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The application of vapor injection to the compression process leads to a decrease in discharge temperature, extending the operating envelope to lower suction pressures. Additionally, it increases the coefficient of performance as well as the heating capacity under these conditions. Vapor injected compressors are therefore ideally suited for cold climate heat pump applications. This paper introduces a PI-type mapping of a dual port vapor injected compressor’s performance data trained with data from both, in-system testing as well as test-stand testing. The in-system testing was conducted in a prototype cold climate heat pump, where injection mass flowrates and suction superheat were a result of the operating conditions. In contrast, suction superheat of the test-stand data was fixed while injection flowrates were dictated by the test plan. These differences result in limitations of the mappings if the model is trained with only one of these sets, as shown in the companion paper.