Introduction to Artificial Intelligence in Automotive Engineering: Understanding Theory and Practical Applications
暫譯: 汽車工程中的人工智慧導論:理論與實務應用解析

Buidin, Thomas Imre Cyrille, Mariasiu, Florin Emil

  • 出版商: CRC
  • 出版日期: 2026-06-30
  • 售價: $2,450
  • 貴賓價: 9.5$2,327
  • 語言: 英文
  • 頁數: 286
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1041237227
  • ISBN-13: 9781041237228
  • 相關分類: 自駕車
  • 尚未上市,無法訂購

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商品描述

This book serves as a timely and practical guide to understanding how artificial intelligence (AI) can be harnessed in automotive engineering. It not only demystifies complex AI methods but also equips readers with the tools to creatively apply them to their own engineering challenges. Drawing from the authors' extensive teaching experience, this book adopts a hands-on approach to applying AI tools - such as regression, classification, clustering, and deep learning (DL) - to real-world engineering challenges. Through clear explanations and step-by-step algorithmic structures, readers are introduced to the foundational AI concepts and guided through practical applications using real automotive data. Examples include predicting electric vehicle energy consumption under varying conditions, assessing battery degradation, analyzing brake system wear, and implementing intelligent control for thermal management (HVAC systems). This book demonstrates how AI can optimize performance, enhance safety, and drive innovation. Each chapter builds essential skills, including setting up machine learning (ML) environments, implementing regression and classification models, constructing decision trees, applying clustering techniques, and designing neural networks (NNs). This guide is essential for postgraduate students interested in exploring how AI can be applied in engineering.

商品描述(中文翻譯)

本書是一本及時且實用的指南,幫助讀者理解如何在汽車工程中利用人工智慧(AI)。它不僅揭開了複雜的AI方法的神秘面紗,還為讀者提供了創造性地將這些方法應用於自身工程挑戰的工具。根據作者豐富的教學經驗,本書採取了實作導向的方法,將AI工具(如回歸、分類、聚類和深度學習(DL))應用於現實世界的工程挑戰。通過清晰的解釋和逐步的演算法結構,讀者將接觸到基礎的AI概念,並通過使用真實的汽車數據進行實際應用的指導。範例包括在不同條件下預測電動車的能量消耗、評估電池劣化、分析煞車系統磨損,以及實施智能控制以進行熱管理(HVAC系統)。本書展示了AI如何優化性能、增強安全性並推動創新。每一章節都建立了必要的技能,包括設置機器學習(ML)環境、實施回歸和分類模型、構建決策樹、應用聚類技術以及設計神經網絡(NNs)。這本指南對於有興趣探索AI在工程中應用的研究生來說是必不可少的。

作者簡介

Thomas Imre Cyrille Buidin is assistant professor in the Department of Automotive Engineering and Transports at the Technical University of Cluj-Napoca (UTCN), and a member of the Electric Mobility Applied Research Center (EMARC) research group. He earned his PhD in Mechanical Engineering from UTCN (2024) with a summa cum laude distinction. His thesis analyzed the efficiency of battery thermal management systems, and he was the first within the UTCN to incorporate AI methods into a doctoral thesis from the Mechanical Engineering domain. His domains of research and interest are hybrid and electric vehicles and lithium-ion batteries, with a focus on the energy efficiency optimization of innovative thermal management solutions and systems. The results of his research activity can be summarized as one patent, seven published scientific articles, 200 citations and ten prizes and awards for research and innovation in the fields of Mechanical and Automotive Engineering.

Florin Emil Mariasiu is a full professor at the Technical University of Cluj-Napoca (UTCN), specializing in Automotive and Transport Engineering. He earned his PhD in Mechanical Engineering from the UTCN (2003), as well as his Habilitation diploma in Mechanical Engineering (2015) from the UTCN. His areas of research interest are sustainable energy solutions for mechanical and thermal systems, along with recent concerns related to the application of AI tools in engineering and hybrid education in the automotive field. His research activity can be summarized as four patents, 15 books/chapters, over 100 published scientific articles, over 1,500 citations and more than 20 national and international awards and distinctions for research and innovation in the fields of Mechanical and Automotive Engineering.

作者簡介(中文翻譯)

Thomas Imre Cyrille Buidin 是克盧日-納波卡技術大學 (UTCN) 汽車工程與運輸系的助理教授,也是電動移動應用研究中心 (EMARC) 研究小組的成員。他於 UTCN 獲得機械工程博士學位 (2024),並以 summa cum laude 的榮譽畢業。他的論文分析了電池熱管理系統的效率,並且是 UTCN 首位在機械工程領域的博士論文中融入人工智慧 (AI) 方法的研究者。他的研究和興趣領域包括混合動力和電動車輛以及鋰離子電池,專注於創新熱管理解決方案和系統的能源效率優化。他的研究成果可總結為一項專利、七篇已發表的科學文章、200 次引用以及在機械和汽車工程領域獲得的十項研究與創新獎項。

Florin Emil Mariasiu 是克盧日-納波卡技術大學 (UTCN) 的正教授,專攻汽車與運輸工程。他於 UTCN 獲得機械工程博士學位 (2003),並於 UTCN 獲得機械工程的資格證書 (2015)。他的研究興趣領域包括機械和熱系統的可持續能源解決方案,以及最近與人工智慧工具在工程和汽車領域混合教育應用相關的問題。他的研究活動可總結為四項專利、15 本書籍/章節、超過 100 篇已發表的科學文章、超過 1,500 次引用,以及在機械和汽車工程領域獲得的 20 多項國內和國際獎項及榮譽。

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