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| 摘要： (EVs), particularly low temperature and low SoC. In this paper, an improved battery model is first built using a feedforward neural network (FFNN) by introducing newly defined inputs. Based on the FFNN model and the extended Kalman filter algorithm, a FFNN-based SoC estimation method is designed, and its robustness is verified and discussed using the experimental data obtained at different temperatures. Finally, a hardware-in-loop test bench is built to further evaluate the real-time and generalization of the designed FFNN model. The results show that the SoC estimation can converge to the reference value at erroneous settings of an initial SoC error and an initial capacity error, and the SoC estimation errors can be stabilized within 2% after convergence, which applies to all the cases discussed in this paper, including low temperature and low SoC. This indicates that the FFNN-based method is an effective method to estimate SoC accurately in complex EV application environment. |
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图1 Results of SoC estimation in cases of an inaccurate initial SoC value: (a) estimated and measured voltage and (b) voltage error; (c) estimated and reference SoC and (d) SoC error. | 
图2 Results of SoC estimation at ?10?°C: (a) estimated and measured voltage and (b) voltage error; (c) estimated and reference SoC and (d) SoC error; (e) estimated and reference capacity and (f) capacity error. | 引文信息： Cheng Chen,Rui Xiong,Ruixin Yang,Weixiang Shen,Fengchun Sun. State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter[J]. (下载链接) | 其他相关论文： 1. Shuangqi Li,Hongwen He,Jianwei Li. Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology[J]. Applied Energy,2019,242.（下载链接）
2. M.S.Hossain Lipu,M.A. Hannan,Aini Hussain,Afida Ayob,Mohamad H.M. Saad,Tahia F. Karim,Dickson N.T. How. Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends[J]. Journal of Cleaner Production,2020. (下载链接)
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