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  • Summary & Details

Development of model-based control system for a low pressure loop EGR with a negative pressure control valve

Detailed Information

Category(E)IC4 Modeling, MBD, Engine Systems and Control
Author(E)1) Taichi Ando, 2) Yukiyo Yamada, 3) Kenji Suzuki, 4) Tomohiro Yanaka
Affiliation(E)1) Nissan Motor Co., Ltd, 2) yamaday@mail.nissan.co.jp, 3) kenji-suzuki816@mail.nissan.co.jp, 4) t-yanaka@mail.nissan.co.jp
Abstract(E)To improve the fuel economy, a turbo-charged spark ignition engine combined with a low pressure loop EGR system was developed. In this system, a negative pressure control valve called by the admission valve (i.e. ADM valve) is applied to achieve high EGR ratio in wide engine operation condition.
On the other hands, ADM valve strongly effects on an air control, which dominates a torque control for a spark ignition engine. So ADM valve must be controlled coordinately with conventional air control actuators such as throttle valve and turbo wastegate valve. In addition, a low pressure loop EGR system has transportation delay of EGR gas because of intake parts’ volume. Therefore, on transient scene, it is necessary both to control EGR gas flow on required accuracy coordinately with ADM valve and to estimate transportation delay of EGR gas.
To solve these challenges, a new model-based control system for a low pressure loop EGR with a negative pressure control valve was developed. This has five main functions as followings,
1) Calculation of required air and pressure corresponding to required torque 2) Estimation of temperature and pressure
3) Calculation of required negative pressure at ADM valve downstream 4) Calculation of required actuator motion
5) Estimation of transportation delay of EGR gas
Especially, the function 2) is characterized as a simple and practical model. Pressure estimation uses the orifice valve formula. Temperature estimation model is described by only 2 main parameters, which are EGR mass flow, and temperature of the coolant.
As the result of introducing this new control system, the high accurate control on both air and torque are realized. In addition, not only the accurate control on EGR gas flow but also the accurate estimation of transportation delay are realized on transient scene.

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