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Predicting the remaining useful life (RUL) of a battery is critical to ensure the safe management of its manufacture and operation. In this study, a comprehensive investigation of the effect of data partitioning methods on RUL prediction was performed. To confirm the generality and transferability, the charge–discharge information of cathode materials with different chemical elements was adopted from previous research, including lithium iron phosphate, lithium nickel cobalt aluminum oxide, and lithium nickel cobalt manganese oxide cells. Among the partitioning procedures, the method of adding predicted data from the surrogate model to the training set exhibited the best accuracy, with an average mean absolute error (MAE) of 47 cycles. In contrast, the slide BOX method, which only used certain cycles before the test set as the training set, exhibited the worst MAE value of 60 cycles. In conclusion, the proposed data partitioning method could be implemented to predict the RUL of batteries to develop next-generation cathode materials with improved performance and stability, shorten the quality assessment time, and achieve stable predictive maintenance.

Recently, power conversion systems (PCSs) have exhibited high efficiencies and miniaturisation, and this trend is expected to grow in the future. An important component of the PCS, which accounts for a significant portion of its volume, is the transformer (TR). However, it is difficult to achieve a significant increase in the efficiency and reduction in the volume of a PCS using a conventional TR, as the conventional TRs do not offer much scope for further optimisation. To overcome this limitation imposed by the conventional TRs, a novel and practical high-frequency coaxial TR, named the shell-type coaxial TR (SCTR), is proposed in this work. A useful and strategic analysis and design method, which covers the overall development process from the design stage to the experimental validation stage of the proposed high-frequency SCTR, is also proposed. The usefulness of the proposed SCTR and the analysis and design method are verified by designing an SCTR for a 50 W DC/DC converter and conducting experiments on it. It is found that the use of the proposed technique can cause a significant increase in the efficiency and power density of the PCS