Work

SOC Estimation Based on Time Series Neural Network and Its Performance Evaluation

Year: 2020

Type: conference-paper

Abstract: Aimed at the disadvantage of state of charge (SOC) estimation by using traditional feed forward neural network, a new method proposed to soleve the problem. The time series neural network is introduced to estimate the SOC. The experiments results show that the time series neural can estimate the SOC more accurate. In addition, the different structures and the key parameter are discussed to achieve the best performance.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/1650/3/032072

Authors: Jianhua Li, Mingsheng Liu, Yanmei Jiang

Institutions: Hebei University of Technology, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Shijiazhuang Tiedao University, Shijiazhuang Institute of Railway Technology, Hebei Jiaotong Vocational and Technical College

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W3095080098

FWCI:

Cites: 8

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Related to: 10