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Optimizing Search Testing Method for Brake Boost Degradation Based on Electrical Chassis System M-HIL Bench FAW Group Corporation R and D Center: First Automobile Works

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Guo, Xiaotong, author.
Contributor:
Chen, Zhicheng
Li, Lun
Wang, Wei
Yan, Luping
Zh, Bing
Zhang, Liliang
Conference Name:
SAE 2024 Intelligent and Connected Vehicles Symposium (2024-09-22 : Shanghai, China)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2024
Summary:
With the technology of electronic chassis control systems of automobile is widely used, the functional interaction between brake system and the other electronic systems may lead to brake boost degradation. Therefore, it is necessary to find out brake boost degradation events in the quite large number of driving scenarios. To solve the difficulty of thoroughly and quickly searching for brake boost degradation conditions in the large number of driving scenarios, based on Mechatronic-Hardware-In-the-Loop (M-HIL) technology, this paper constructs an electrical chassis system M-HIL bench to verify the function and performance of the electronic brake control system under actual chassis system conditions. To search and locate the brake boost degradation conditions rapidly and enhance the searching efficiency of levels boundary of affecting factors for brake boost degradation, firstly, based on pair-wise coverage combinatorial testing, brake boost degradation occurrence rate is estimated and initial level combinations including brake boost degradation events are calculated by conducting the brake boost degradation single test of all test cases automatically. Secondly, if the brake boost degradation occurrence rate exceeds the threshold of occurrence rate, based on particle swarm optimization (PSO) algorithm and islet cases expansion, levels boundary of affecting factors for brake boost degradation is searched by execution of automatic testing program. The optimizing search testing method proposed in this paper, which combines pair-wise coverage combinatorial testing theory with PSO, can enhance testing efficiency for electronic brake control system. In addition, the scenario coverage of brake boost degradation events can also be increased by expanding islet cases
Notes:
Vendor supplied data
Publisher Number:
2024-01-7050
Access Restriction:
Restricted for use by site license

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