Intelligent Electric Vehicles

• Record Nr.: UNINA9911034477603321
• Autore: Liu Shaoshan
• Pubbl/distr/stampa: Warrendale : , : SAE International, , 2024; ©2025
• ISBN: 1-4686-0851-7; 1-4686-0850-9
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (156 pages)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Front Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Foreword -- Chapter 1: Monetization Opportunities for the Intelligent Electric Vehicle Industry -- References -- Chapter 2: Managing a Global Supply Chain -- 2.1 Evolution of Supply Chains from Traditional Automobiles to IEVs -- 2.2 Key Components in the IEV Supply Chain -- 2.3 China's Bet on IEVs -- 2.4 The Next Frontier of the IEV Industry -- 2.5 Summary -- References -- Chapter 3: The Trickle-Down Effect: Transition to the Autonomy Economy -- 3.1 The Overlapping Supply Chains -- 3.2 Trickle-Down Supply Chain-From IEVs to Robots -- 3.3 Transition to the Autonomy Economy -- 3.4 Summary -- References -- Chapter 4: Scenario-Driven Car Making -- 4.1 Building Cars for Usage Scenarios -- Usage Scenario: Affordable Anywhere Anytime Healthcare Access -- Health Benefit Analysis -- Enabling Technologies -- Usage Scenario: Ubiquitous and Safer Autonomous Driving -- Business Analysis -- Enabling Technologies -- 4.2 Summary -- References -- Chapter 5: Project Management in the Making of Intelligent Electric Vehicles -- 5.1 Cultural Clashes in the Making of IEVs -- How Li Auto Turned Profitable -- Fifteen Challenges Faced by Li Auto -- The Li Auto Management Philosophy -- 5.2 Critical Business Decision-Making for IEV Startups -- 5.3 Summary -- References -- Chapter 6: Enabling Technologies-Electrification -- 6.1 Battery Technology and Management -- 6.1.1 Batteries -- 6.1.2 Battery Management Systems ; -- 6.1.3 Thermal Management -- 6.2 Power Electronics and Propulsion -- 6.2.1 Power Electronics in IEVs -- 6.2.2 Propulsion Technologies in IEVs -- 6.3 E/E Architectures -- 6.3.1 E/E Architectures for IEVs -- 6.3.2 Centralized E/E Architectures -- 6.4 Skateboard Chassis -- 6.5 Summary -- References -- Chapter 7: Enabling Technologies-Autonomous Driving -- 7.1 Market Landscape.; 7.2 Autonomous Driving Technologies Overview -- 7.3 Autonomous Driving Algorithms -- 7.3.1 Sensing -- 7.3.2 Perception -- 7.3.3 Action -- 7.4 Autonomous Driving Edge Systems -- 7.4.1 Middleware -- 7.4.2 Hardware Platform -- 7.5 Autonomous Driving Cloud Platform -- 7.6 Autonomous Driving 2.0 -- 7.7 Summary -- References -- Chapter 8: Enabling Technologies-Cockpit Intelligence -- 8.1 Market Landscape -- 8.2 Cockpit Intelligence Usage Scenarios -- 8.3 Enabling Technologies -- 8.4 Integration of LLMs into IEVs -- 8.4.1 Development of LLM -- 8.4.2 LLMs in IEVs -- 8.5 Summary -- References -- Chapter 9: Enabling Technologies: Ecosystem -- 9.1 Usage Scenario of In-Vehicle Healthcare Services -- 9.2 Automotive Health Domain Controllers -- 9.3 Edge AI for Healthcare Services -- 9.4 Connectivity Requirements -- 9.5 Need for Standardization -- 9.6 Summary -- References -- Chapter 10: Semiconductors for Intelligent Electric Vehicles -- 10.1 Historical Insights-The Virtuous Cycle -- 10.2 Computing Solutions for Autonomous Driving -- 10.3 Computing Solutions for Cockpit Intelligence -- 10.4 Other Semiconductor Solutions for IEVs -- 10.5 Latest Research Results -- 10.6 Summary -- References -- Chapter 11: Connectivity for Intelligent Electric Vehicles -- 11.1 Infrastructure Vehicle Cooperative Autonomous Driving -- 11.2 Real-World Communication Challenges -- 11.3 Overcoming Bandwidth Limitation with Data Compression -- 11.4 Overcoming Latency Variation with Adaptive Fusion -- 11.5 Summary -- References -- Chapter 12: Safety Standards for Intelligent Electric Vehicles -- 12.1 Overview of Safety Standards for IEVs -- 12.1.1 Vehicle Design and Crashworthiness -- 12.1.2 Battery Safety and Management Systems -- 12.1.3 Software and Cybersecurity -- 12.1.4 Autonomy -- 12.1.5 Environmental and Electromagnetic Compatibility.; 12.1.6 Connectivity and Vehicle-to-Everything Communication -- 12.2 Safety of the Intended Functionality -- 12.3 Latest Research Progress -- 12.4 Summary -- References -- Chapter 13: Conclusion -- Market Economics and Consumer Adoption -- Business Models and Profitability -- Policy and Economic Incentives -- Transportation Systems and City Planning -- Supply Chain Management -- Product Design -- Environmental Impacts -- Project Management -- Index -- About the Author -- Back Cover.
• Sommario/riassunto: Embark on a journey into the future of transportation with Intelligent Electric Vehicles. This comprehensive guide demystifies complex concepts, offering a roadmap to harness the monetization opportunities within the thriving IEV ecosystem. From management strategies to cutting-edge technology, this book provides a holistic perspective on the IEV industry. Explore real-world case studies, learn about emerging trends like cockpit intelligence and connected vehicles, and discover how to navigate the challenges and opportunities of this transformative space. Key Features: - Interdisciplinary approach: Bridges the gap between management and technology. - Real-world case studies: Grounds theoretical knowledge in practical applications. - Future-focused insights: Prepares readers for the next wave of innovations. - Monetization roadmap: Offers strategic advice for capitalizing on IEV advancements. Whether you're an automotive industry professional, technology enthusiast, or investor, Intelligent Electric Vehicles is your essential guide to understanding and ; succeeding in this exciting new era of transportation.