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A Novel Approach to Efficient System Level Validation of Vehicle Interior Systems Jaguar Land Rover TBSI

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Sureka, Sumit, author.
Contributor:
Ghosh, Soumik
Rawat, Gautam
Vidhu, Nandagopal
Conference Name:
Symposium on International Automotive Technology (2026) (2026-01-28 : Pune, India)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2026
Summary:
Mechatronic systems, which are integral to various automotive applications, enhance both functional criticality and user experience. As the complexity and number of features in automotive systems increase, the volume of test cases for system-level features and their interactions grows exponentially. This necessitates rigorous regression testing with each software update to ensure system reliability and performance. The systems engineering V-model is a crucial framework for the design and development of complex systems, emphasizing the importance of testing at every level, including system, subsystem, and software. Effective validation at the system level involves numerous subsystems and their software interacting, making the testing process resource-intensive and time-consuming. During system-level testing, issues often arise that require fixes within various subsystems. After addressing these issues, retesting is necessary to ensure that the changes do not negatively impact overall system functionality. However, running all test cases for minor changes in subsystems is impractical and inefficient. Isolated testing at the subsystem level does not suffice for system-level validation, leading to challenges in maintaining comprehensive test coverage. This paper proposes a strategy for the development and regression testing of automotive mechatronic systems, which can be generalized to other mechatronic systems. The strategy focuses on identifying and eliminating redundant user scenarios to improve testing efficiency and business outcomes
Notes:
Vendor supplied data
Publisher Number:
2026-26-0534
Access Restriction:
Restricted for use by site license

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