Fatigue life simulation evaluation method for lightweight aluminum alloy material of new energy automobile

By fusing multi-source heterogeneous data and performing cross-scale multi-physics coupled simulation, the problems of low computational efficiency and large deviations in the fatigue life assessment of aluminum alloy components for new energy vehicles have been solved. This has enabled high-precision and high-efficiency fatigue life prediction and full life cycle assessment, supporting lightweight design and circular economy.

CN120995753AActive Publication Date: 2025-11-21ANHUI TECHN COLLEGE OF MECHANICAL & ELECTRICAL ENG
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Patent Information

Application Number
CN202510930517.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-07
Publication Date
2025-11-21
Estimated Expiration
2045-07-07

AI Technical Summary

Technical Problem

Existing technologies for fatigue life assessment of aluminum alloy components in new energy vehicles suffer from problems such as low computational efficiency, large deviation between simulation results and actual results, and inability to simulate multi-condition coupled environments, making it difficult to meet the requirements of lightweight design.

Method used

A full life cycle simulation evaluation method is constructed by employing techniques such as multi-source heterogeneous data fusion and feature enhancement, dynamic adaptive finite element model construction, load spectrum reconstruction based on spatiotemporal correlation, cross-scale multi-physics field coupling simulation, confidence-enhanced life prediction and verification, microstructure-fatigue performance synergistic optimization, and multi-life cycle scenario fusion evaluation.

Benefits of technology

It significantly improves the accuracy and efficiency of fatigue life prediction, reduces prediction errors, reduces computation time and manual intervention costs, provides full life cycle performance evaluation and visualization early warning functions, and supports circular economy design.

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Abstract

The invention discloses a fatigue life simulation evaluation method for a lightweight aluminum alloy material of a new energy automobile, and relates to the technical field of material life evaluation. A microstructure image is collected, coupling features are extracted through machine learning, and heterogeneous data fusion and enhancement are completed; generating a topological optimization structure based on a GAN, introducing a VPSC model to describe anisotropy according to a stress gradient dynamic grid, and constructing a dynamic finite element model; fusing vehicle driving data, predicting a load by using LSTM, performing VMD decomposition and environment correction, and realizing space-time correlation load spectrum reconstruction; a phase field model is used in a microcosmic mode, cracks are tracked in a macroscopic mode through XFEM, damage parameters are transmitted in a bidirectional coupling mode, and multi-physics field coupling simulation is carried out; fusing simulation and test data by adopting Bayesian reasoning, calculating life probability distribution, and correcting parameters when errors exceed the limit; according to the method, the fatigue life prediction error is finally reduced, the time consumption of single simulation is reduced, full-life-cycle evaluation and visual early warning are realized, an efficient scheme is provided for lightweight design, and industrial technology upgrading is promoted.
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