摘要
储能电池在新能源并网、新能源汽车等产业领域发挥着重要作用,为了对电池进行有效地控制与管理,需要配备必要的电池管理系统,电池荷电状态(SOC)是其中最为重要的一环。磷酸铁锂(Li Fe PO4,LFP)电池SOC与多个影响因素密切相关,呈强非线性,本文重点归纳温度对磷酸铁锂电池SOC的影响。首先将工作温度对开路电压、实际容量、充放电效率、自放电率及电池老化等电池特性的影响进行归纳总结,随后通过对工作温度的影响规律进行分析、总结和归纳,基于经典"开路电压+安时积分"法将温度参数直接或间接引入到SOC的实时估算模型中,得到考虑温度参数的新模型,进而提高电池SOC的估算精度。
In order to effectively control and manage the battery energy storage system （BESS）, which plays more andmore important roles in new energy integration and reducing environmental pollution, it is necessary to develop batterymanagement system （BMS） to achieve a high performance of BESS. As an important parameter, the state of charge （SOC）of Li-ion battery has been researched widely nowadays, aiming to improve the estimation accuracy. LiFePO4 （LFP） batteryhas a prospective value in various applications and its SOC is closely related to multiple factors. The relationships betweentemperature and several characteristics of battery, such as the open circuit voltage, charge-discharge efficiency, nominalcapacity and self-discharge rate, are introduced in this paper. Based on the conclusions and summaries above, thetemperature parameters were introduced to the SOC estimation model directly or indirectly in real time, the estimationaccuracy of SOC would be improved significantly by considering the effects of temperature.
出处
《新能源进展》
2015年第1期59-69,共11页
Advances in New and Renewable Energy
基金
国家自然科学基金(51206175
51477171)
关键词
工作温度
磷酸铁锂电池
电池特性
SOC估算模型
估算精度
operating temperature
LiFePO4 battery
characteristics of battery
SOC estimation model
estimation accuracy
