Advances in Battery Manufacturing and Operating Status Analysis: Filtering and Artificial Intelligence Strategy
暫譯: 電池製造與運作狀態分析進展：濾波與人工智慧策略
Wang, Ziyun, Wang, Yan, Ji, Zhicheng
- 出版商: Wiley
- 出版日期: 2026-10-05
- 售價: $5,370
- 貴賓價: 9.5 折 $5,101
- 語言: 英文
- 頁數: 240
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394437161
- ISBN-13: 9781394437160
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相關分類:
Machine Learning、Reinforcement、控制系統 Control-systems
尚未上市，無法訂購
商品描述
Advanced filtering and AI algorithms for battery system analysis
Advances in Battery Manufacturing and Operating Status Analysis details zonotopic and particle filtering methods for robust real-time estimation of critical battery parameters, alongside hybrid models combining filters with long short-term memory networks for remaining useful life prediction. Coverage of genetic algorithms and Q-learning addresses intelligent battery grouping and manufacturing capacity forecasting. Technical case studies walk through problem definitions, data preprocessing, model selection, implementation, and interpretation of results.
Key topics also include:
- Zonotopic and particle filtering approaches for achieving robust, real-time estimation of critical battery state parameters in operational environments
- Hybrid filter and long short-term memory network models designed to predict remaining useful life with improved accuracy
- Genetic algorithm and Q-learning strategies applied to intelligent battery grouping and manufacturing capacity forecasting
- Technical case studies covering problem definitions, data preprocessing, model selection, implementation, and real-world result interpretation
- Data-driven strategies for optimizing battery lifecycle stages from manufacturing through operation and sustainable energy storage
Researchers and industry professionals in energy storage, power electronics, and electrical engineering R&D will find targeted algorithmic strategies for battery system management. Graduate students studying energy storage and related disciplines gain exposure to filtering and AI methods applied directly to manufacturing and operational analysis challenges.
商品描述(中文翻譯)
進階濾波與 AI 演算法：電池系統分析
《電池製造與運作狀態分析》詳細介紹 zonotopic filtering 與 particle filtering 方法，用於在即時且具雜訊的環境中，穩健地估算關鍵電池參數；同時也探討結合濾波器與 long short-term memory 網路的混合模型，以預測剩餘使用壽命（remaining useful life）。本書涵蓋 genetic algorithms 與 Q-learning，說明其在智慧型電池分組與製造產能預測上的應用。技術案例研究將逐步說明問題定義、資料前處理、模型選擇、實作，以及結果解讀。
主要主題還包括：
• 採用 zonotopic filtering 與 particle filtering 方法，在實際運作環境中穩健且即時地估算關鍵電池狀態參數
• 結合濾波器與 long short-term memory 網路的混合模型，以提升剩餘使用壽命預測的準確度
• 將 genetic algorithm 與 Q-learning 策略應用於智慧型電池分組與製造產能預測
• 技術案例研究，涵蓋問題定義、資料前處理、模型選擇、實作，以及實際結果解讀
• 以資料為基礎的策略，最佳化電池從製造、運作到永續能源儲存等各生命週期階段
能源儲存、電力電子與電機工程研發領域的研究人員及業界專業人士，將能從本書獲得適用於電池系統管理的專門演算法策略。研讀能源儲存及相關領域的研究生，也能藉此了解如何將濾波與 AI 方法直接應用於製造及運作分析中的各項挑戰。
作者簡介
Ziyun Wang is a Professor and Doctoral Supervisor at Jiangnan University's School of Automation and Intelligent Science and Deputy Director of the Engineering Center for the Application of Internet of Things (IoT). His research is focused on advanced manufacturing, battery operation analysis, and filter design.
Yan Wang is a Professor and Doctoral Supervisor at Jiangnan University's School of Automation and Intelligent Science and Yangtze River Distinguished Professor of the Ministry of Education. Her research spans artificial intelligence, advanced control and system optimization, and industrial internet technology.
Zhicheng Ji is a Professor and Doctoral Supervisor at Jiangnan University's School of Automation and Intelligent Science, and Director of Jiangsu Engineering Research Center for Intelligent Optimization Manufacturing of Industrial Internet, and former Vice Chancellor of Jiangnan University. His research is focused on energy system design, state estimation, and fault diagnosis.
作者簡介(中文翻譯)
Ziyun Wang 是江南大學自動化與智慧科學學院教授、博士生導師，也是物聯網（IoT）應用工程中心副主任。他的研究聚焦於先進製造、電池運作分析與濾波器設計。
Yan Wang 是江南大學自動化與智慧科學學院教授、博士生導師，也是教育部長江學者特聘教授。她的研究涵蓋人工智慧、先進控制與系統最佳化，以及工業網際網路技術。
Zhicheng Ji 是江南大學自動化與智慧科學學院教授、博士生導師，也是江蘇省工業網際網路智慧最佳化製造工程研究中心主任，並曾任江南大學副校長。他的研究聚焦於能源系統設計、狀態估測與故障診斷。
