Abstract This study includes the design of an autonomous cooling system and implementation of the system on gasoline-fueled internal combustion engine by using model predictive control (MPC) technique. The system designed with MPC provides superior performance in terms of engine thermal management compared to the conventional cooling system. This controller structure is selected because it can be easily adaptable to the multivariable control system and is relatively easy to adjust. In the first part of the study, a multi input multi output (MIMO) model for a gasoline engine cooling system is developed under different operating conditions by using system identification techniques. Then, the performance of the proposed predictive based engine cooling system is tested for both steady and transient engine operating conditions. The experimental results showed that the designed autonomous thermal management system outperforms compared to the conventional cooling system in terms of reducing fuel consumption, shortening of the engine warm-up time and improvement of the exhaust emission characteristics.

中文翻译：

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针对 SI 发动机中可变发动机工作条件的自主发动机冷却系统的基于预测的控制的开发：设计、建模和实时应用

摘要 本研究包括使用模型预测控制 (MPC) 技术设计自主冷却系统和在汽油内燃机上实现该系统。与传统冷却系统相比，采用 MPC 设计的系统在发动机热管理方面具有卓越的性能。选择这种控制器结构是因为它可以很容易地适应多变量控制系统并且相对容易调整。在研究的第一部分，通过使用系统辨识技术，开发了在不同运行条件下的汽油发动机冷却系统的多输入多输出 (MIMO) 模型。然后，所提出的基于预测的发动机冷却系统的性能在稳定和瞬态发动机工况下进行测试。