Abstract
X-in-the-loop is a new vehicle development and validation method for increasingly complex vehicle systems, which integrates the driver and the environment. In view of recent developments in fuel cell electric vehicle powertrain systems, Tongji University and Karlsruhe Institute of Technology have jointly developed a set of distributed test platforms based on the X-in-the-loop approach. This platform contains models and test equipment for a fuel cell electric vehicle powertrain system. Due to the involvement of remote connection and the Internet, test with connected test benches will suffer great uncertainty cause of signal transfer delay. To figure out this uncertainty, the concept of transparency is introduced. Four parameters were selected as transparency parameters in this distributed test platform. These include vehicle speed, fuel cell output power, battery output power, and electric motor torque under several different configuration settings. With the help of transparency theory and statistical methodology, especially Analysis of Variance (ANOVA), the transparency of these four parameters was established, vehicle speed, electric motor torque, battery power, and fuel cell power are affected by network state, the degree of influence is enhanced in turn. Using new defined parametric and non-parametric methods, this paper identifies the statistical significance and the transparency limitations caused by Internet under these several configurations. These methods will generate inputs for developer setting the distributed test configuration. These results will contribute to optimize the process of geographically distributed validation and joint development.
Highlights
With the development of the automobile industry, the complexity of automobiles is increasing.the development of vehicles is no longer a concern of individual companies, but has become a primary focus requiring the combined efforts of a number of companies
Germany jointly developed a distributed test platform for a fuel cell electric vehicle powertrain based on X-in-the-loop approach
The significance of Configuration A2 is that the ideal state output of the fuel cell powertrain system under the fixed delay condition is given in the simulation environment
Summary
With the development of the automobile industry, the complexity of automobiles is increasing. Aimed at simplifying the increasingly complex vehicle system, X-in-the-loop development and validation theory has been led by Professor Albers at the Karlsruhe Institute of Technology. He and other scholars have integrated simulation models and real components, making full use of existing tools and methods to assess the impacts of drivers and the external environment on electric vehicle requirements and development processes [3,4,5]. To find out the differences between remote operation output power, battery output power and electric motor torque under several different configuration andinlocal fourtest transparency including vehicle speed, fuel cell settings thisoperation, distributed platform.parameters. Non-parametric detection, the statistical significance and transparency limitations caused by the Internet under these configurations were determined
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