle is scientific and reasonable, clear in logic, efficient in operation and easy to program, and can save the number of sensors as much as possible while meeting the temperature measuring requirement.
Claims (3)
1. A method for selecting temperature measuring points of a battery pack of an electric vehicle is used for determining the number and the placement positions of temperature sensors in the battery pack in a battery pack product design stage, and is characterized by comprising the following steps which are sequentially executed:
step 1, placing a temperature sensor on the surface of each electric core in a battery pack, and numbering all the temperature sensors in sequence;
step 2, starting the battery pack and a cooling system thereof, testing the battery pack under a simulated working condition, acquiring surface temperature values of all the battery cores through temperature sensors according to a fixed time interval in the testing process, and finally recording and arranging the surface temperature values into a temperature acquisition value array T0：
Temperature collection value array T0In (1), any row represents a sampling result of a certain time, tnmRepresenting the temperature acquisition value of the temperature sensor with the number of m in the nth sampling;
step 3, sequentially carrying out temperature acquisition value array T0Analyzing the data of each row, respectively obtaining the maximum value and the minimum value of the sampling temperature of each row and the serial numbers of the temperature sensors corresponding to the maximum value and the minimum value of the sampling temperature of each row, and arranging to form a temperature maximum value reduction array T1：
Temperature maximum value reduction array T1In the above description, any row represents the maximum value and minimum value of the sampling temperature in a certain sampling result and the corresponding temperature sensor numbers (A)n,MAn) The maximum value of the sampling temperature of the nth sampling result is AnAnd the number of the corresponding temperature sensor is MAn，(Bn,MBn) The minimum value of the sampling temperature of the nth sampling result is BnAnd the number of the corresponding temperature sensor is MBn；
Step 4, aiming at the temperature maximum value reduction array T1All recorded temperature sensors corresponding to the maximum temperature value in single sampling are sorted from large to small according to the occurrence frequency to form a first sequence a of maximum value related temperature sensors, and a is [ Ma ]1,Ma2,…,Maj]Wherein MajIndicating the temperature sensor number ordered as the j-th bit; and reduces the array T according to the temperature maximum value1All recorded temperature sensors corresponding to the temperature minimum value in single sampling form a first sequence b of minimum value related temperature sensors according to the sequence of the occurrence frequency from large to small, wherein b is [ Mb [ ]1,Mb2,…,Mbk]Where MbkA temperature sensor number indicating the kth order;
step 5, moving the serial number of the temperature sensor which is sequenced most forward out of the first sequence a of the maximum value correlation temperature sensor and into the second sequence a' of the maximum value correlation temperature sensor aiming at all elements in the first sequence a of the maximum value correlation temperature sensor; for all elements in the first minimum value correlation temperature sensor sequence b, moving the temperature sensor number which is sequenced most in front out of the first minimum value correlation temperature sensor sequence b and moving in a second minimum value correlation temperature sensor sequence b';
step 6, aiming at all sensor numbers in the second sequence a' of the maximum value correlation temperature sensor, acquiring a value array T from the temperature0Finding out the temperature collection values sampled by the temperature sensors in the sequence each time, counting the found temperature collection values to obtain the maximum value in the temperature collection values sampled each time, and arranging to form a temperature maximum value sampling array Tmax：
Acquiring an array of values T from the temperature for all sensor numbers in the second sequence b' of minimum-value-related temperature sensors0Finding out the temperature collection values sampled by the temperature sensors in the sequence each time, counting the found temperature collection values to obtain the minimum value in the temperature collection values sampled each time, and arranging to form a temperature minimum value sampling array Tmin：
Step 7, sampling array T of the maximum temperature value obtained in the step 6maxAnd temperature minimum value sampling array TminRespectively comparing the obtained temperature maximum value with the temperature maximum value reduction array T obtained in the step 31Performing comparison operation to obtain the average deviation delta T of the maximum temperature valuemaxAnd temperature minimum mean deviation Δ Tmin：
In the formula (5), Ai' sampling array T for maximum temperaturemaxNumerical value of the ith row in, AiDefining an array T for the temperature maximum1Maximum value of sampled temperature in row i; in the formula (6), Bi' sampling array T for temperature minimummaxNumerical value of the ith row, BiDefining an array T for the temperature maximum1Minimum value of sampled temperature in row i;
step 8, average deviation Delta T of the maximum temperature valuemaxAnd the temperature maximum value average deviation discrimination value Delta CTmaxComparing and averaging the temperature minimum deviation Delta TminAnd the minimum mean deviation of temperatureminBy comparison, if Δ Tmax≤ΔCTmaxAnd Δ Tmin≤ΔCΔTminIf so, ending the flow of all the steps, and outputting the serial numbers of all the temperature sensors in the second sequence a 'of the maximum value-related temperature sensor and the second sequence b' of the minimum value-related temperature sensor as the selection result of the temperature measuring point of the battery pack; otherwise, entering step 9;
and step 9, sequentially executing the following substeps:
substep (9.1) if Δ Tmax>ΔCTmaxThen for the rest of the first sequence a of maximum correlation temperature sensorsThe method comprises the following steps of moving the serial number of the temperature sensor which is sequenced at the top out of a first sequence a of the maximum value correlation temperature sensor and moving the serial number of the temperature sensor which is sequenced at the top into a second sequence a' of the maximum value correlation temperature sensor;
substep (9.2) if Δ Tmin>ΔCΔTminFor all the remaining elements in the first minimum value correlation temperature sensor sequence b, moving the temperature sensor number which is sequenced most forward out of the first minimum value correlation temperature sensor sequence b and into a second minimum value correlation temperature sensor sequence b';
substep (9.3), go to step 6.
2. The method for selecting the temperature measuring points of the battery pack of the electric automobile as claimed in claim 1, wherein the simulated condition tests in the step 2 include, but are not limited to, constant current charging at different rates, constant current discharging at different rates, shelving, dynamic stress tests, urban road cycle condition tests, new european driving condition tests, and typical urban operation condition tests in china, and the combination and cycle of several tests in the above test methods.
3. The method for selecting the temperature measuring point of the battery pack of the electric vehicle as claimed in claim 1, wherein the temperature maximum value average deviation determination value Δ CT in the step 8maxAnd the minimum mean deviation of temperatureminAre all judgment standards given by battery pack designers in advance according to design requirements, and are delta CTmaxAnd Δ C Δ TminThe values of (A) are all between 0.1 ℃ and 2 ℃.
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