Temperature Fluctuations Research Articles

Modeling the current and future habitat suitability of clematis tangutica (ranunculaceae) on the qinghai-tibet plateau based on an ensemble method.

This research explores the impact of environmental changes on the distribution of Clematis tangutica, providing theoretical support for its conservation, development, utilization, and early warning monitoring of potential impacts on the ecological environment and local plant communities. An ensemble model in R was used to simulate the suitable habitats of Clematis tangutica on the Tibetan Plateau, integrating climate, topography, and soil variables. Simulations were conducted under three distinct future climate scenarios. The ensemble model exhibited superior performance, as indicated by a true skill statistic of 0.9203, compared to the individual models. Clematis tangutica primarily occupies the eastern Tibetan Plateau, with optimal habitats predominantly located in western Sichuan Province. Regions of inadequate suitability encompass approximately 69.72% of the total area (equivalent to approximately 1743 thousand square kilometers), while highly suitable areas constitute about 5.48% (equivalent to approximately 137 thousand square kilometers). In the future, as the temperature rises on the Qinghai-Tibet Plateau, overall precipitation is expected to increase, though regional differences will exist, particularly the SSP245 scenario in the 2050s, the centroid of Clematis tangutica distribution is projected to shift northwest, potentially providing favorable conditions. The distribution pattern of Clematis tangutica is strongly influenced by fluctuations in temperature and elevation, as these factors directly affect the plant's ability to thrive in specific regions. Changes in these variables may alter its future distribution, particularly under climate change scenarios. There is a tendency for the center of mass of Clematis tangutica to migrate northwest under future climatic conditions.

RNA Stability: A Review of the Role of Structural Features and Environmental Conditions

The stability of RNA is a critical factor in determining its functionality and degradation in the cell. In recent years, it has been shown that the stability of RNA depends on a complex interaction of external and internal factors. External conditions, such as temperature fluctuations, the level of acidity of the environment, the presence of various substances and ions, as well as the effects of oxidative stress, can change the structure of RNA and affect its stability. Internal factors, including the specific structural features of RNA and its interactions with protein molecules, also have a significant impact on the regulation of the stability of these molecules. In this article, we review the main factors influencing RNA stability, since understanding the factors influencing this extremely complex process is important not only for understanding the regulation of expression at the RNA level but also for developing new methods for isolating and stabilizing RNA in preparation for creating biobanks of genetic material. We reviewed a modern solution to this problem and formulated basic recommendations for RNA storage aimed at minimizing degradation and damage to the molecule.

Diurnal temperature variation in surface soils: an underappreciated control on microbial processes

Large diurnal temperature changes (ΔT) (or the diurnal temperature range (DTR)) in surface soils, ranging from 5°C to often greater than 20°C, are generally acknowledged to occur yet largely disregarded in studies that seek to understand how temperature affects microbially-mediated carbon and nitrogen cycling processes. The soil DTR is globally significant at depths of 30 cm or less, occurring from spring through summer in temperate biomes, during summer periods in the arctic, and year-round in the tropics. Thus, although temperature has long been considered an important factor in controlling microbial processes, our understanding of its effects remains incomplete when considering natural soil temperature cycles. Here we show: (1) documented impacts of diurnal temperature changes on microbial respiration rates; (2) documented observations of surface soils with large DTR (>5°C) that affect soil microbial mineralization rates and redox potentials of important biogeochemical reactions; and (3) direct evidence that the constant temperature regime typically used in laboratory soil incubation studies may therefore lead to mischaracterization of in situ temperature controls on microbially influenced processes in the environment. The overall effect is that the DTR yields process rates that are often higher than what has been observed under experimental mean temperature incubation. We suggest that overlooked genetic mechanisms, such as the presence of a circadian clock or thermophilic activity during summer months, are likely contributing to the observed effects of the DTR. To improve our understanding of climate change effects on soil greenhouse gas emissions, nutrient cycling, and other biogeochemical soil processes, we propose a paradigm shift in approach to temperature-inclusive process modeling and laboratory incubation studies that accounts for the important role of natural diurnal temperature fluctuations.

Simulated winter climate change reveals greater cold than warm temperature tolerance in Chrysolina polita (Coleoptera: Chrysomelidae).

Climate change is expected to lead to rising winter temperatures in temperate zones, coinciding with a decrease in winter snow cover. Insects adapted to winter conditions in the temperate zone might be exposed to changing winter conditions and higher temperature fluctuations, which can affect diapause and mortality. We studied the effects of climate change on Chrysolina polita, a temperate zone species overwintering as an adult in the shallow surface of the soil. We tested the effects of increased and fluctuating temperature on the mortality and body composition of the beetles in a laboratory environment, as well as the effects of snow cover removal on the mortality and body mass in field conditions. We found that in the laboratory study, a 2 °C increase in mean temperature increased mortality and resulted in increased lipid consumption, whereas temperature fluctuation caused desiccation of the beetles but did not affect mortality compared to the control condition. In the field study, the snow removal caused the mean soil temperature to decrease by 3 °C and fluctuate (ranging from -26.4 to 2.5 °C compared to a range of -1.7 to 0.5 °C in the control), yet these differences did not affect beetle mortality or body mass. We conclude that C. polita exhibits greater resistance to cold temperatures than to higher temperatures during diapause. Therefore, the rising temperatures associated with climate change can pose challenges for overwintering.

The Study on the Freeze–Thaw Deterioration of Soil Sites Modified with the ZDS-2 Organosilicon Reinforcement Agent

Due to the large temperature fluctuations between day and night during the transition from winter to spring, soil sites in seasonally frozen soil areas go through repeated freeze–thaw cycles. During these cycles, the water in the soil undergoes phase transformation and migration, which changes the physical and mechanical properties of the soil and directly affects the stability and durability of the soil site. In order to explore the feasibility of using the ZDS-2 organosilicon reinforcement agent for the anti-freeze-and-thaw protection of soil sites, Qingtai site soil and the ZDS-2 organosilicon reinforcement agent were used as raw materials. The optimal ratio of modified soil samples with different freeze–thaw cycles was obtained by laboratory tests. The strengthening mechanism of the ZDS-2 organosilicon reinforcement agent under freeze–thaw cycles was revealed by a microscopic test. The test results showed that the ZDS-2 organosilicon reinforcement agent can inhibit the volume expansion of soil samples caused by the freeze–thaw cycle. After nine freeze–thaw cycles, the shear strength of the soil samples, to which 15% ZDS-2 organosilicon reinforcement agent was added, increased by 53.4% on average compared with plain soil. The highly cross-linked organic–inorganic hybrid network structure formed between the siloxane group in the ZDS-2 organosilicon reinforcement agent and the soil particles can fill the pores and form a protective layer. The experimental results provided a basis and reference for the research of freeze–thaw-resistant materials for soil sites in seasonally frozen soil areas.

Temperature Control Strategy for Hydrogen Fuel Cell Based on IPSO-Fuzzy-PID

Hydrogen fuel cell water-thermal management systems suffer from slow response time, system vibration, and large temperature fluctuations of load current changes. In this paper, Logistic chaotic mapping, adaptively adjusted inertia weight and asymmetric learning factors are integrated to enhance the particle swarm optimization (PSO) algorithm and combine it with fuzzy control to propose an innovative improved particle swarm optimization-Fuzzy control strategy. The use of chaotic mapping to initialize the particle population effectively enhances the variety within the population, which subsequently improves the ability to search globally and prevents the algorithm from converging to a local optimum solution prematurely; by improving the parameters of learning coefficients and inertia weight, the global and local search abilities are balanced at different stages of the algorithm, so as to strengthen the algorithm’s convergence certainty while reducing the dependency on expert experience in fuzzy control. In this article, a fuel cell experimental platform is constructed to confirm the validity and efficiency of the recommended strategy, and the analysis reveals that the improved particle swarm optimization (IPSO) algorithm demonstrates better convergence performance than the standard PSO algorithm. The IPSO-Fuzzy-PID management approach is capable of providing a swift response and significantly diminishing the overshoot in the system’s performance, to maintain the system’s safe and stable execution.

Fano resonance and exceptional point enhanced sensing in a grating coupled heterostructure

Fano resonance line shape performs ultrasensitive sensing characteristics as its ultrahigh quality factor. Here, we theoretically investigate the sensitivity and figure of merit (FOM) of a novel, to our knowledge, multilayered heterostructure as a sensor. The heterostructure is non-Hermitian and composed of one layer of gold grating, multilayer polyethylene, and polymethyl methacrylate. The rigorous coupled wave analysis method (RCWA) is used to investigate the reflection characteristics of the structure. Interference between the “dark mode,” excited by the grating, and the “bright mode,” excited by the central layers, produces Fano resonance in the forward reflection spectra. Adjustment on the structure parameters can reduce the valley value of the Fano peak to zero, giving rise to scattering exceptional points (EPs). At the wavelength of the EP, the ambient temperature and mechanical stress fluctuations will lift the reflection, available for sensing signal. The sensitivity is higher than that of the structure without Fano peaks and EPs. Moreover, we use the spectral shift for refractive index sensing with a FOM exceeding 200RIU−1.

TERMOELEKTRIK GENERATOR DAN FUNGSINYA

This article summarizes and reviews various journals on the performance, applications, and development of Thermoelectric Generators (TEG) that convert temperature differences into electrical energy through the Seebeck effect. The aim of this review is to provide a comprehensive overview of advancements in TEG technology and its potential in enhancing energy efficiency and renewable energy utilization. The methodology includes a literature review of research methods applied in previous studies, including simulations and experiments aimed at improving TEG efficiency. Some studies also integrate TEG with phase change materials (PCM) to harvest energy from ambient temperature fluctuations. The review findings indicate that innovations in TEG materials and design can significantly improve the efficiency and sustainability of this technology. Additionally, this article discusses the applications of TEG in various fields, such as waste heat recovery from industrial processes and vehicles, as well as in wearable devices to harvest energy from body heat. A table presenting research methods and comparisons of previous studies is included to offer a thorough view of current developments in TEG technology. The conclusion of this review is that TEG has significant potential as a solution for waste heat recovery, wearable device applications, and as an efficient renewable energy source. The article also provides recommendations for future research, including the development of new materials and more optimal designs, to address existing challenges and maximize the potential of TEG.

Spatiotemporal Variation of Land Surface Temperature and Urban Heat Islands in Dhaka City: A Geospatial Approach

Rapid urban population growth and widespread urbanization are common occurrences in the modern world. They cause several negative repercussions among which Urban Heat Island (UHI) is the most widely recorded occurrence. The population of Dhaka city has increased by 12.64 million from 2011 to 2021 and the temperature by 0.57ᵒ C in the recent decade. Therefore, the city is facing increased public health-related problems associated with high temperatures, outbreaks of diseases, and scarcity of safe drinking water. Considering these matters, this study explores the spatiotemporal changes in Land Surface Temperature (LST) over the last twenty years and the present condition of heat islands. The city was found 3.9 °C warmer than the surrounding rural areas in 2022. The results also show recurring fluctuations in temperature together with a positive change in temperature during the study period. A year of high temperatures follows a gradual decrease in temperatures in the next two years, and a year of low temperatures follows several gradual increases in temperature. It is expected from the result that the upcoming two years (2023 and 2024) will be warmer than the last three years. The findings may provide insight into how LST and UHI fluctuate and aid in developing strategies to lessen their negative consequences. The Dhaka University Journal of Earth and Environmental Sciences, Vol. 13(1), 2024, P 1-19

Explore the operational performance of phase change radiation terminal heating system in different heating zones of China

IntroductionHeating is one of the main factors leading to high energy consumption and serious carbon emissions in buildings. The clean heating system formed by the coupling of phase change building maintenance structure and solar heating system can improve the thermal storage density of the building maintenance structure, while reducing energy consumption in winter while maintaining a comfortable room temperature through stable energy security.MethodsTherefore, a phase change radiation terminal heating (PCRTH) system with the phase change radiation module as the terminal and the solar energy and air energy as the clean heat source is established in this study. Nanjing, Tianjin and Shenyang in China were selected as the study zones which correspond to the hot summer and cold winter zone, the cold zone and the severe cold zone respectively. The operational effect of the PCRTH system in different climate zones was studied, and the parameters of the PCRTH system were optimized by the GenOpt program combined with Hooke-Jeeves optimization algorithm.ResultsThe analysis results show that the cascade phase change radiation terminals in the three zones reduced room temperature fluctuation, energy consumption and carbon dioxide emissions, but the heating cost was higher. After the Hooke-Jeeves optimization algorithm was used to optimize the PCRTH system parameters in three zones, the PCRTH system heating cost was reduced, and the PCRTH system energy consumption and PCRTH system carbon dioxide emissions were further reduced.DiscussionTherefore, the building heating system composed of PCM maintenance structure and renewable energy has great application advantages in maintaining a comfortable room temperature and improving heating system energy conservation and environmental protection.

Resilience of Chinese Ports to Tropical Cyclones: Operational Efficiency and Strategic Importance

This study evaluated the resilience of five major Chinese ports—Shanghai, Tsingtao, Shenzhen, Xiamen, and Qinzhou—against the impacts of tropical cyclones. These ports, as integral global maritime supply chain nodes, face rising vulnerabilities from climate-related disruptions such as typhoons, sea-level rise, and extreme temperature fluctuations. Employing a resilience assessment framework, this study integrated climate and operational data to gauge how cyclone-induced events affect port performance, infrastructure, and economic stability. Multi-centrality analysis and the Borda count method were applied to assess each port’s strategic importance and operational efficiency under cyclone exposure. The findings highlight variations in resilience across the ports, with Shanghai and Tsingtao showing heightened risk due to their critical roles within international logistics networks. This study suggests strategies like strengthening infrastructure, improving emergency responses, and adopting climate-resilient policies to make China’s ports more sustainable and resilient to climate threats. This research offers actionable insights for policymakers and port authorities, contributing to a more climate-resilient maritime logistics framework.

Weak effect of temperature fluctuations on the invasion of Raphidiopsis raciborskii (Cyanobacteria) in experimental plankton microcosms.

Biological invasions are a major threat for many aquatic ecosystems. In contrast to higher plants and animals, microbial invasions are less obvious and more difficult to detect. One of the most prominent microbial invaders is the cyanobacterium Raphidiopsis raciborskii. To better understand the environmental conditions favoring its invasion success, we studied invasion under three different temperature regimes (one constant and two variable) in experimental plankton communities by invader addition experiments. To account for intraspecific variation, we tested four different strains of R. raciborskii and the mixture of them. Invasion success of R. raciborskii was higher under constant temperature conditions than under fluctuations suggesting that the resident species responded faster to the environmental changes than the invaders. We observed a clear strain-specific effect, demonstrating that strain identity is an important determinant of invasion success. The interaction of temperature fluctuations and strain identity indicates that, among the tested strains, the response to the temperature regimes varied. The mixture of all four strains did not perform better than the best single strain showing no sign of a positive genetic diversity effect. In our experiment, environmental fluctuations did not widen a window of opportunity for the invasion of R. raciborskii.

IGBT Junction Temperature Estimation Based on External Parameters of Multiple Drive Devices in Practical Industrial Scenario

ABSTRACTThe insulated gate bipolar transistor (IGBT) is one of the most important power semiconductor devices in power electronics and is also prone to failure. High junction temperature and junction temperature fluctuation of IGBT are the main causes of IGBT module aging failure. The high‐precision monitoring of the junction temperature of the IGBT module is a prerequisite for IGBT life prediction, which is crucial for reducing maintenance costs and improving equipment reliability. Therefore, an IGBT junction temperature estimation method based on long short‐term memory (LSTM) neural network and sliding window estimation model is proposed and applied in practical industrial scenarios. This method uses the operating data of the motor drive device in the actual industrial application scenario as the training and test data set and uses the external operating parameters of the IGBT module to estimate the junction temperature of the IGBT module. Compared with the internal operating parameters of the IGBT module based on switching transient, the external operating parameters are easier to collect and process, and more suitable for practical application scenes. A sliding window estimation model is proposed to estimate the junction temperature of the IGBT module. Compared with the point‐to‐point estimation method, the sliding window estimation method can capture the influence of historical operation data better and has a higher capability of time series data estimation. The IGBT junction temperature estimation of sliding windows is realized by the LSTM neural network, which is more suitable for time series estimation in real industrial scenarios. The experimental results show that the estimation accuracy of the sliding window estimation method is better than that of the point‐to‐point estimation method, and the accuracy of the sliding window estimation method based on LSTM is better than that of the sliding window estimation method based on other machine learning models. It proves that the proposed method can better capture the dynamic process of the system and has higher estimation accuracy.

Revisiting Mo‐Doped SrFeO3‐δ Perovskite: The Origination of Cathodic Activity and Longevity for Intermediate‐Temperature Solid Oxide Fuel Cells

AbstractThe development of cathode materials for rapid and durable oxygen reduction reaction (ORR) is of great importance for intermediate‐temperature solid oxide fuel cells (IT‐SOFCs). Here, we reported a rationally designed minor acidic MoO3 incorporated SrFeO3‐δ‐based perovskite oxide, SrFe0.93Mo0.07O3‐δ instead of normally heavily doped one, with stable cubic phase, exceptional ORR activity, strong Sr segregation resistance and CO2 tolerance as a reliable cathode for IT‐SOFCs through a combined strategy of smith acidity and average metal‐oxygen bond energy regulations. Theoretical investigation on the origin of nonstoichiometric and associated electronic structure properties shows that significant hybridization of the Fe‐3d and O‐2p state, reduced oxygen vacancies formation energy and eased bulk oxide ion diffusivity through controllable amount of Mo‐doping contribute to remarkable ORR activity. The single cell with SrFe0.93Mo0.07O3‐δ cathode exhibits a peak power density of 0.24–1.12 W cm−2 at 600–800 °C, and excellent stability for 270 h at 700 °C. Furthermore, the single cell demonstrates excellent thermal cycling robustness and well‐integrated interfaces without any performance degradation after undergoing 20 rapid temperature fluctuations throughout 500 h. Therefore, this work embodies a combined strategy for designing active perovskite cathode and highlights the great potential for IT‐SOFCs as validated by multiple perspective considerations.

Exploring Microgravity’s Effect on Seed Germination and Growth of Plants

The study of the effects of microgravity on plant cells has gained significant attention, especially in the context of space experiments, which necessitates a comprehensive understanding of plant growth and development in altered gravitational conditions. Understanding the impact of microgravity on seed germination, seedling establishment, and overall plant development is essential for future space agriculture and the development of sustainable food production systems. In microgravity, plants encounter unique physical and physiological challenges, making it essential to explore the physiological and biochemical responses of plant cells to this environment. Various factors contribute to the alterations observed in plant behavior under microgravity, including changes in water and nutrient distribution, disruptions in hormone signaling, and modifications in the expression of secondary metabolites. Physiological and biochemical in plants due to microgravity caused by the influence on the phytochrome system, gas exchange photosynthesis, and the production of secondary metabolites. Microgravity affects mechanocellular responses of plants which elucidates how the absence of gravity can disrupt cytoplasmic streaming, impact cell wall rigidity, and cause damage to cell membranes. These alterations in plant cell behavior under microgravity conditions can have profound implications for plant growth and development. Space farming faces challenges and constraints of cultivating plants in space, such as managing water distribution, temperature fluctuations, and radiation exposure, are addressed. Innovative methods for planting crops in space, including plant pillows, greenhouse cultivation, and soil-less systems, are discussed. In the future, research efforts should focus on selecting or genetically modifying plant varieties with enhanced tolerance to the diverse stress encountered in space environments. Thus, it is concluded that space farming underscores the importance of comprehensive studies on plant responses to microgravity, offering valuable insights for both space exploration and terrestrial agriculture.

Research on Junction Temperature Smooth Control of SiC MOSFET Based on Body Diode Conduction Loss Adjustment

In a converter of actual working condition, the change in the current and voltage of the power device will cause the junction temperature to fluctuate greatly. This device is subjected to high thermal stress due to the change in the junction temperature. Therefore, it is necessary to adopt junction temperature control to reduce or smooth the junction temperature fluctuation, so as to realize the junction temperature control and improve the reliability of the device. At present, the methods for the junction temperature control of power devices have certain limitations and there are few active thermal management methods proposed for SiC device characteristics. In this paper, a method for realizing the smooth control of the junction temperature of a SiC device based on the conduction loss adjustment of the body diode for the SiC device has been proposed, considering that the conduction loss of the body diode is greater than the conduction loss of the SiC MOSFET. The conduction time of SiC MOSFET body diode was adjusted. By adjusting the conduction loss of the SiC MOSFET device, the fluctuation range of the junction temperature of the SiC MOSFET device was controlled, the smooth control of the junction temperature of the SiC device was realized, and the thermal stress of the device was reduced.

Experimental Study of Conduction Heat Transfer Using Paraffin Phase Change Material on Bricks

This research examines the effect of bricks enhancement with phase change material (PCM) consisting of paraffin on their thermal considerations. The experimental methods were aimed at investigating the mechanisms of temperature transfer throughout the thermal rounds, mimicking diurnal fluctuations of temperature. Due to the high amount of latent heat contained in paraffin a portion of it was transferred into regular bricks with temperature probes tracing the heat processes. It is shown that enhancement of bricks with PCM reduced temperature range and controlled the rate of heat transmission more than the ordinary bricks did. It was significant that the PCM-embedded bricks did not drift in heat and were able to stock up excess heat during the day and release it at night which resulted in monumental energy efficiency and comfort in thermal standing. The conversation additionally seeks to bring out the function of paraffin in insulation which does not only save energy consumption but goes forward to maintain comfortable temperatures within the building. The study finally achieved its goal and assert that energy saving with the use of PCM enhanced bricks in construction makes it a preferable material in regards to energy and the fight against climate change.

Suppression of core temperature fluctuations by edge cooling in the J-TEXT tokamak

Abstract The suppression of core temperature fluctuations due to edge cooling in the J-TEXT tokamak is presented. The supersonic molecular beam is injected into the low density plasmas and the core temperature rise appears. The staggered time correlation technique is utilized to infer the temperature fluctuations from an electron cyclotron emission radiometer (ECE). The existing correlation ECE (CECE) also enables the observation of the temperature fluctuations simultaneously. A significant flattening of the density gradients appears almost in the whole plasmas after the cold pulse injection. The behaviors of the temperature fluctuations from both ECE and CECE show a good agreement, except for the fluctuation level, which exhibits a relative variation of approximately 10% − 50%. The relative intensity of temperature fluctuations decreases within the surface of r / a ∼ 0.8 due to the edge cooling. The cross-power analysis and the agreement in measurements suggest that temperature fluctuations from turbulence inferred from a single ECE channel may be possible. Linear simulations suggest the drop in temperature fluctuation intensity may relate to the trapped electron mode turbulence stabilization. This paper also demonstrates the evolution of both gradients and fluctuations before and after supersonic molecular beam injection with density scans.

Pavement Materials for Adapting Climate Change

Pavement materials that minimize water infiltration are essential in addressing performance issues caused by temperature and moisture fluctuations, which often lead to cracking, rutting and other forms of degradation. To combat these challenges, innovative materials and climate-responsive pavement designs have been developed, incorporating recycling methods and region-specific mix designs to withstand climatic stresses and reduce maintenance costs. Porous pavements are particularly effective in managing climate-related challenges. Engineered to allow water infiltration, they reduce surface runoff, mitigate urban flooding and enhance road safety. In high-rainfall areas, their permeable structure lowers risks such as hydroplaning and surface water accumulation. In colder regions, they minimize freeze-thaw damage by facilitating water drainage which helps prevent ice formation and reduces pavement cracking. The inclusion of polymers and fibers in these materials enhances their strength, durability and lifespan. Additionally, porous pavements contribute to urban cooling through evaporative processes, mitigating the urban heat island effect. They also support groundwater recharge, aligning with sustainable water management practices. By decreasing maintenance needs and environmental impact, porous pavements play a vital role in creating climate-resilient infrastructure that promotes urban safety and sustainability while conserving resources.

Estimation of the RUL of Alkaline Batteries in EV by using Machine Learning Algorithm

The attention on battery longevity and performance has increased due to the quick uptake of electric cars (EVs) as a sustainable substitute for conventional internal combustion engine vehicles. The foundation of EV technology, batteries control the vehicle's dependability, efficiency, and range. With their distinct chemical characteristics, alkaline. Batteries are one of the various battery varieties that may be advantageous for specific EV applications. However, a variety of variables, including charge-discharge cycles, temperature fluctuations, and usage patterns, affect their life cycle and efficiency. To maximize performance, lower maintenance costs, and guarantee user safety, it is crucial to precisely calculate these batteries' Remaining Useful Life (RUL). Conventional approaches to RUL prediction frequently depend on statistical methods or empirical models, which might not take into consideration the intricate relationships between the factors influencing battery deterioration. For a potential solution to this issue machine learning (ML) algorithms, which can examine big datasets and reveal hidden patterns. This study intends to provide a reliable framework for forecasting the RUL of alkaline batteries in EVs by utilizing cutting-edge machine learning models. This will ultimately help to enhance battery management systems and encourage the wider use of EV technology.