Encoder-decoder model for multistep prediction of lithium-ion battery state of health (SOH)

• المؤلف الرئيسي: Ng, Qian Hui
• مؤلفون آخرون: Xu Yan
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2023
• الموضوعات: Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/167218

This paper presents a Bidirectional Long Short-Term Memory (BiLSTM) model for the multistep prediction of lithium-ion battery State of Health (SOH). The proposed model employs a sequence-to-sequence approach, where the encoder receives the input sequence of battery data, and the decoder predicts the...