Modeling and Validation of a Diesel Engine with Turbocharger for Hardware-in-the-Loop Applications

Jinguan Yin, Tiexiong Su, Zhuowei Guan, Quanhong Chu, Changjiang Meng, Li Jia, Jun Wang and Yangang Zhang
Additional contact information
Jinguan Yin: College of Mechatronic Engineering, North University of China, Taiyuan 030051, China
Tiexiong Su: College of Mechatronic Engineering, North University of China, Taiyuan 030051, China
Zhuowei Guan: China North Engine Research Institute, Tianjin 300400, China
Quanhong Chu: China North Engine Research Institute, Tianjin 300400, China
Changjiang Meng: China North Engine Research Institute, Tianjin 300400, China
Li Jia: China North Engine Research Institute, Tianjin 300400, China
Jun Wang: College of Mechatronic Engineering, North University of China, Taiyuan 030051, China
Yangang Zhang: College of Mechatronic Engineering, North University of China, Taiyuan 030051, China

Energies, 2017, vol. 10, issue 5, 1-17

Abstract: This paper presents a simulator model of a diesel engine with a turbocharger for hardware-in-the-loop (HIL) applications, which is used to obtain engine performance data to study the engine performance under faulty conditions, to assist engineers in diagnosis and estimation, and to assist engineers in model-based calibration (MBC). The whole diesel engine system is divided into several functional blocks: air block, injection block, cylinder block, crankshaft block, cooling block, lubrication block, and accessory block. The diesel engine model is based on physical level, semi-physical level and mathematical level concepts, and developed by Matlab/Simulink. All the model parameters are estimated using weighted least-squares optimization and the tuning process details are presented. Since the sub-model coupling may cause errors, the validation process is then given to make the model more accurate. The results show that the tuning process is important for the functional blocks and the validation process is useful for the accuracy of the whole engine model. Subsequently, this program could be used as a plant model for MBC, to develop and test engine control units (ECUs) on HIL equipment for the purpose of improving ECU performance.

Keywords: diesel engine; mean value model (MVM); protection system; tuning and validation; hardware-in-the-loop (HIL) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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