Los Angeles CA (SPX) May 03, 2024 -
A study conducted by researchers from Northwestern University has revealed a discrepancy in seismic hazard maps, which are instrumental in guiding the construction of earthquake-resistant structures
New York, March 27, 2024 – ACM, the Association for Computing Machinery, and IMS, the Institute of Mathematical Statistics, have announced the publication [.]
Ever-increasing efforts in state of charge (SOC) of lithium-ion battery estimation techniques have been centered on machine learning-based methods, and a prerequisite guaranteeing the effectiveness of these methods demands an abundance of high-quality datasets. However, performing battery-related experiments is time-consuming and expensive, and manufacturers are reluctant to release their datasets due to confidentiality constraints. This limited data availability has hindered further research in this area. This paper proposes a time series augmentation model (TS-DCGAN) based on a deep convolutional generative adversarial framework. By converting the data generation problem into image generation and utilizing the advancements in GAN-based image generation, the proposed method can produce high-quality battery data. The distributional similarity and diversity of generated datasets are evaluated quantitatively and qualitatively with several metrics. The SOC estimator trained on the synthet