Print Email Facebook Twitter Validation of control-oriented heavy duty diesel engine models for non-standard ambient conditions Title Validation of control-oriented heavy duty diesel engine models for non-standard ambient conditions Author Mentink, P. Seykens, X. Publication year 2019 Abstract Complying to both the increasingly stringent pollutant emissions as well as (future) GHG emission legislation - with increased focus on in-use real-world emissions - puts a great challenge to the engine/aftertreatment control development process. Control system complexity, calibration and validation effort has increased dramatically over the past decade. A trend that is likely to continue considering the next steps in emission and GHG emission legislation. Control-oriented engine models are valuable tools for efficient development of engine monitoring and control systems. Furthermore, these (predictive) engine models are more and more used as part of control algorithms to ensure legislation compliant and optimized performance over the system lifetime. For these engine models, it is essential that simulation and prediction of system variables during non-nominal engine operation, such as non-standard ambient conditions, is well captured. This paper presents the validation of a semi-empirical control-oriented diesel engine model for non-standard ambient conditions. Measurements on a Heavy-Duty Diesel engine for long haulage applications are performed using TNO's Climate Altitude Chamber. Inhere, ambient conditions are varied ranging from -15°C to + 30°C and ambient pressure ranging from 990 mbar (sea level) to 710 mbar (2500m altitude). Both steady-state and transient engine operation, using both type approval and real-world duty cycles, are considered. For the mentioned range of ambient conditions, the engine model is validated for key performance indicators, like manifold conditions, engine-out temperature, fuel consumption (CO 2 emissions) and NO x emissions. The paper will end with a brief overview of possible (future) applications of the validated engine models and outlook to future work. Subject Industrial InnovationBenchmarkingControl systemsGreenhouse gasesSea levelCalibration and validationsDevelopment processHeavy-duty diesel engineKey performance indicatorsOptimized performancePollutant emissionReal-world emissionSteady state and transientsDiesel engines To reference this document use: http://resolver.tudelft.nl/uuid:39dd2271-12ca-4b12-8f97-32b88d8437f2 DOI https://doi.org/10.4271/2019-01-0196/ TNO identifier 866877 Publisher SAE International ISSN 1487-191 Source SAE Technical Papers, SAE World Congress Experience, WCX 2019, 9 April 2019 through 11 April 2019 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.