Wang, Y. and Chen, Z. (2020) A Framework for State-of-Charge and Remaining Discharge Time Prediction Using Unscented Particle Filter. Applied Energy, 260, Article ID: 114324.
https://doi.org/10.1016/j.apenergy.2019.114324

has been cited by the following article:

• TITLE: Improvements to Temperature, Warburg Impedance, and Voltage Computations for a Design-Based Predictive Model for Lithium-Ion Capacitors

  AUTHORS: Davis George Moye, Pedro L. Moss, Dhevathi Rajan Rajagopalan Kannan, Xujie Chen, Omonayo Bolufawi, Wanjun Cao, Simon Y. Foo

  KEYWORDS: Lithium-Ion Capacitor, Randles Equivalent Circuit Model, Butler-Volmer Equation

  JOURNAL NAME: Materials Sciences and Applications, Vol.11 No.6, June 3, 2020

  ABSTRACT: An earlier study manipulated the Butler-Volmer equation to effectively model a lithium-ion capacitor’s (LIC) energy storage as a function of its constituent components and charge current. However, this model had several shortcomings: computed temperature values were too low, voltage was inaccurate, and the model required Warburg impedance values that were two orders of magnitude higher than experimental results. This study began by analyzing the model’s temperature and voltage computations in order to justify output values. Ultimately, these justifications failed. Therefore, in situ temperature rise was measured during charge cycles. Experimental results indicated that temperature increases minimally during a charge cycle (·kg-1) temperature increase is negligible. After it was found that LIC temperature change is minimal during a charge cycle, the model accurately computed LIC voltage during the charge cycle and computed Warburg impedance that agreed with values derived from earlier experimental studies, even falling within the measurements’ precision error.