基于开路电压预测的SOC估算方法

为了得到电池的荷电状态(SOC),提高其测算精度,更广泛适用于电动汽车能量管理系统,通过对锂电池进行恒流充、放电实验方法得到SOC和锂电池开路电压的曲线关系,然后将放电后的电池充分静置得到电压自恢复曲线的分析,再结合锂电池等效电路模型,应用Matlab拟合出锂电池开路电压曲线,从而推导出开路电压的计算公式,完成开路电压的预测。最后将实验结果与理论分析进行了对比,进一步验证了理论和仿真建模的正确性。这种方法克服了开路电压法测量时间长的缺点,能够准确地计算SOC,对电池管理系统有重要意义。     

中国锂产业技术态势研究——基于CiteSpace知识图谱分析

通过文献计量学方法，采用CiteSpace软件对CNKI（知网）数据库中2017—2021年有关锂产业技术创新领域的文献进行统计分析，绘制形成可视化网络图谱。研究结果显示：目前锂产业相关技术领域的研究呈链式结构，从上游锂资源提取到下游的产品应用均有涉及，且涉及面不仅局限于绿色能源电池领域，对于顽固型的精神类疾病和甲状腺功能亢进同样具有药用开发价值。     

Managing the energy trilemma of reliability,affordability and renewables: Assessing consumer demands with discrete choice experiments

In response to the looming climate crisis, many countries are adopting technologies to reduce the accumulation of greenhouse gases. However, national energy policies are often multiobjective and resolution deeply divisive. The result is a policy trilemma between the energy mix and the trade-offs with other policy objectives, including cost and reliability. Utilising a discrete choice experiment (DCE), the objective of this study is to explore Australian household preferences for alternative electricity contracts containing features reflecting changes in future energy policy. The first set of features include investments in renewable generation and community-based energy storage. The second set of features reflect demand-side management policies, including installing smart meters and consumption limits being imposed on households during peak demand. Two versions of the DCE were developed to obtain both willingness to pay and willingness to accept estimates for the same features. In line with the literature, differences in the two sets of estimates were observed, with the willingness to accept estimates being statistically larger for some features. These dollar value measures can be used to support public policy decision-making – the choice of which depending on the context of the policy problem being considered.