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Real-Time Optimal Energy Management of Electrified Engines

机译:电动发动机的实时最佳能源管理

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The electrification of engine components offers significant opportunities for fuel economy improvements, including the use of an electrified turbocharger for engine downsizing and exhaust gas energy recovery. By installing an electrical device on the turbocharger, the excess energy in the air system can be captured, stored, and re-used. This new configuration requires a new control structure to manage the air path dynamics. The selection of optimal setpoints for each operating point is crucial for achieving the full fuel economy benefits. In this paper, a control-oriented model for an electrified turbocharged diesel engine is analysed. Based on this model, a structured approach for selecting control variables is proposed. A model-based multi-input multi-output decoupling controller is designed as the low level controller to track the desired values and to manage internal coupling. An equivalent consumption minimization strategy is employed as the supervisory level controller for real-time energy management. The supervisory level controller and low level controller work together in a cascade which addresses both fuel economy optimization and battery state-of-charge maintenance. The proposed control strategy has been successfully validated on a detailed physical simulation model.
机译:发动机组件的电气化为改善燃油经济性提供了重大机会,包括使用电气化涡轮增压器来缩小发动机尺寸和回收废气能量。通过在涡轮增压器上安装电气设备,可以捕获,存储和重复使用空气系统中的多余能量。这种新配置需要新的控制结构来管理风道动态。每个工作点的最佳设定点的选择对于实现完整的燃油经济性至关重要。本文分析了电动涡轮增压柴油机的面向控制模型。基于该模型,提出了一种选择控制变量的结构化方法。基于模型的多输入多输出解耦控制器被设计为低级控制器,以跟踪所需值并管理内部耦合。采用等效的消耗最小化策略作为实时能源管理的监督级别控制器。监控级控制器和低级控制器以级联方式协同工作,可解决燃油经济性优化和电池充电状态维护的问题。所提出的控制策略已在详细的物理仿真模型上成功验证。

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