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Data Driven System Engineering: Automotive ECU Development
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JPY 10757
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Data Driven System Engineering is the modern approach to ensure superior automotive ECU development through a focus on data value and data timing.
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製品詳細
- This book provides full scope of automotive ECU development activities including cybersecurity and safety plus SOTIF.Every computing system has two, and only two attributes: Data Value and Data timing, which represent fully the system functionalities from the system external behavior point of view.The data driven system engineering is the approach to develop the system by focusing on the two attributes mentioned above, in which, the data values are derived by the system operation concept design, and the data timing is derived by the system latency design. Based on which, this book provides a full range of system and software engineering development activities: Requirement Elicitation Requirement Engineering System and Software Architecture Design System Operation Concept Design System and Software Structure Design Electronic Architect Design Functionality Allocation Failure Mode and Effect Analysis (FMEA) Safety Cybersecurity (full compliant with UN ECE 155/156) System and software Verification System and Software Integration and Verification System and Software Black Box Verificationeach of which has its own clearly defined scope and approach, which is different from the conventional development, in some cases even different from some ISO standards, for example: Safety Development: the safety requirements for every part in a vehicle are cascaded from the vehicle safety requirements, which is different from the Concept Phase in the Part 3 of ISO 26262, and the functional safety development will be fully covered by (1) Reliability (2) Availability (3) Quality. Error Detection and Protection: there are only two types of errors to be detected in a computing system: Data Value error and Data Timing error, to detect which, there are only two aspects to be considered: (1) input data (2) middle data and output data in addition to the platform error detection. The approaches of detection and protection include (1) data transfer protocol check, (2) data range and reasonable value check, (3) execution time check and control. FMEA: this book provides the optimized approach by following the data relationships between the input data, middle data and output data, which will be both inductive and deductive, and re-use the system operation concept that is built at the system development first phase, to make the development efficient. Cybersecurity: this book provides the full solution to cover the UN ECE 155 by implementing three aspects: (1) Trusted contents in the ECU (2) Authenticated access to the ECU (3) Authenticated communication with the ECU. Requirement Engineering: This book makes the goal and scope of requirement engineering in the computing system development specific, accurate and measurable by defining the scope as: the requirement engineering is to use the computer executable information to describe the system under development which consists only two types of information: Signal and Test Case, and defining the requirement quality measurement as: (1) Signals, either input or output signals, shall be computer readable. (2) Test cases shall be executable in the system. System Architecture Design: The goal of system architecture design is to provide the platform that transfers and transforms the input signal to become the required output signal via some middle data. This book introduces the following system functional modulizations based on the AUTOSAR that satisfies a generic automotive ECU structure: (1) Feature Function (2) Diagnostic Service (3) Cybersecurity Function (4) Serial Signal Manager (5) Application Mode Manager (6) AUTOSAR, and based on the characteristics of those functions, the book provides the approach to design the electronic architecture and allocate the functions to the architecture.
| Item Weight | 1.5 lbs (680 grams) |
どんな人にお勧めですか?
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Automotive Engineers
Engineers involved in ECU development will benefit from advanced data analysis tools and methodologies in system engineering.
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Data Analysts
Professionals skilled in data analytics can leverage insights from automotive ECU data to drive informed design decisions.
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Project Managers
Project managers overseeing automotive projects can utilize data-driven approaches for better resource allocation and workflow management.
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Casual Users
Individuals without a technical background may find the product complex and not user-friendly for casual use.
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お客様の質問と回答
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質問:
What is the main focus of this book?
回答: The book focuses on the data-driven approach to automotive ECU development, emphasizing data value and data timing. -
質問:
Does this book cover cybersecurity?
回答: Yes, it provides full solutions to comply with UN ECE 155/156, addressing trusted contents, authenticated access, and communication. -
質問:
How does this book differ from traditional methodologies?
回答: It introduces innovative approaches like optimized FMEA and a specific, measurable requirement engineering framework tailored for modern computing systems.
Vehicle Design & Construction Editorial Review
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この商品のレビュー
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長所
- Comprehensive technical insights
- Expertly covers ECU development
- Highly practical applications
- User-friendly language
- Well-structured for understanding
短所
- Some concepts may require prior knowledge.
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JPY 10757
今すぐ注文すると 頃に届きます 木曜日, 9月 10
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特徴と利点
- Comprehensive guide on automotive ECU development activities.
- Focus on cybersecurity and safety including compliance with UN ECE 155/156.
- Innovative data-driven approach enhances system functionalities.
- Covers extensive topics: Requirement Engineering, System Architecture, FMEA.
- Unique methodologies for error detection and protection.
- Clearly defined scopes exceed conventional standards for enhanced efficiency.
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