基于计划曲线的储能系统均衡热管理及节能研究

doi:10.19799/j.cnki.2095-4239.2023.0268

摘要/Abstract

摘要：

在储能电池舱能量密度逐渐升高的背景下，热管理耗能占总辅助用电的比例逐渐增加。由于电芯间不均匀送风，温差会进一步拉大。为实现储能系统低能耗、低温差的目标，本工作提出了一种基于能量管理系统(EMS)计划曲线的热管理控制策略，并采用电芯温度对储能电池舱内空调进行集中控制。通过对容量为5.017 MWh的储能电池舱进行实验，研究该策略对电芯温差及空调耗电量的影响。研究结果表明，电芯本征不一致、模组风扇状态、空调状态对电芯温差均有影响，在现有集成情况下，空调启动对温差有负面作用。在相同的充放电功率下，相比于无控制策略的实验条件，电池堆1和电池堆2的电芯温差分别降低了0.9 ℃和1.4 ℃。此策略下，由于空调待机时无内循环风机功耗，空调日总耗能降低了62%。

关键词: 储能电池舱, 空调, 温控, 计划曲线, 温差, 节能

Abstract:

Considering the increased energy density of the storage battery cabin, the proportion of thermal management energy consumption in the total auxiliary electricity consumption increases gradually. A thermal management control strategy based on an energy management system (EMS) planning curve is proposed in this study to achieve the desired low energy consumption and temperature difference with respect to the energy storage system. Moreover, the battery temperature is used to centrally control the air conditioning in the energy storage battery cabin. The effect of these strategies on cell temperature difference and air-conditioning power consumption was studied based on the experiment on the energy storage battery cabin with a capacity of 5.017 MWh. The results indicate that intrinsic cell inconsistency, module fan state, and air conditioning state all influence cell temperature difference. In the case of existing integration, using air conditioning has a negative effect on the temperature difference. Under the same charge and discharge power, compared with the experiment without control strategies, the cell temperature difference of battery stacks 1 and 2 decreased by 0.9 ℃ and 1.4 ℃, respectively. Benefited from the strategies, the total daily energy consumption of the air conditioning was reduced by 62% as there was no power consumption when on standby.

Key words: energy storage battery cabin, air-condition, temperature control, planning curve, temperature difference, energy conservation

中图分类号:

TM 912

李明, 谢金元, 邱沐楚, 邵亮, 霍强. 基于计划曲线的储能系统均衡热管理及节能研究[J]. 储能科学与技术, 2023, 12(8): 2585-2593.

Ming LI, Jinyuan XIE, Muchu QIU, Liang SHAO, Qiang HUO. Research on balanced thermal management and energy saving of energy storage system based on planning curve[J]. Energy Storage Science and Technology, 2023, 12(8): 2585-2593.

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