A comprehensive model for battery State of Charge prediction

被引：0
|
作者：
Homan, Bart [1 ]
Smit, Gerard J. M. [1 ]
van Leeuwen, Richard P. [2 ]
ten Kortenaar, Marnix V. [3 ]
机构：
[1] Univ Twente, Comp Architectures & Embedded Syst, Enschede, Netherlands
[2] Saxion Univ Appl Sci, Chair Renewable Energy, Enschede, Netherlands
[3] Dr Ten BV, Wezep, Netherlands
来源：
2017 IEEE MANCHESTER POWERTECH | 2017年
关键词：
Storage; Predictive model; Smart grid; Energy management;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper the relatively simple model for State of Charge prediction, based on energy conservation, introduced in [1] is improved and verified. The model as introduced in [1] is verified for Pb-acid, Li-ion and Seasalt batteries. The model is further improved to accommodate the rate capacity effect and the capacity recovery effect, the improvements are verified with lead-acid batteries. For further verification the model is applied on a realistic situation and compared to measurements on the behavior of a real battery in that situation. Furthermore the results are compared to results of the well-established KiBaM model. Predictions on the SoC over time done using the proposed model closely follow the SoC over time calculated from measured data. The resulting improved model is both simple and effective, making it specially useful as part of smart control, and energy usage simulations.
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收藏
页数：6
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