Battery technology has been one of the bottlenecks in electric cars. Whether it is in theory or in practice, the research on battery management is extremely important, especially for battery state-of-charge estimation. In fact, the battery has a strong time-varying and non-linear properties, which are extremely complex. Therefore, accurately estimating the state of charge is a challenging task. This paper reviews various representative patents and papers related to the state of charge estimation methods for an electric vehicle battery. According to their theoretical and experimental characteristics, the estimation methods were classified into three groups: the traditional methods based on the battery experiments, the modern methods based on control theory, and other methods based on the innovative ideas, especially focusing on the algorithms based on control theory. The results imply that the algorithms based on control theory, especially intelligent algorithms, are the focus of research in this field. The future development direction is to establish a rich database, improve hardware technology, come up with a much better battery model, and give full play to the advantages of each algorithm.

In this study, an ultrasensitive surface-enhanced Raman scattering (SERS) detection of alkaline phosphatase (ALP) has been developed, in which nile blue A (NBA) was chosen to replace nitro blue tetrazolium chloride (NBT) in a reactive system of 5-bromo-4-chloro-3-indolyl phosphate (BCIP), NBT, and ALP.

A quick-intelligent handle evaluation system for fabrics (QIHES-F) was developed to evaluate tactile perceptions of fabric by measuring thickness and multiple mechanical properties of fabrics via a single testing process. The main aim dealt with in this study was to establish optimal and suitable regression models by a stepwise regression method based on the QIHES-F and human sensations of fabrics, thereby estimating total handle values effectively. Subjective evaluation by American Association of Textile Chemists and Colorists EP5-2007 and objective tests by QIHES-F of a wide range of 50 fabrics were conducted, to predict fabric handle from four primary handle characteristics and total handle values. Five prediction models corresponding to the fullness, stiffness, roughness, tightness and total handle of fabrics were built based on featured indexes to analyze the relationship between the subjective handle and experimental curve parameters. The indexes were featured from the force-displacement curves of QIHES-F. The results show that these featured indexes can be treated as indicators to characterize fabric properties, and that the five corresponding prediction models can predict handle characteristics of fabrics reliably, as the Pearson’s coefficients and adjusted coefficients are high. They indicate that QIHES-F can directly and accurately obtain fabric handle values and can evaluate the grades of fabric quality.

Here we present a sensitive, non-invasive, and label-free detection method for successful identification and discrimination of the BLM-induced EMT in ATII cells, which is based on the TAT-functionalized AuNSs as intracellular SERS probes.

To achieve the surface‐enhanced Raman scattering (SERS) method for thermal neutron detection, 4‐mercaptophenylboronic acid (4‐MPBA), a natural boron‐containing and high intrinsic Raman‐active compound, was used as a detection material, and after the fission of boron‐10(10B) isotope capturing thermal neutrons, parts of 4‐MPBA molecules were converted into thiophenol. Based on SERS substrates of gold nanoshells, the conversion was sensitively quantitative by SERS spectra of the two molecules to indicate the dose of thermal neutrons. The conversion was proportional to the radiation time and reversely proportional to the distance to the radiation source. The detection limit is 5.6 μGy and 33.6 μGy corresponding to the 4‐MPBA adsorbed on solid‐phase substrates and dissolved in solvent, respectively. The SERS method for thermal neutron detection would provide a simple and new way for neutrons utilization, administration, and radiation protection.