CN111428335A - Joint simulation method and device for battery module - Google Patents
Joint simulation method and device for battery module Download PDFInfo
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- CN111428335A CN111428335A CN202010062846.3A CN202010062846A CN111428335A CN 111428335 A CN111428335 A CN 111428335A CN 202010062846 A CN202010062846 A CN 202010062846A CN 111428335 A CN111428335 A CN 111428335A
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Abstract
The invention provides a combined simulation method and a combined simulation device for a battery module, wherein the method comprises the following steps: acquiring parameters of a battery module through Amesim software, and calculating the heat generation quantity of a battery core; transmitting the heat to Star ccm software; performing heat dissipation calculation by using Star ccm software according to the heat generation quantity, and transmitting the battery core temperature obtained by the heat dissipation calculation to Amesim software; amesim software receives the battery core temperature, recalculates the heat generation quantity by combining the parameters of the battery module to obtain a new heat generation quantity, and transmits the new heat generation quantity to Star ccm software for heat dissipation calculation. The invention can realize the joint simulation of the battery module, namely, the Amesim is used for heat generation calculation, the star ccm is used for heat dissipation analysis, and the advantages of the two software are adopted, so that the problem of poor precision when the single software is used for simulation is solved, and the simulation precision of the battery module is improved.
Description
Technical Field
The invention relates to the technical field of simulation, in particular to a joint simulation method and device of a battery module.
Background
The battery pack is used as a core component of the electric vehicle, and needs to meet relevant standards such as performance, safety, service life and the like under the using condition of the whole vehicle. The proper temperature is the key for ensuring the service life of the battery core, and the battery core can be maintained at 0-45 ℃ to work no matter in a high-temperature environment of 40 ℃ or a low-temperature environment of-30 ℃ as far as possible, so that the battery needs to be thermally managed, namely, the battery pack is cooled under a high-temperature working condition and is heated under a low-temperature working condition. In the battery pack thermal management work, a simulation tool is often required to be applied to perform early-stage thermal scheme evaluation, scheme verification and optimization so as to shorten the development period and reduce the test cost.
In the thermal simulation process of the battery pack, the calculation of the heat generation amount is crucial to the simulation precision, and the Star CCM is widely applied to thermal management simulation of the battery pack as thermal simulation general software and is mainly used for three-dimensional thermal simulation work. The temperature and the temperature difference of the battery cores at different positions in the battery pack and the flow resistance of the cooling system can be obtained through three-dimensional simulation, and meanwhile scheme optimization design can also be carried out. The heat generation quantity of the battery cell is calculated by taking Q ═ I as2R, wherein Q is the heat generation quantity of the battery cell, I is the working condition current, and R is the average internal resistance of the battery cell under the working condition. However, when starccm is applied to simulation and scheme optimization of the battery pack thermal management working condition, the average value of the direct current internal resistance R under the working condition is adopted when the heating power is calculated, the calculated heating value deviation is not large due to small internal resistance changes under different temperatures and socs under the high-temperature condition, but the difference of the internal resistance along with the temperature change is very large when the low-temperature working condition discharge is considered, so that the heating value error is very large, and the simulation precision is influenced.
Amesim is efficient and quick one-dimensional simulation software, and comprises a thermal simulation module. The temperature and the temperature difference of the battery cell at different positions in the battery pack can be quickly obtained through one-dimensional simulation. The heat generation quantity of the battery cell is calculated by taking Q ═ I as2R, wherein Q is the heat generation amount of the battery cell, I is the working condition current, and R is the internal resistance based on different temperatures and different socs and different discharge multiplying powers. However, when Amesim is applied to simulation of the thermal management working condition of the battery pack, the direct-current internal resistance for calculating the heating power is more accurate, but one-dimensional simulation cannot reflect the temperature distribution of all points in the battery pack, and only a single direction is considered when the heat dissipation capacity is calculated, so that the heat dissipation capacity is not accurately calculated, and the simulation accuracy is influenced.
Disclosure of Invention
In view of the above, the present invention is directed to a joint simulation method for a battery module, which can implement joint simulation of the battery module, that is, performing thermogenesis calculation by using Amesim, performing heat dissipation analysis by using star ccm, and using the respective advantages of two software, so as to avoid the problem of poor precision when a single software is used for simulation, thereby improving the simulation precision of the battery module.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a joint simulation method of a battery module comprises the following steps: acquiring parameters of a battery module through Amesim software, and calculating the heat generation quantity of a battery core; transmitting the heat generation quantity into Star ccm software; the Star ccm software carries out heat dissipation calculation according to the heat generation quantity; transmitting the battery core temperature obtained by heat dissipation calculation to the Amesim software; and the Amesim software receives the temperature of the battery core, recalculates the heat generation quantity by combining the parameters of the battery module to obtain a new heat generation quantity, and transmits the new heat generation quantity to the Star ccm software for heat dissipation calculation.
Further, the Star ccm software periodically transmits the battery core temperature obtained through heat dissipation calculation to the Amesim software.
Further, the Amesim software and the Star ccm software are subjected to data interaction in an iteration mode until the preset working condition cut-off time is reached.
Further, parameters of the battery module are obtained through Amesim software, and the heat generation quantity of the battery core is calculated, and the method specifically comprises the following steps: calling a prestored battery core heat generation amount calculation model in the Amesim software, inputting the acquired parameters of the battery module to the battery core heat generation amount calculation model, and calculating the heat generation amount of the battery core, wherein the parameters of the battery module at least comprise: one or more of cell temperature, SOC, and battery discharge rate.
Compared with the prior art, the joint simulation method of the battery module has the following advantages:
according to the joint simulation method of the battery module, joint simulation of the battery module is realized through Amesim software and Star ccm software, namely, Amesim is used for heat generation calculation, Star ccm is used for heat dissipation analysis, and the advantages of the two pieces of software are adopted, so that the problem of poor precision when single piece of software is used for simulation is solved, and the simulation precision of the battery module is improved.
Another object of the present invention is to provide a joint simulation apparatus for a battery module, which can realize joint simulation of the battery module, that is, perform thermogenesis calculation using Amesim, perform heat dissipation analysis using star ccm, and use the respective advantages of two software, thereby avoiding the problem of poor precision when a single software is used for simulation, and improving the simulation precision of the battery module.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a co-simulation apparatus of a battery module, comprising: a processing module loaded with Amesim software and Star ccm software, the processing module to: obtaining parameters of a battery module through Amesim software, calculating heat generation quantity of a battery core, and transmitting the heat generation quantity to Star ccm software, so that the Star ccm software carries out heat dissipation calculation according to the heat generation quantity, and transmits the battery core temperature obtained through heat dissipation calculation to the Amesim software, so that the Amesim software receives the battery core temperature, recalculates the heat generation quantity by combining the parameters of the battery module, obtains new heat generation quantity, and transmits the new heat generation quantity to the Star ccm software for heat dissipation calculation.
Further, the processing module is configured to: and periodically transmitting the battery core temperature obtained by heat dissipation calculation to Amesim software through the Star ccm software.
Further, the Amesim software and the Star ccm software are subjected to data interaction in an iteration mode until the preset working condition cut-off time is reached.
Further, the processing module obtains parameters of the battery module through Amesim software, calculates the heat generation amount of the battery core, and specifically includes: calling a prestored battery core heat generation amount calculation model in the Amesim software, inputting the acquired parameters of the battery module to the battery core heat generation amount calculation model, and calculating the heat generation amount of the battery core, wherein the parameters of the battery module at least comprise: one or more of cell temperature, SOC, and battery discharge rate.
Compared with the prior art, the advantages of the joint simulation device of the battery module and the joint simulation method of the battery module are the same, and are not described herein again.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a joint simulation method of a battery module according to an embodiment of the present invention;
fig. 2 is a block diagram of a joint simulation apparatus for a battery module according to an embodiment of the present invention.
Description of reference numerals:
a battery module co-simulation apparatus 100 and a processing module 110.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 is a flowchart of a joint simulation method of a battery module according to an embodiment of the present invention. As shown in fig. 1, a joint simulation method of a battery module according to an embodiment of the present invention includes the steps of:
step S1: and acquiring parameters of the battery module through Amesim software, and calculating the heat generation quantity of the battery core.
Specifically, obtain the parameter of battery module through Amesim software, calculate the heat generation volume of electricity core, specifically include: calling a prestored battery core heat generation calculation model in Amesim software, inputting parameters of the acquired battery module into the battery core heat generation calculation model, and calculating the heat generation amount of the battery core, wherein the parameters of the battery module at least comprise: one or more of cell temperature, SOC, and battery discharge rate.
In other words, an electric core heat generation amount calculation model is prestored in the Amesim software, when the heat generation amount of the electric core is calculated, the acquired parameters of the battery module, such as one or more of the electric core temperature, the SOC and the battery discharge multiplying power, are used for calculating the corresponding direct current internal resistances of the electric core under different temperatures and different SOCs according to the parameters, and the obtained working condition current is combined, so that the heat generation amount of the electric core can be calculated.
Step S2: the heat generation was transferred to Star ccm software. Specifically, Star ccm and Amesim can be connected to ensure that the heat generation amount of the battery cell calculated by the Amesim can be transferred to the Star ccm, namely, the data is stably and reliably transmitted.
Step S3: and performing heat dissipation calculation by using Star ccm software according to the heat generation amount, and transmitting the battery core temperature obtained by heat dissipation calculation to Amesim software.
Step S4: amesim software receives the battery core temperature, recalculates the heat generation quantity by combining the parameters of the battery module to obtain a new heat generation quantity, and transmits the new heat generation quantity to Star ccm software for heat dissipation calculation.
Namely, the Star ccm software performs cell heat dissipation analysis according to the received heat generation amount of the cell, and outputs the cell temperature. The Starccm software feeds back the electric core temperature obtained through heat dissipation calculation to Amesim software so that Amesim can recalculate the heat generation amount to obtain a new heat generation amount, and transmits the new heat generation amount to the Starccm software to recalculate the heat dissipation calculation, so that an iterative process is formed, and the simulation precision is improved.
And periodically transmitting the battery core temperature obtained by heat dissipation calculation to Amesim software by using Star ccm software. That is, the Star ccm software feeds back the cell temperature obtained by heat dissipation calculation to Amesim software at regular time. In a specific embodiment, for example, when the Star ccm performs heat dissipation calculation, the cell temperature is fed back to Amesim every 1 second of calculation, so that data is updated in time, and the improvement of simulation accuracy is facilitated.
Specifically, data interaction is carried out between Amesim software and Star ccm software in an iteration mode until the preset working condition cut-off time is reached. That is, the process of data transmission between the Amesim software and the Star ccm software is executed iteratively, and the process is not finished until the running time reaches the preset working condition cut-off time.
In a specific embodiment, for example, a cell heat generation amount calculation model is called in Amesim, and the heat generation amount of a cell is calculated according to parameters of a battery module; connecting the Star ccm with Amesim to ensure that the heat generated by the battery cell calculated by Amesim can be transferred to the Star ccm; and (4) operating the Star ccm to perform heat dissipation calculation analysis, feeding back the temperature of the battery cell to Amesim every 1 second of calculation, recalculating the heat generation quantity of the battery cell by the Amesim according to the temperature, and feeding back to the Star ccm again until the working condition cutoff time is reached.
In summary, the implementation process of the joint simulation method for the battery module is summarized as follows: the method comprises the steps of calculating the heat generation amount by applying Amesim, giving the heat generation amount to Star ccm for heat dissipation calculation, feeding back the calculated cell temperature to Amesim, calculating a new heat generation amount by the Amesim based on the feedback change of parameters such as the cell temperature, soc and discharge multiplying power, then giving the new heat generation amount to the Star ccm again for heat dissipation calculation, and iteratively executing the process until the set cut-off time is reached, so that combined simulation is carried out, the heat generation amount and the heat dissipation amount of the cell are ensured to be accurate, and the simulation precision is improved.
According to specific experimental data, when the Star cmm is used alone for three-dimensional simulation, the maximum temperature difference between the three-dimensional simulation result and the actual measurement result is 3 ℃, while when the combined simulation method is used for combined simulation, the maximum temperature difference between the combined simulation result and the actual measurement result is 1 ℃, so that the embodiment of the invention can effectively improve the simulation precision.
According to the joint simulation method of the battery module, the joint simulation of the battery module is realized through Amesim software and Star ccm software, namely, Amesim is used for heat generation calculation, Star ccm is used for heat dissipation analysis, and the advantages of the two pieces of software are adopted, so that the problem of poor precision when single piece of software is used for simulation is solved, and the simulation precision of the battery module is improved.
A further embodiment of the present invention provides a joint simulation apparatus for a battery module.
Fig. 2 is a block diagram illustrating a configuration of a co-simulation apparatus for a battery module according to an embodiment of the present invention. As shown in fig. 2, the co-simulation apparatus 100 for a battery module according to an embodiment of the present invention includes a start-up processing module 110.
Specifically, the processing module 110 is loaded with Amesim software and Star ccm software, and the processing module 110 is configured to: the method comprises the steps of obtaining parameters of a battery module through Amesim software, calculating the heat generation amount of an electric core, transmitting the heat generation amount to Star ccm software, so that the Star ccm software carries out heat dissipation calculation according to the heat generation amount, transmitting the electric core temperature obtained through heat dissipation calculation to the Amesim software, so that the Amesim software receives the electric core temperature, recalculating the heat generation amount by combining the parameters of the battery module, obtaining a new heat generation amount, and transmitting the new heat generation amount to the Star ccm software for heat dissipation calculation. For example, Star ccm may be connected with Amesim to ensure that heat generation of the battery cell calculated by Amesim can be transferred to Star ccm, i.e. to ensure stable and reliable data transmission. And (4) performing battery core heat dissipation analysis by using Star ccm software according to the received heat generation quantity of the battery core, and outputting the battery core temperature.
Specifically, the processing module 110 obtains parameters of the battery module through Amesim software, calculates the heat generation amount of the battery core, and specifically includes: calling a prestored battery core heat generation calculation model in Amesim software, inputting parameters of the acquired battery module into the battery core heat generation calculation model, and calculating the heat generation amount of the battery core, wherein the parameters of the battery module at least comprise: one or more of cell temperature, SOC, and battery discharge rate.
In other words, an electric core heat generation amount calculation model is prestored in the Amesim software, when the heat generation amount of the electric core is calculated, the acquired parameters of the battery module, such as one or more of the electric core temperature, the SOC and the battery discharge multiplying power, are used for calculating the corresponding direct current internal resistances of the electric core under different temperatures and different SOCs according to the parameters, and the obtained working condition current is combined, so that the heat generation amount of the electric core can be calculated.
The Starccm software feeds back the electric core temperature obtained through heat dissipation calculation to Amesim software so that Amesim can recalculate the heat generation amount to obtain a new heat generation amount, and transmits the new heat generation amount to the Starccm software to recalculate the heat dissipation calculation, so that an iterative process is formed, and the simulation precision is improved.
Wherein the processing module 110 is configured to: and periodically transmitting the battery core temperature obtained by heat dissipation calculation to Amesim software through Star ccm software. That is, the Star ccm software feeds back the cell temperature obtained by heat dissipation calculation to Amesim software at regular time. In a specific embodiment, for example, when the Star ccm performs heat dissipation calculation, the cell temperature is fed back to Amesim every 1 second of calculation, so that data is updated in time, and the improvement of simulation accuracy is facilitated.
Specifically, data interaction is carried out between Amesim software and Star ccm software in an iteration mode until the preset working condition cut-off time is reached. That is, the process of data transmission between the Amesim software and the Star ccm software is executed iteratively, and the process is not finished until the running time reaches the preset working condition cut-off time.
In a specific embodiment, for example, a cell heat generation amount calculation model is called in Amesim, and the heat generation amount of a cell is calculated according to parameters of a battery module; connecting the Star ccm with Amesim to ensure that the heat generated by the battery cell calculated by Amesim can be transferred to the Star ccm; and (4) operating the Star ccm to perform heat dissipation calculation analysis, feeding back the temperature of the battery cell to Amesim every 1 second of calculation, recalculating the heat generation quantity of the battery cell by the Amesim according to the temperature, and feeding back to the Star ccm again until the working condition cutoff time is reached.
In summary, the implementation process of the joint simulation apparatus for battery modules is summarized as follows: the method comprises the steps of calculating the heat generation amount by applying Amesim, giving the heat generation amount to Star ccm for heat dissipation calculation, feeding back the calculated cell temperature to Amesim, calculating a new heat generation amount by the Amesim based on the feedback change of parameters such as the cell temperature, soc and discharge multiplying power, then giving the new heat generation amount to the Star ccm again for heat dissipation calculation, and iteratively executing the process until the set cut-off time is reached, so that combined simulation is carried out, the heat generation amount and the heat dissipation amount of the cell are ensured to be accurate, and the simulation precision is improved.
According to specific experimental data, when the Star cmm is used alone for three-dimensional simulation, the maximum temperature difference between the three-dimensional simulation result and the actual measurement result is 3 ℃, while when the combined simulation method is used for combined simulation, the maximum temperature difference between the combined simulation result and the actual measurement result is 1 ℃, so that the embodiment of the invention can effectively improve the simulation precision.
It should be noted that a specific implementation manner of the joint simulation apparatus for a battery module according to the embodiment of the present invention is similar to a specific implementation manner of the joint simulation method for a battery module according to the embodiment of the present invention, and please refer to the description of the method part specifically, and details are not described here in order to reduce redundancy.
According to the combined simulation device of the battery module, the combined simulation of the battery module is realized through Amesim software and Star ccm software, namely, Amesim is used for heat generation calculation, Star ccm is used for heat dissipation analysis, and the advantages of the two pieces of software are adopted, so that the problem of poor precision when single piece of software is used for simulation is solved, and the simulation precision of the battery module is improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A joint simulation method of a battery module is characterized by comprising the following steps:
acquiring parameters of a battery module through Amesim software, and calculating the heat generation quantity of a battery core;
transmitting the heat generation quantity into Star ccm software;
the Star ccm software carries out heat dissipation calculation according to the heat generation quantity; transmitting the battery core temperature obtained by heat dissipation calculation to the Amesim software;
and the Amesim software receives the temperature of the battery core, recalculates the heat generation quantity by combining the parameters of the battery module to obtain a new heat generation quantity, and transmits the new heat generation quantity to the Star ccm software for heat dissipation calculation.
2. The joint simulation method of the battery module according to claim 1, wherein the Star ccm software periodically transmits the cell temperature obtained by heat dissipation calculation to the Amesim software.
3. The joint simulation method of the battery module according to claim 1 or 2, wherein the Amesim software and the Star ccm software are subjected to data interaction iteratively until a preset working condition cut-off time is reached.
4. The joint simulation method of the battery module according to claim 1, wherein the parameters of the battery module are obtained through Amesim software, and the heat generation amount of the battery core is calculated, specifically comprising:
calling a prestored battery core heat generation amount calculation model in the Amesim software, inputting the acquired parameters of the battery module to the battery core heat generation amount calculation model, and calculating the heat generation amount of the battery core, wherein the parameters of the battery module at least comprise: one or more of cell temperature, SOC, and battery discharge rate.
5. A joint simulation apparatus of a battery module, comprising:
a processing module loaded with Amesim software and Star ccm software, the processing module to:
obtaining parameters of a battery module through Amesim software, calculating heat generation quantity of a battery core, and transmitting the heat generation quantity to Star ccm software, so that the Star ccm software carries out heat dissipation calculation according to the heat generation quantity, and transmits the battery core temperature obtained through heat dissipation calculation to the Amesim software, so that the Amesim software receives the battery core temperature, recalculates the heat generation quantity by combining the parameters of the battery module, obtains new heat generation quantity, and transmits the new heat generation quantity to the Star ccm software for heat dissipation calculation.
6. The co-simulation apparatus of a battery module according to claim 5, wherein the processing module is configured to: and periodically transmitting the battery core temperature obtained by heat dissipation calculation to Amesim software through the Star ccm software.
7. The battery module co-simulation apparatus of claim 5 or 6, wherein the Amesim software and the Star ccm software iterate data interaction until a preset operating condition cut-off time is reached.
8. The joint simulation device of a battery module according to claim 5, wherein the processing module obtains parameters of the battery module through Amesim software, and calculates the heat generation amount of the battery core, and specifically includes:
calling a prestored battery core heat generation amount calculation model in the Amesim software, inputting the acquired parameters of the battery module to the battery core heat generation amount calculation model, and calculating the heat generation amount of the battery core, wherein the parameters of the battery module at least comprise: one or more of cell temperature, SOC, and battery discharge rate.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112149218A (en) * | 2020-08-10 | 2020-12-29 | 上汽通用五菱汽车股份有限公司 | Cooling system simulation analysis method |
| CN112231945A (en) * | 2020-09-15 | 2021-01-15 | 中国汽车技术研究中心有限公司 | Power battery system thermal diffusion joint simulation method based on star CCM + and Amesim |
| CN112818535A (en) * | 2021-01-28 | 2021-05-18 | 北京车和家信息技术有限公司 | Method and device for establishing electric heating simulation model and obtaining electric heating simulation value |
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| CN110133509A (en) * | 2019-04-28 | 2019-08-16 | 湖北锂诺新能源科技有限公司 | A kind of emulation mode of lithium ion battery DCR test |
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| CN110133509A (en) * | 2019-04-28 | 2019-08-16 | 湖北锂诺新能源科技有限公司 | A kind of emulation mode of lithium ion battery DCR test |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112149218A (en) * | 2020-08-10 | 2020-12-29 | 上汽通用五菱汽车股份有限公司 | Cooling system simulation analysis method |
| CN112231945A (en) * | 2020-09-15 | 2021-01-15 | 中国汽车技术研究中心有限公司 | Power battery system thermal diffusion joint simulation method based on star CCM + and Amesim |
| CN112231945B (en) * | 2020-09-15 | 2022-03-15 | 中国汽车技术研究中心有限公司 | Power battery system thermal diffusion joint simulation method based on star CCM + and Amesim |
| CN112818535A (en) * | 2021-01-28 | 2021-05-18 | 北京车和家信息技术有限公司 | Method and device for establishing electric heating simulation model and obtaining electric heating simulation value |
| CN112818535B (en) * | 2021-01-28 | 2024-01-02 | 北京车和家信息技术有限公司 | Method and device for establishing electrothermal simulation model and obtaining electrothermal simulation value |
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