Development of energy management system based on a rule-based power distribution strategy for hybrid power sources
Development of energy management system based on a rule-based power distribution strategy for hybrid power sources
复制标题
基于规则的混合电源功率分配策略的能源管理系统开发
DOI：
10.1016/j.energy.2019.03.155
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发表时间：
2019-05-15
期刊：
影响因子：
9
通讯作者：
Chen, Zonghai
中科院分区：
文献类型：
--
作者：
Wang, Yujie;Sun, Zhendong;Chen, Zonghai
质子交换膜燃料电池已成为未来绿色运输电源的良好候选者，因为它具有出色的高效和清洁性能。为了克服缓慢的动态特性，燃料电池总是与其他储能设备（如锂离子电池和超电容器）分组。能源管理系统的开发和电源分销策略的设计是混合动力源系统的关键问题。在以前的工作中，很少有研究全面考虑了电池和超电容器功率能力的标准，这些标准与加速，梯度攀爬和再生制动的功率要求密切相关。考虑到功率限制的电源分配策略的制定对于混合储能系统的安全性和寿命至关重要。在本文中，基于基于规则的电源分配策略为混合电源系统开发了分布式能源管理系统。提出的电源分配策略已全面考虑了需求功率的标准，混合动力源系统的剩余能力和功率能力。此外，采用了贝叶斯蒙特卡洛方法来估计电池和超级电容器的剩余容量和功率能力。与现有的基于规则的策略相比，在不考虑电力能力的限制的情况下，提出的策略在燃油经济性和动态财产方面具有更好的合理性。提出的能源管理策略可以通过采用功率能力和剩余能力的电荷和放电限制来延长寿命并改善混合储能系统的经济。 （c）2019 Elsevier Ltd.保留所有权利。
The proton exchange membrane fuel cell has become a good candidate for the power source of future green transportations due to its excellent performance of high efficiency and cleanness. To overcome the slow dynamic characteristic, the fuel cells are always grouped with other energy storage devices such as lithium-ion batteries and supercapacitors. The development of energy management system and design of the power distribution strategy are critical issues for the hybrid power source system. In previous work, few studies have comprehensively considered the criteria of power capabilities of the batteries and supercapacitors which are intimately correlated with the power requirements of accelerating, gradient climbing and regenerative braking. The development of power distribution strategy considering the constraints of the power capability is urgent and critical to the safety and longevity of the hybrid energy storage system. In this paper, a distributed energy management system is developed for the hybrid power source system based on a rule-based power distribution strategy. The presented power distribution strategy has comprehensively considered the criterias of the demand power, the remaining capacity and power capability of the hybrid power source system. Moreover, the Bayes Monte Carlo approach is employed for co-estimation of the remaining capacity and power capability of the batteries and supercapacitors. Compared with the existing rule-based strategy without considering the restrictions of the power capability, the presented strategy has better rationality in terms of fuel economy and dynamic property. The presented energy management strategy can extend the lifespan and improve the economy of the hybrid energy storage system by employing the charge and discharge limits of power capability and residual capacity. (C) 2019 Elsevier Ltd. All rights reserved.