使用 CMA-ES 方法优化 CRDI 柴油发动机的氮氧化物排放

IF 2.2 4区 工程技术 Q2 ENGINEERING, MECHANICAL
Seyfullah Berk, Ertan Alptekin
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引用次数: 0

摘要

发动机标定是对发动机控制单元(ECU)软件中的嵌入式参数进行调整,以改善车辆特性并满足法律要求。由于更严格的排放限制和客户不断提高的期望值,目前的 ECU 软件可能包含多达 30,000 个变量,这就需要大量时间来开发发动机标定功能。因此,汽车制造商不断开发基于数学的优化方法,以找到发动机的最佳运行条件。本研究旨在开发一种在线优化算法,以便在标定开发过程中进行自动测功机测试。改进的协方差矩阵适应(CMA)算法是一种进化策略(ES)方法,属于元启发式优化,该算法与自动化系统集成,用于在线标定优化。对 CMA 方法的一些参数(如步长和阻尼系数)进行了初步修改,以实现该方法在发动机在线标定中的高效运行。对一台 2 升共轨直喷(CRDI)柴油发动机的三个不同工作点进行了优化,其中氮氧化物排放主要影响新欧洲行驶循环(NEDC)的结果。在优化过程中,对主喷射正时、轨压、先导喷射量和正时、歧管压力和质量空气流量进行了控制。根据每个工作点的 NOx-PM 帕累托曲线确定优化目标。协方差矩阵适应用于生成帕累托曲线。在优化过程中,对每个运行点进行了 65 次测量。确定优化目标后,在每个运行点进行优化。在 NEDC 测试中,氮氧化物总排放量减少了 3.8%,而油耗和 PM 在稳态运行点几乎保持不变。改进后的 CMA-ES 算法有望成为在线标定优化的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of NOX emissions of a CRDI DIESEL engine using CMA-ES method
Engine calibration is the tuning of embedded parameters in the engine control unit (ECU) software to improve vehicle characteristics and meet legal requirements. Due to the stricter emission limits and rising customer expectations, current ECU software may include variables up to 30,000, which require very much time for engine calibration development. For this reason, automotive manufacturers continuously develop mathematical-based optimization methods to find optimum operating conditions for the engines. This study aimed to develop an online optimization algorithm to conduct automated dynamometer tests in the calibration development process. A modified covariance matrix adaptation (CMA) algorithm, which is an evolutionary strategy (ES) method belonging to meta-heuristic optimization, was integrated with an automation system for online calibration optimization. Some CMA method parameters such as step size and damping factor were initially revised to achieve the method to function efficiently in online engine calibration. Optimization was conducted at three different operating points of a 2-liter common rail direct injection (CRDI) diesel engine, where NOx emission mainly impacts the New European Driving Cycle (NEDC) results. The main injection timing, rail pressure, pilot injection quantity and timing, manifold pressure, and mass air flow were controlled in the optimization process. Optimization targets were determined according to the NOx-PM Pareto curve for each operating point. Covariance matrix adaptation was used to generate Pareto curves. Sixty-five measurements were taken for each operating point in the optimization process. Once optimization targets were determined, optimization occurred at each operating point. A total NOx emission reduction of 3.8% was obtained in the NEDC test, while fuel consumption and PM remained almost the same at steady-state operating points. The modified CMA-ES algorithm is expected to be an efficient method for online calibration optimization.
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来源期刊
International Journal of Engine Research
International Journal of Engine Research 工程技术-工程:机械
CiteScore
6.50
自引率
16.00%
发文量
130
审稿时长
>12 weeks
期刊介绍: The International Journal of Engine Research publishes high quality papers on experimental and analytical studies of engine technology.
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