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Lithium titanium oxide (LTO) batteries offer superior performance compared to graphite-based anodes in terms of rapid charge/discharge capability and chemical stability, making them promising candidates for fast-charging and power-assist vehicle applications. However, commonly used battery models often struggle to accurately describe the current–voltage characteristics of LTO batteries, particularly before the charge/discharge cutoff conditions. In this work, a novel electrical model based on the solid-phase diffusion equation is proposed to capture the unique electrochemical phenomena arising from the diffusion mismatch between the positive and negative electrodes in high-power LTO batteries. The robustness of the proposed model is evaluated under various loading conditions, including constant current and dynamic current tests, and the results are compared against experimental data. The experimental results for LTO batteries exhibit remarkable alignment with the model estimation, demonstrating a maximum voltage error below 3%. [ABSTRACT FROM AUTHOR]

Lithium titanium oxide (LTO) batteries offer superior performance compared to graphite-based anodes in terms of rapid charge/discharge capability and chemical stability, making them promising candidates for fast-charging and power-assist vehicle applications. However, commonly used battery models often struggle to accurately describe the current–voltage characteristics of LTO batteries, particularly before the charge/discharge cutoff conditions. In this work, a novel electrical model based on the solid-phase diffusion equation is proposed to capture the unique electrochemical phenomena arising from the diffusion mismatch between the positive and negative electrodes in high-power LTO batteries. The robustness of the proposed model is evaluated under various loading conditions, including constant current and dynamic current tests, and the results are compared against experimental data. The experimental results for LTO batteries exhibit remarkable alignment with the model estimation, demonstrating a maximum voltage error below 3%.

With the rapid development of renewable energy,the role of energy storage has become increasingly prominent. In terms of sizing problems of shared energy storage to provide primary frequency regulation for multiple renewable energy stations,an optimal energy storage configuration method is proposed aiming to minimize the total cost of shared energy storage investors. Firstly,the empirical distribution of historical frequency data is fitted,and the result is used to generate frequency data to further configure the energy storage. Then,based on the frequency data,an optimal configuration model of energy storage is developed which meets the requirements of primary frequency regulation. The primary frequency regulation constraints,energy storage rate characteristics constraints,and primary frequency regulation participation rate constraints and so on are considered in the optimal configuration model. The model is a mixed-integer linear programming model which can be solved by mature solvers. Finally,the proposed method is simulated and analyzed according to the actual frequency data,and the configuration results of the lithium-ion battery and flywheel are compared. The results show that the total cost can be reduced by installing shared energy storage compared with independent energy storage. Although the capacity of the lithium-ion battery energy storage systems is significantly greater than that of flywheel energy storage systems,the total cost of lithium-ion battery energy storage systems is lower.

This systematic review includes a narrative synthesis and meta‐analysis of research on the associations between primarily non‐autistic people's characteristics and their attitudes toward autistic people. Of 47 studies included in the narrative synthesis, White undergraduate students were surveyed most frequently. Demographic characteristics were the factors most frequently tested for associations with attitudes, followed by contact‐related factors (i.e., quantity and quality), knowledge about autism, trait and personality factors, and other factors that did not fit into a single category. Internal consistency was not reported for some instruments assessing raters' characteristics; some instruments had alpha levels lower than 0.70, and many characteristics of raters were measured using one‐item measures. Moreover, theoretical motivations for investigating the raters' characteristics were rarely provided. A total of 36 studies were included in the meta‐analysis, which showed that attitudes toward autistic people were significantly associated with participants' gender, knowledge about autism, and quality and quantity of their previous contact with autistic people, but not with their age or autistic traits. These findings indicate a need for more studies that focus on context‐related characteristics (e.g., institutional variables such as support/commitment to inclusion), use reliable instruments to measure non‐autistic people's characteristics, and situate their investigation in a theoretical framework. Lay Summary: This review brings together studies that look at the relationships between people's characteristics (things like their knowledge, age, or personalities) and their attitudes toward autistic people. We found 47 relevant studies, many of which had several flaws. Attitudes toward autistic people were related to participants' gender, autism knowledge, and their contact with autistic people, but not to their age or autistic traits. [ABSTRACT FROM AUTHOR]

This systematic review includes a narrative synthesis and meta-analysis of research on the associations between primarily non-autistic people's characteristics and their attitudes toward autistic people. Of 47 studies included in the narrative synthesis, White undergraduate students were surveyed most frequently. Demographic characteristics were the factors most frequently tested for associations with attitudes, followed by contact-related factors (i.e., quantity and quality), knowledge about autism, trait and personality factors, and other factors that did not fit into a single category. Internal consistency was not reported for some instruments assessing raters' characteristics; some instruments had alpha levels lower than 0.70, and many characteristics of raters were measured using one-item measures. Moreover, theoretical motivations for investigating the raters' characteristics were rarely provided. A total of 36 studies were included in the meta-analysis, which showed that attitudes toward autistic people were significantly associated with participants' gender, knowledge about autism, and quality and quantity of their previous contact with autistic people, but not with their age or autistic traits. These findings indicate a need for more studies that focus on context-related characteristics (e.g., institutional variables such as support/commitment to inclusion), use reliable instruments to measure non-autistic people's characteristics, and situate their investigation in a theoretical framework., (© 2022 International Society for Autism Research and Wiley Periodicals LLC.)

The lithium titanate battery, which uses Li 4Ti 5O 12 (LTO) as its anode instead of graphite, is a promising candidate for fast charging and power assist vehicular applications due to its attractive battery performance in rate characteristics and chemical stability. Unfortunately, commonly used battery models, including a large number of enhanced electrical models, become problematic when describing current–voltage characteristics of lithium titanate batteries. In this paper, a novel Butler–Volmer equation-based electric model is employed to outline unique phenomena induced by changing rates for high-power lithium titanate batteries. The robustness of the proposed model for three types of lithium titanate batteries under varying loading conditions, including galvanostatic test and Federal Urban Dynamic Schedule test, is evaluated and compared against experimental data. The experimental results of three types of lithium titanate batteries with common anode materials but differentiated cathode materials show good agreement with the model estimation results with maximum voltage errors below 2%. [ABSTRACT FROM PUBLISHER]

Abstract: We present the framework of generalised supply–demand analysis (SDA) of a kinetic model of a cellular system, which can be applied to networks of arbitrary complexity. By fixing the concentrations of each of the variable species in turn and varying them in a parameter scan, rate characteristics of supply–demand are constructed around each of these species. By inspecting the shapes of the rate characteristic patterns and comparing the flux–response coefficients of the supply and demand blocks with the elasticities of the enzymes that interact directly with the fixed metabolite, regulatory metabolites in the system can be identified and characterised. The analysis provides information on whether and where the system is functionally differentiated and which of its species are homeostatically buffered. The novelty in our proposed method lies in the fact that all metabolites are considered for SDA (hence the term “generalised”), which removes investigator bias. It supplies an entry point for the further analysis and detailed characterisation of large models of cellular systems, in which the choice of metabolite around which to perform a SDA is not always obvious. [Copyright &y& Elsevier]

Abstract: Since the 1970s, with Heinrich as a pioneer in the field, numerous kinetic models of erythrocyte glycolysis have been constructed. A functional comparison of eight of these models indicates that the production of ATP and GSH in the red blood cell is largely controlled by the demand reactions. The rate characteristics for the supply and demand blocks indicate a good homeostatic control of ATP and GSH concentrations at different work loads for the pathway, while the production rates of ATP and GSH can be adjusted as needed by the demand reactions. [Copyright &y& Elsevier]