Half-Power Prediction and Its Application on the Energy Management Strategy for Fuel Cell City Bus

IF 4.8 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Automotive Innovation Pub Date : 2023-02-03 DOI:10.1007/s42154-022-00210-3
Longhai Zhang, Lina Ning, Xueqing Yang, Sheng Zeng, Tian Yuan, Gaopeng Li, Changchun Ke, Junliang Zhang
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Abstract

The fuel cell hybrid powertrain is a potential power supply system for fuel cell vehicles. The underlying problem is that the fuel cell vehicles encounter exhaustive hydrogen consumption. To effectively manage hydrogen consumption, the aim is to propose fuel cell city bus power and control system. The underlying idea is to determine the target power of fuel cell through simulation study on fuel cell and battery energy management strategy and road test verifications. A half-power prediction energy management strategy is implemented to predict the target power of the fuel cell in the current time step based on the demand power of the vehicle and the state of charge (SOC) of the battery in the previous time steps. This offers better understanding of the correlation between fuel cell power and vehicle drive cycle for enabling effective power supply management. The research results show that the half-power prediction energy management strategy effectively reduces the hydrogen consumption of the vehicle by 7.1% and the number of battery cycle by 6.0%, compared to the stepped management strategy of battery SOC. When applied to a 12-m fuel cell city bus—F12, specially designed and manufactured for the Winter Olympic Games in 2022—the fuel economy of 3.7 kg/100 km is achieved in urban road conditions. This study lays a foundation for providing the powertrain configuration and energy management strategy of fuel cell city bus.

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半功率预测及其在燃料电池城市客车能量管理策略中的应用
燃料电池混合动力系统是一种很有潜力的燃料电池汽车供电系统。潜在的问题是,燃料电池汽车遇到了彻底的氢消耗。为了有效地管理氢的消耗,提出了燃料电池城市客车动力与控制系统。其基本思想是通过对燃料电池和电池能量管理策略的仿真研究以及道路试验验证来确定燃料电池的目标功率。采用半功率预测能量管理策略,根据车辆的需求功率和前几个时间步长的电池荷电状态,预测燃料电池在当前时间步长的目标功率。这有助于更好地理解燃料电池功率与车辆驱动周期之间的关系,从而实现有效的电源管理。研究结果表明,与电池SOC分步管理策略相比,半功率预测能量管理策略可有效降低车辆耗氢量7.1%,电池循环次数6.0%。当应用于为2022年冬季奥运会专门设计和制造的12米燃料电池城市巴士f12时,在城市道路条件下,每100公里的燃油经济性达到3.7公斤。本研究为燃料电池城市客车动力系统配置及能量管理策略的提供奠定了基础。
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来源期刊
Automotive Innovation
Automotive Innovation Engineering-Automotive Engineering
CiteScore
8.50
自引率
4.90%
发文量
36
期刊介绍: Automotive Innovation is dedicated to the publication of innovative findings in the automotive field as well as other related disciplines, covering the principles, methodologies, theoretical studies, experimental studies, product engineering and engineering application. The main topics include but are not limited to: energy-saving, electrification, intelligent and connected, new energy vehicle, safety and lightweight technologies. The journal presents the latest trend and advances of automotive technology.
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