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Multi-scale Parametric Optimization of CFRP Electric Vehicle Occupant Compartment Structures

$ 64.5

Pages:220
Published: 2025-12-17
ISBN:978-99993-3-411-2
Category: New Release
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Description

Confronting the dual challenges of depleting petroleum resources and stringent emission regulations, the development of electric vehicles (EVs) has become an imperative for the automotive industry. However, a significant research gap remains in the structural design of occupant compartments for all-new EV platforms. Furthermore, the multi-scale design complexities of Carbon Fiber Reinforced Polymer (CFRP) pose critical technical bottlenecks hindering its large-scale application in vehicle bodies. Originating from a National Key R&D Program project undertaken by the author's team, this book focuses on the CFRP occupant compartment structure for a new-architecture EV. It presents an in-depth journey of design and optimization, spanning from "macro-scale architecture" to "micro-scale ply layup." The research pioneers an equivalent single-layer modeling method for large, complex integrated CFRP structures, overcomes technical hurdles in the parametric design of variable-thickness layups and cross-category material selection co-optimization, and establishes a comprehensive "macro-micro" multi-scale fully parametric modeling and integrated optimization design framework. By integrating contribution analysis, surrogate models, multi-objective optimization algorithms, and multi-criteria decision-making methods, the final design scheme meets all performance targets while achieving remarkable lightweighting and cost reduction. The prototyping of representative components and validation by third-party accredited testing institutions robustly confirm the effectiveness and engineering practicality of the proposed methodologies. This book provides a systematic methodology and a validated technical pathway for the innovative design of EV body structures, particularly CFRP components. It serves as a valuable reference for researchers and engineers specializing in automotive lightweighting, composite structural design, and multidisciplinary optimization.



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