Lithium battery pack system reliability optimization design method based on multi-physical field simulation and response surface analysis method

A response surface analysis method and multi-physics technology, applied in the field of system reliability optimization design, can solve the problems of finding no design solution, a large amount of calculation time and cost, and achieve the effect of reducing the amount of calculation

Active Publication Date: 2020-06-05
BEIHANG UNIV
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Problems solved by technology

Therefore, relying solely on multi-physics simulation methods and traditional system reliability methods for exhaustive reliability o

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  • Lithium battery pack system reliability optimization design method based on multi-physical field simulation and response surface analysis method
  • Lithium battery pack system reliability optimization design method based on multi-physical field simulation and response surface analysis method
  • Lithium battery pack system reliability optimization design method based on multi-physical field simulation and response surface analysis method

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Embodiment Construction

[0030] In order to get a clearer understanding of the features and advantages of the present invention, examples and detailed descriptions are provided below in conjunction with the accompanying drawings. The specific implementation steps for users to optimize the reliability of LIBPs system based on this method are:

[0031] Step 1: Determine LIBPs system size and reliability design requirements. Taking a 3-parallel 5-series battery pack with a size of 180×108×65mm (x×y×z) as an example, the reliability is required to remain above 0.95 after 2000 cycles;

[0032] Step 2: Considering the reliability design requirements of LIBPs system and the physical size of LIBPs system, formulate a redundant design scheme, taking 3 parallel 5 series, 3 parallel 8 series, 4 parallel 6 series lithium battery packs as examples;

[0033] Step 3: Select a 3-parallel 8-series LIBPs system, and determine that the battery layout of the LIBPs system is equally spaced and cross-arranged, and the desig...

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Abstract

The invention relates to a lithium battery pack system reliability optimization design method based on a multi-physical field simulation and response surface analysis method. According to the method,a redundancy design scheme is formulated according to the size and reliability requirements of a lithium battery pack physical model; a response surface experiment scheme is designed by determining abattery arrangement mode and to-be-optimized design parameters; the physical process of a system is subjected to simulation analysis by establishing a lithium battery pack multi-physical-field model;the reliability of the system is evaluated and analyzed by constructing a lithium battery pack polymorphic system reliability model and a randomness model based on multi-physical field coupling; and based on all design schemes and analysis results thereof, a response surface is constructed, and the reliability optimization design work of a lithium battery pack system is finished by utilizing a response surface analysis method. According to the method, a multi-physical-field simulation technology, a system reliability method, a random uncertainty method and a response surface analysis method are fused, the physical process can be scientifically and accurately described, and the optimal redundancy and layout design scheme can be efficiently obtained.

Description

[0001] Technical field [0002] The invention relates to the field of system reliability optimization design, especially A method based on multiphysics simulation and response surface analysis Reliability Optimum Design Method for Lithium Battery Pack System Based on Analytical Method . Background technique [0003] With the rapid development of lithium-ion battery technology, lithium batteries have been widely used in electric vehicle power systems. With the development and maturity of the electric vehicle industry, the market demand for electric vehicles continues to increase. Therefore, higher requirements are placed on the service life and reliability of lithium battery packs for vehicles. [0004] There are many ways to improve the reliability of lithium battery packs (LIBPs). Among them, fault-tolerant technology based on redundant design is an effective method. While the redundancy design improves the reliability of the battery system, it is usually accompanied by...

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Application Information

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IPC IPC(8): G06F30/20G06F119/02G06F119/04G06F119/08
Inventor 任羿夏权杨德真王自力孙博冯强钱诚
Owner BEIHANG UNIV
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