公开(公告)号：US12060825B1

公开(公告)日：2024-08-13

申请号：US18594654

申请日：2024-03-04

Applicant: Shanghai Jiao Tong University

Inventor： Lei Shi ,  Ling Leng ,  Junwei Li ,  Yong Zhang ,  Kangyao Deng

IPC: F02B37/18 ,  F02B37/00 ,  F02B37/013 ,  F02D41/00

CPC classification number: F02B37/183 ,  F02B37/004 ,  F02B37/013 ,  F02D41/0007

Abstract: A two-stage turbocharging energy-efficient self-adaptive control method based on multi-point intake and exhaust pressures in diesel engine turbocharging field, including: determining a target turbocharging pressure for plains upon diesel engine speed and load conditions; adjusting it to obtain optimal target turbocharging pressures for varying altitudes; using these and measured multi-point pressures in intake and exhaust pipelines as inputs, based on an energy utilization analysis model, to determine the two-stage turbocharging energy utilization efficiency suitable for different altitude environmental conditions; according to the optimal overall efficiency principle of the two-stage turbocharging system at variable altitudes, calculating opening degrees of the bypass valves that meets the target total pressure ratio by a valve control unit. Reasonable distribution of exhaust energy between the two-stage turbochargers is achieved. The invention can achieve an efficient utilization of exhaust energy, and self-adaptive control of a variable-altitude two-stage turbocharging system.

公开(公告)号：US12025066B1

公开(公告)日：2024-07-02

申请号：US18594369

申请日：2024-03-04

Applicant: Shanghai Jiao Tong University

Inventor： Lei Shi ,  Ling Leng ,  Ziqiang Chen ,  Junwei Li ,  Kangyao Deng

IPC: F02D41/00 ,  F02D41/14

CPC classification number: F02D41/0007 ,  F02D41/1404

Abstract: An intelligent variable mode control method for variable altitude turbocharging system of diesel engine, including: querying turbocharging pressure MAP chart upon speed and torque demands; reading a target pressure, and correcting it to obtain a corrected pressure; based on adaptive ranges of flow-pressure ratio of turbocharging modes, using fuzzy control algorithms to achieve intelligent selection of turbocharging modes; initializing opening degrees of high- and low-pressure stage bypass valves within adjustment ranges; using neural network fast prediction models to predict turbocharging pressures; using genetic algorithms to fast search bypass valve opening degrees corresponding the target and send them to the valve control unit. The invention achieves turbocharging mode selection and precise turbocharging pressure control during variable altitude operation of diesel engines, and achieves model-based intelligent variable mode adaptive optimization control of variable altitude diesel engine turbocharging systems.