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基于车速预测的燃料电池客车能量管理策略
引用本文:高新梅,徐鑫,余忠伟,武小花.基于车速预测的燃料电池客车能量管理策略[J].科学技术与工程,2022,22(15):6325-6330.
作者姓名:高新梅  徐鑫  余忠伟  武小花
作者单位:西华大学汽车测控与安全四川省重点实验室
基金项目:四川省科技计划项目、四川省西华大学研究生创新基金
摘    要:燃料电池客车的能量管理策略对提高能量经济性具有十分重要的作用。本文基于某示范运行的燃料电池客车运行数据,使用径向基神经网络算法对未来行驶车速进行预测,并应用凸优化算法和模型预测控制思想构建整车实时能量管理策略,同时比较了动力电池充放电两种状态下的等效氢耗量,与实车运行数据相比,有效地提高了整车的能量经济性。

关 键 词:车速预测  燃料电池客车  凸优化  能量管理策略
收稿时间:2021/8/26 0:00:00
修稿时间:2022/4/29 0:00:00

Energy Management Strategy of Fuel Cell Bus Based onVehicle Speed Forecast
Gao Xinmei,Xu Xin,Yu Zhongwei,Wu Xiaohua.Energy Management Strategy of Fuel Cell Bus Based onVehicle Speed Forecast[J].Science Technology and Engineering,2022,22(15):6325-6330.
Authors:Gao Xinmei  Xu Xin  Yu Zhongwei  Wu Xiaohua
Institution:Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province,Xihua University
Abstract:: The energy management strategy of fuel cell bus plays a very important role in improving energy economy. This article is based on a demonstration operation of fuel cell buses run data, using RBF neural network algorithm to predict the future speed, and using the ideas of convex optimization algorithm and model predictive control to construct the vehicle real-time energy management strategy, and compares the two kinds of battery charging and discharging of equivalent hydrogen consumption. Compared with the real vehicle running data, effectively improve the energy economy of the vehicle.
Keywords:: speed prediction  Fuel cell bus  Convex optimization  Energy management strategy
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