Data Driven System Engineering

Automotive ECU Development

James Wen

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English

Ddse Consulting LLC
01 February 2022

Engineering: general; Automotive technology & trades; Embedded systems

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 Verification

each 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.

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.

By: James Wen
Imprint: Ddse Consulting LLC
Dimensions: Height: 254mm, Width: 178mm, Spine: 14mm
Weight: 458g
ISBN: 9798985624908
Pages: 260
Publication Date: 01 February 2022
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

40 years industrial electronic control development history including 20 years automotive ECU development in North AmericaInventor of Data Driven Reliability Development for Computing SystemFounder of DDSE Consulting, LLC (www.ddseconsulting.com)

Reviews for Data Driven System Engineering: Automotive ECU Development

The principle in every engineering is: Adding one more step in the engineering means adding one more chance to make mistakes in the product development. So, Ask two questions for each steps: (1) What is the value for doing this step? (2) Is there a way to optimize this step?