Abstract
This paper proposes a battery voltage model that is suitable for variable operation. The model combines the features of the Kinetic Battery Model (KiBaM) and voltage model (VM), and it improves the accuracy and quality of the solution, addressing four characteristics of operation: charging, discharging, rest after charge, and rest after discharge. This model will be known as 4-KiVM and shows low impact on computational burden. The proposed model can keep track of the voltage even when the load is inverted or turned off. To calibrate and validate the model, a NASA-provided dataset was used composed of a battery with variable charges and discharges, simulating real applications. A metaheuristic method based on tabu search is used to extract constants from this dataset and validate this hybrid model. In addition, a comparison of performance of the 4-KiVM against KiBaM, VM, and the electric circuit model (ECM) was made, showing its advantages. The results of the simulations showed a good prediction of the battery voltage response and SOC prediction in random (variable) use.
Highlights
Through the years, battery applications have gained attention toward power system application and mobility solutions
This paper proposes a more detailed model for battery simulation, adding to Kinetic Battery Model (KiBaM) a voltage model (VM) that can be used in several applications
It is remarkable that the KiBaM-based models have an advantage in predicting current behavior while CV is charging, as seen in Figure 8a–c, due the selection of constant k’ for this test
Summary
Battery applications have gained attention toward power system application and mobility solutions. Battery evaluation based only on the SOC provided by the energy injection is quite imprecise [9]; the review made in [10] shows some of the approaches seeking a more accurate representation of batteries behavior. These approaches are related to empirical models [11,12], abstract models [8,13,14], physicsbased models [15,16], and hybrid models [17]. Hybrids models seek to use two or more approaches to improve results [17], each one with tradeoffs
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
