Beschreibung
This book offers a complete yet approachable guide to software-defined vehicles (SDVs), explaining how modern cars are evolving from fixed-function, hardware-centric machines into continuously updatable software, data, and service platforms. It shows what that transformation means for engineers, architects, product leaders, researchers, and educators, beginning with SDV fundamentals and tracing the industrys shift from legacy ECU-heavy designs to domain, zonal, and centralized architectures. From there, the book explores the technologies that make SDVs possible: automotive silicon, operating systems and middlewarefrom AUTOSAR and RTOS to Linux and Android Automotivein-vehicle networking, V2X communication, cloud and edge platforms, digital twins, CI/CD workflows, OTA update pipelines, and the growing role of AI in perception, analytics, personalization, and fleet-scale learning. It also examines the disciplines required to make SDVs viable in production, including functional safety, SOTIF, cybersecurity, software update governance, and global regulatory compliance. Beyond engineering, the book shows how telemetry, connected services, subscriptions, data-driven offerings, and platform ecosystems are reshaping the automotive business model and creating new paths to monetization. Realworld OEM and Tier1 examples, worked exercises, design checklists, and Critics Notes ground each topic in practical tradeoffs, while the closing chapters map emerging career and skills pathways across engineering, research, and business. You Will: Understand the full SDV stackfrom E/E architectures and automotive silicon to middleware, networking/V2X, cloud/edge platforms, AI/data pipelines, and OTA update systems Evaluate the tradeoffs behind zonal and centralized architectures, digitalfirst development, safetysecurity coengineering, and compliance with ISO 26262, ISO 21448, ISO/SAE 21434, UNECE WP.29, and ISO 24089 Analyze how SDV platforms create value through connected services, telemetry, digital twins, subscriptions, datadriven business models, and the emerging roles and skills required across engineering, research, and business This book is for: Embedded, software, systems, middleware, cloud/DevOps, safety, and cybersecurity engineers; E/E and platform architects; automotive product and program managers; and graduate students, researchers, and educators seeking a system-level view of software-defined vehicles.
Autorenporträt
Sankalp Agarwal is a Product Marketing and Strategy leader with over a decade of experience across microcontrollers, SoCs, safety-critical software, and automotive system architecture. At Infineon Technologies, he worked on automotive microcontroller and SoC platforms, including Aurix, Traveo T2G, and Auto PSoC, focusing on product definition, technical enablement, and ecosystem development. Earlier, he spent eight years at Arm Holdings as a Senior Applications Engineer, delivering technical training, toolchain integration support, and ecosystem onboarding for partners in automotive, industrial, and IoT markets. His background spans functional safety (ISO 26262), embedded security, RTOS integration, vehicle E/E architectures and in-vehicle compute platforms, zonal architectures, and SDV software stacks. In addition to his technical experience, he brings a strong commercial understanding of market needs, product positioning, and lifecycle planning gained from cross-functional engagements with engineering, sales, and partner networks. He holds an M.Tech in Embedded Systems from École centrale d'électronique, Paris, and has published research at international conferences.
Herstellerkennzeichnung:
APress in Springer Science + Business Media
Heidelberger Platz 3
14197 Berlin
DE
E-Mail: juergen.hartmann@springer.com
