State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles | |
Taimoor Zahid; Kun Xu; Weimin Li; Chenming Li; Hongzhe Li | |
刊名 | ENERGY |
2018 | |
文献子类 | 期刊论文 |
英文摘要 | State of charge estimation is one of the most critical factors to solve the key issues of monitoring and safety concerns of an electric vehicle power battery. In this paper, a state of charge estimation approach using subtractive clustering based neuro-fuzzy system is presented and evaluated by the simulation experiments using advanced vehicle simulator in comparison with back propagation neural network and Elman neural networks. Input parameters to model the state of charge estimation approach using subtractive clustering based neuro-fuzzy system are current, temperature, actual power loss, available and requested power, cooling air temperature and battery thermal factor. Data collected from 10 different drive cycles are utilized for the training and testing stages of the state of charge estimation model. Experimental results illustrated that the proposed model exhibits sufficient accuracy and outperforms both neural network and Elman neural network based models. Thus, the proposed model under different drive cycles show remarkable advancement in state of charge estimation with high potential to overcome the drawbacks in traditional methods and therefore provides an alternative approach in state of charge estimation. In addition, a sensitivity analysis is also performed to determine the importance of each input parameter on output i.e. state of charge. |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/13515] |
专题 | 深圳先进技术研究院_集成所 |
推荐引用方式 GB/T 7714 | Taimoor Zahid,Kun Xu,Weimin Li,et al. State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles[J]. ENERGY,2018. |
APA | Taimoor Zahid,Kun Xu,Weimin Li,Chenming Li,&Hongzhe Li.(2018).State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles.ENERGY. |
MLA | Taimoor Zahid,et al."State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles".ENERGY (2018). |
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