Model-Based Multiobjective Evolutionary Algorithm Optimization for HCCI Engines
Model-Based Multiobjective Evolutionary Algorithm Optimization for HCCI Engines
复制标题
DOI：
10.1109/tvt.2014.2362954
复制
发表时间：
2015-09-01
影响因子：
6.8
通讯作者：
Wang, Zhi
中科院分区：
文献类型：
--
作者：
Ma, He;Xu, Hongming;Wang, Zhi
现代发动机具有相当多的可调控制参数。随着发动机自由度（DoF）的增加以及随之而来的优化发动机性能所需的大量校准工作，传统的手动发动机校准或优化方法正在达到其极限。需要一种自动且有效的发动机优化方法。本文针对均质压燃（HCCI）发动机，开展了基于多目标进化算法（MOEA）的全局优化方法的跨学科研究。通过HCCI发动机Simulink模型和基于强度Pareto进化算法2（SPEA 2）的多目标优化器Java代码之间的联合仿真，证明了HCCI发动机优化器的性能。利用Simulink建立了HCCI发动机模型，并在不同转速（1500-2250 r/min）和平均指示压力（IMEPs）（3 ~ 4.5 bar）下进行了验证。该模型能较好地模拟HCCI发动机的指示燃油消耗率（ISFC）和指示碳氢化合物排放率（ISHC）。所介绍的MOEA优化是一种通过SPEA 2自动调整发动机执行器的设置来同时有效地优化发动机ISFC和ISHC的方法。在本文中，HCCI发动机的执行器的设置是进气门打开（IVO）定时，排气门关闭（EVC）定时，和相对空燃比。联合仿真研究和实验验证结果表明，MOEA发动机优化器能够以较低的时间消耗和较高的精度找到HCCI发动机执行器的最优设置。
Modern engines feature a considerable number of adjustable control parameters. With this increasing number of degrees of freedom (DoFs) for engines and the consequent considerable calibration effort required to optimize engine performance, traditional manual engine calibration or optimization methods are reaching their limits. An automated and efficient engine optimization approach is desired. In this paper, interdisciplinary research on a multiobjective evolutionary algorithm (MOEA)-based global optimization approach is developed for a homogeneous charge compression ignition (HCCI) engine. The performance of the HCCI engine optimizer is demonstrated by the cosimulation between an HCCI engine Simulink model and a Strength Pareto Evolutionary Algorithm 2 (SPEA2)-based multiobjective optimizer Java code. The HCCI engine model is developed by Simulink and validated with different engine speeds (1500-2250 r/min) and indicated mean effective pressures (IMEPs) (3-4.5 bar). The model can simulate the HCCI engine's indicated specific fuel consumption (ISFC) and indicated specific hydrocarbon (ISHC) emissions with good accuracy. The introduced MOEA optimization is an approach to efficiently optimize the engine ISFC and ISHC simultaneously by adjusting the settings of the engine's actuators automatically through the SPEA2. In this paper, the settings of the HCCI engine's actuators are intake valve opening (IVO) timing, exhaust valve closing (EVC) timing, and relative air-to-fuel ratio.. The cosimulation study and experimental validation results show that the MOEA engine optimizer can find the optimal HCCI engine actuators' settings with satisfactory accuracy and a much lower time consumption than usual.