基于模糊预测控制的城市混合动力客车最优能量管理

Brishith Falcon-Mendoza, V. Herrera-Perez, J. A. López-Ibarra, H. Gaztañaga, Haritza Camblong-Ruiz
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引用次数: 0

摘要

本文提出了一种新的基于模糊预测控制策略的串联混合动力客车智能电源管理,该混合动力客车具有电池和超级电容器相结合的混合存储系统。本文的主要贡献是基于模糊定义的车辆动力管理预测控制,以及多目标优化方法来定义ESS的大小和运行。为了在发电机组中获得最佳性能,提出了一种基于发电机和内燃机图中转速-转矩搜索的优化工作点选择方法。根据仿真结果,与传统的基于规则的控制相比,总成本降低了18.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Based Predictive Control for Optimal Energy Management in Hybrid Urban Buses
In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5% of the total cost was compared to a traditional rule-based control.
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