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The storage of hydrogen in compressed form has evolved as the primary choice for fuel cell vehicle manufacturers. Currently, composite tanks are a mature and promising option for compressed hydrogen storage for the on‐board application. Type IV tank with carbon fiber/epoxy composite with high density polyethylene liner provides high strength, lightweight, and excellent resistance to fatigue and corrosion. However, high pressure and temperature generated during refueling affect the structural stability of the composite tank. The objective of the work is to investigate the mechanical and thermal response of the tank at different refueling conditions specified in SAEJ2601. For this, finite element analysis was used to examine the stresses, strains, deformation, and failure evolution during refueling. The results show good agreement between simulated and experimental reported burst pressure of the tank with 5.52% difference which might be due to the type of carbon fiber used, fiber winding pattern, number of layers, and loading conditions considered for the analysis. The results presented here show some new insight into behavior of composite tanks under dynamic load conditions of refueling.

The main aim of this research work is to provide a comprehensible state of art for the intensification of the utmost decisive task performed by a modern BMS system to monitor and estimate battery states through a well‐entrenched statistical analysis method. In the present work, “multivariate adaptive regression splines” (MARS) method along with principal component analysis (PCA) has been used to develop a predictive model‐based state of charge (SoC) estimator for an NCR 18650PF Lithium ion battery at constant charging c‐rate of 0.3 C and 0.3 C and 0.5 C constant discharge profiles. Time‐weighing factors, that is, voltage‐current and temperature are employed as training datasets, to provide greater impact for developing a SoC MARS model of with high coefficient of correlation R2 (0.9984). The SoC MARS model adequacy is then validated for voltage prediction of the same battery for two different profiles of discharging using NIPALS algorithm for principal component analysis (PCA) with SS2 of 93.69% and 94.23% for profile A and profile B, respectively.

Lithium-ion batteries have a confined frame of stability features in context to voltage and temperature. Abrupt attenuation in the above features may result in safety concerns. The present work provides an imperative experimental single point impedance diagnostic for analysis of external (soft) short-circuit abusiveness as per IEC 62660-2(3) of PANASONIC NCR

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High power density and long cyclic stability are important characteristics that make supercapacitor suitable for many industrial applications. Measurement of equivalent series resistance and capacitance, is a general way to investigate performance of the Electric Double Layer Capacitor (EDLC). In this work, a Panasonic EDLC (10F) was investigated under cyclic degradation and monitored using electrochemical impedance spectroscopy (EIS) characterisation and Randles circuit model. After fitting, it was observed that series resistance was increased up to 80% and parallel capacitance was decreased up to 22%. The EIS data were validated using Kramers‐Kronig Transformation to check causality, linearity, and stability in the system.

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