Ambient Temperature Fluctuations Research Articles

Convolutional denoising for large-volume Seebeck calorimeter

Ambient temperature fluctuations can affect the thermal noise and sensitivity of a large-volume Seebeck calorimeter. This paper proposes that a reference cell considerably smaller than the sample cell in the apparatus can effectively neutralize this noise. It is found that the thermal signals from both the reference and sample cells exhibit a convolution relationship. By deconvolving two distinct thermal pulses generated by abrupt changes in cooling fluid temperature, one from the reference cell and one from the sample cell, a corresponding response function is derived. And using this function, the noise is canceled out by subtracting the convoluted signal of the reference cell from that of the sample cell during isothermal calorimetry. Experimentally, utilizing this technique with two calorimeters, one with a 17.6-liter capacity and the other with a 27-liter capacity, has been shown to reduce noise by at least 5 % and 6 % from their initial values, respectively.

Radiation synthesis of covalently/non-covalently coupled all ionic liquid-based Ionogels with rapid self-healing, environmental tolerance for multifunctional ionic skin

As novel artificial ion-conducting materials with skin-like functionalities, Ionic skins (I-Skins) have attracted wide attention in the field of smart wearables. Nonetheless, the crucial hurdle of maintaining their properties in extreme conditions, such as cold, hot or long-term storage, persists. Herein, ionic liquid monomers, ionic liquid solvents, and ionic liquid cross-linkers are employed to facilitate covalently/non-covalently coupled all ionic liquid-based Ionogel for multimodal artificial I-skin through electron beam irradiation under mild conditions at the first time. Profiting from the covalently/non-covalently interactions in the Ionogel, the Ionogel has tunable mechanical properties, excellent environmental adaptability (−60 to 150 °C), long-term stability (90 days), fast response time (0.1 s), rapid self-healing ability (120 s recovery to 90 % of original), and favorable adhesion properties. Moreover, Ionogel sensors possess the remarkable capability to accurately perceive external stimuli, including strain, temperature, and humidity, similar to human skin, which can effectively monitor human movement behavior, as well as fluctuations in ambient temperature and humidity. It is expected that this all ionic liquid-based Ionogel sensor can fill the gap of I-Skin in extreme conditions and realize multifunctional flexible sensing, thus expanding more application scenarios.

A Novel Methodology for Measuring Ambient Thermal Effects on Machine Tools.

Large machine tools are critically affected by ambient temperature fluctuations, impacting their performance and the quality of machined products. Addressing the challenge of accurately measuring thermal effects on machine structures, this study introduces the Machine Tool Integrated Inverse Multilateration method. This method offers a precise approach for assessing geometric error parameters throughout a machine's working volume, featuring a low level of uncertainty and high speed suitable for effective temperature change monitoring. A significant innovation is found in the capability to automatically realise the volumetric error characterisation of medium- to large-sized machine tools at intervals of 40-60 min with a measurement uncertainty of 10 µm. This enables the detailed study of thermal errors which are generated due to variations in ambient temperature over extended periods. To validate the method, an extensive experimental campaign was conducted on a ZAYER Arion G™ large machine tool using a LEICA AT960™ laser tracker with four wide-angle retro-reflectors under natural workshop conditions. This research identified two key thermal scenarios, quasi-stationary and changing environments, providing valuable insights into how temperature variations influence machine behaviour. This novel method facilitates the optimization of machine tool operations and the improvement of product quality in industrial environments, marking a significant advancement in manufacturing metrology.

Inferring primary particle size distribution and thermal accommodation coefficient of soot aggregate across diverse ambient temperatures using laser-induced incandescence

Laser-induced incandescence (LII) technique has proven to be a powerful tool for non-invasive, in-situ particle sizing of soot aggregates in flames, and the key lies in interpreting LII signals with a heat transfer model. However, the reliability of model-derived primary particle size distribution (PPSD) is sensitive to the uncertainty of thermal accommodation coefficient (TAC), which is typically regarded as a pre-determined parameter in the LII heat transfer model. To overcome this problem, we have proposed a trivariate inversion strategy, i.e., inferring two PPSD parameters and TAC simultaneously from LII signals, which has been theoretically validated at room temperature, but its feasibility in the flame case remains to be investigated. In this study, the trivariate inversion strategy is extensively evaluated over a wide distribution of both ambient temperature and laser fluence. For different cases ranging from room temperature to flame temperature, numerical tests show that the inversion results of all three variables exhibit significantly high accuracy and low uncertainty with proper selection of laser fluence. Furthermore, our study shows that the trivariate inversion strategy can maintain robust performance in ambient temperature fluctuation caused by spatial inhomogeneity of the flame. All these results indicate that this trivariate inversion strategy has a promising application in combustion scenarios.

Telo boxes within the AGAMOUS second intron recruit histone 3 lysine 27 methylation to increase petal number in rose (Rosa chinensis) in response to low temperatures.

The petals of rose (Rosa sp.) flowers determine the ornamental and industrial worth of this species. The number of petals in roses was previously shown to be subject to fluctuations in ambient temperature. However, the mechanisms by which rose detects and responds to temperature changes are not entirely understood. In this study, we identified short interstitial telomere motifs (telo boxes) in the second intron of AGAMOUS (RcAG) from China rose (Rosa chinensis) that play an essential role in precise temperature perception. The second intron of RcAG harbors two telo boxes that recruit telomere repeat binding factors (RcTRBs), which interact with CURLY LEAF (RcCLF) to compose a repressor complex. We show that this complex suppresses RcAG expression when plants are subjected to low temperatures via depositing H3K27me3 marks (trimethylation of lysine 27 on histone H3) over the RcAG gene body. This regulatory mechanism explains the low-temperature-dependent decrease in RcAG transcript levels, leading to the production of more petals under these conditions. Our results underscore an interesting intron-mediated regulatory mechanism governing RcAG expression, enabling rose plants to perceive temperature cues and establish petal numbers.

Micro-kelvin temperature-stable system for biocalorimetry applications.

Achieving micro-kelvin (µK) temperature stability is critical for many calorimetric applications. For example, sub-nanowatt resolution biocalorimetry requires stabilization of the temperature of the calorimeter to µK levels. Here, we describe how µK temperature stability can be accomplished in a prototypical calorimetric system consisting of two nested shields and a suspended capillary tube, which is well suited for biocalorimetry applications. Specifically, we show that by employing nested shields with µTorr-levels of vacuum in the space between them as well as precise feedback control of the temperature of the shields (performed using high-resolution temperature sensors), the effect of ambient temperature fluctuations on the inner shield and the capillary tube can be attenuated by ∼100 dB. We also show that this attenuation is key to achieving temperature stabilities within ±1 and ±3 µK (amplitude of oscillations) for the inner shield and the capillary tube sensor, respectively, measured in a bandwidth of 1 mHz over a period of 10h at room temperature (∼20.9 ± 0.2 °C). We expect that the methods described here will play a key role in advancing biocalorimetry.

Thermoregulatory response in juvenile Hippocampus erectus: Effect of magnitude and rate of thermal increase on metabolism and antioxidative defence.

Behavioural, physiological and biochemical mechanisms constitute the adaptive capacities that allow marine ectotherms to explore the environment beyond their thermal optimal. Limitations to the efficiency of these mechanisms define the transition from moderate to severe thermal stress, and serve to characterise the thermoregulatory response in the zone of thermal tolerance. We selected a tropical population of Hippocampus erectus to describe the timing of the physiological and biochemical mechanisms in response to the following increments in water temperature: (i) 4°C abrupt (26-30°C in <5 min); (ii) 7°C abrupt (26-33°C); (iii) 4°C gradual (1°C every 3 h) and (iv) 7°C gradual (1.5°C every 3 h). The routine metabolic rate (Rrout) of juvenile H. erectus was measured immediately before and after 0.5, 12 and 28 h of being exposed to each thermal treatment. Samples of muscle and abdominal organs were taken to quantify indicators of aerobic and anaerobic metabolism and antioxidant enzymes and oxidative stress at each moment throughout exposure. Results showed a full thermoregulatory response within 0.5 h: Rrout increased in direct correspondence with both the magnitude and rate of thermal increase; peroxidised lipids rapidly accumulated before the antioxidant defence was activated and early lactate concentrations suggested an immediate, yet temporary, reduction in aerobic scope. After 12 h, Rrout had decreased in sea horses exposed to 30°C, but not to 33°C, where Rrout continued high until the end of trials. Within 28 h of thermal exposure, all metabolite and antioxidant defence indicators had been restored to control levels (26°C). These findings testify to the outstanding thermal plasticity of H. erectus and explain their adjustment to rapid fluctuations in ambient temperature. Such features, however, do not protect this tropical population from the deleterious effects of chronic exposure to temperatures that have been predicted for the future.

An innovative approach to continuously monitor rail track surface displacement during freezing-thawing seasons

Large differential displacement as a result of freeze–thaw cycles (FTC) is a major issue affecting the safety and performance of railway tracks constructed in cold regions. Current track monitoring methods in winter are mainly based on visual inspection and manual measurements. The frequency of FTC is expected to increase under future climate and thus it is essential for railway operators to employ new methods of inspection that allow continuous and remote monitoring of railway tracks during the freeze–thaw period. While sensors are commonly used to measure localized track displacement, the advantages and limitations of using instruments that are capable of collecting data over a segment of track is not well understood. This paper investigates the use of a micro electro-mechanical sensor (MEMS) based instrument for monitoring surface displacement of railway tracks during FTC. The ShapeArray™ instrument, in this case the SAAX inclinometer, is a MEMS based sensor that was selected due to its ability to collect data over a segment of track (up to 150 m). Two sets of SAAX inclinometers were installed on a 50-metre section of track to measure data during two freezing-thawing periods. Analysis of the field data suggests that the main limitation of using MEMS-based sensors is their sensitivity to fluctuations of ambient temperature which may be confused with their responses to actual track displacement. A data analysis technique has been developed to remove the unwanted variations so that the instrument can be effectively used for monitoring track displacement during FTC. The comparison of the processed measurements with data collected from a digital level suggested that it provides a reasonably accurate measure of track surface displacement. Overall, the limited investigations in this project suggests that using MEMS-based sensor along with proper data processing techniques can provide useful information about the differential displacement over a segment of track, a key parameter for the safety of railway operation. The measurements can also be transferred through the cloud, enabling track engineers to remotely monitor track condition in near-real-time without the need to access the track and interrupt trains operations.

Revolutionizing Automated Agriculture: A Brief Overview of an Advanced Smart Agriculture System Using Arduino UNO

This project presents a Smart Agriculture System that uses sensor technologies to improve crop monitoring and automate irrigation procedures. A variety of sensors are integrated into the system, such as a temperature sensor, a gas sensor, a photodiode for ambient light sensing, and a soil moisture sensor. When taken as a whole, these sensors offer real-time information on the concentrations of gases, ambient light levels, temperature fluctuations, and soil conditions in agricultural environments. The system’s primary function is to continuously monitor soil moisture levels in order to determine when irrigation is necessary. A water pump is activated when a predetermined moisture threshold is reached, guaranteeing timely and precise irrigation for the best possible crop growth. By monitoring the climate, the temperature sensor helps determine the environmental factors that affect crop health. Farmers can monitor important parameters with ease thanks to the convenient and user-friendly interface that the real-time display of sensor data on an LCD screen provides. Furthermore, by measuring the amount of natural light present, the ambient light sensor helps the system to optimize planting schedules and comprehend the impact of sunlight on crop development. The addition of a gas sensor expands the capabilities of the system by identifying possible environmental risks or variations in gas concentrations that could have an impact on crop quality. In addition to providing farmers with useful information about the health of their crops, this integrated smart agriculture system makes irrigation automation easier, saving water and increasing overall agricultural productivity. Due to its flexibility and scalability, the system is an invaluable resource for contemporary precision agriculture, contributing to sustainable farming practices and increased crop yields.

Highly sensitive fiber grating hydrogen sensor based on hydrogen-doped Pt/WO3

Hydrogen sensors are key to the emerging clean hydrogen economies and fiber-optic hydrogen sensors play a unique role owing to their inherent safety and high sensitivity. Currently Pt/WO3 has been employed as the mainstream hydrogen-sensitive material in high performance hydrogen sensors. Here we develop an ultrasensitive fiber-optic hydrogen sensor with fast response by coating pretreated Pt/WO3 nanomaterial on fiber Bragg grating. We observe a great enhancement in sensitivity by the hydrogen-doping of the Pt/WO3 nanomaterials. The generation of HxWO3 composite material is confirmed by XRD, FTIR and Raman analysis. Compared with pure Pt/WO3, a 184-fold improvement in sensitivity is achieved by hydrogen doping, with a fast response of 25 s. An impressive limit of detection (LOD) of 30 ppm is demonstrated by employing both the narrowband weak FBGs and the hydrogen-doped Pt/WO3. The immunity to ambient temperature fluctuation is demonstrated by self-calibration through detecting the wavelength difference between a pair of FBGs. Good specificity is also demonstrated. This technology shows great potential in high spatial-resolution quasi-distributed hydrogen sensing.

A phase change material based annular thermoelectric energy harvester from ambient temperature fluctuations: Transient modeling and critical characteristics

Annular thermoelectric power generator has been increasingly considered in application of ambient energy harvesting owing to the advantages of simple structure and no pollution. To improve thermal stability and energy harvesting performance of this system, the latent heat of phase change materials to improve thermal management and the high thermal conductivity of the heat sink to enhance heat transfer with the ambient are harness to annular thermoelectric power generator. Motivated by this, a phase change material based annular thermoelectric energy harvester (PCM-ATEH) with fins is developed for ambient energy harvesting and its three-dimensional transient model is also built up through jointly with thermo-electric and phase change processes. This paper considers the influence of key parameters such as temperature fluctuation amplitude, temperature fluctuation period, height ratio of PCM and thermoelectric generator (TEG) and melting temperature on liquid fraction, temperature difference, voltage and power density. Moreover, the comparison of PCM-ATEH and PCM based thermoelectric energy harvester (PCM-TEH) with/without fins is further conducted in this study to explore thermal management and energy harvesting performance. The energy harvesting characteristics of PCM-ATEH with fins is developed concerning the combination of power generation of TEG and melting process of PCM. Based on the results, it is found that the temperature difference and power density of PCM-ATEH with fins vary periodically with the sinusoidal temperature boundary, and results show that increasing temperature fluctuation period is not always feasible. Additionally, the comparative results indicate that the peak power density and energy efficiency of PCM-ATEH with fins are increased by 0.126 W/m2 and 0.02 % compared with PCM-TEH with fins, and increased by 0.195 W/m2 and 0.041 % compared with PCM-ATEH without fins. The results of energy harvesting characteristics show that a maximum of 0.77$ per watt can be reached to power generation cost of PCM-ATEH with fins. This paper can provide theoretical guidance for thermal management and energy conversion of energy harvesting system.

Ambient temperature anomalies induce electrocardiogram abnormalities: Findings from a nationwide longitudinal study

Electrocardiogram (ECG) outcomes serve as early manifestations of cardiovascular functional or structural changes. While temperature fluctuation has been demonstrated to be a risk factor for cardiovascular diseases, few epidemiological studies have reported its relationship with ECG outcomes. In this study, we employed temperature anomaly (TA) as an innovative indicator of temperature fluctuation to quantify its detrimental impacts on ECG outcomes. A longitudinal study design was conducted using the repeated ECG records of the China National Stroke Screening Survey from 2013 to 2019. Only individuals undergoing at least two ECG tests were included. The daily temperature was assimilated by combining three kinds of data: in situ observations, satellite remote sensing measurements and weather research forecast simulations. We used generalized estimating equations to control for autocorrelation among repeated records and to estimate the association between TA and the risk of ECG abnormalities. We found 6837 events of ECG abnormalities in 47,286 individuals with 102,030 visits. Each unit increment of TA increased the risk of ECG abnormalities [odds ratio (OR) = 1.009, 95% confidence interval (CI): 1.001–1.017] and the risk of myocardial ischemia (OR = 1.061, 95% CI: 1.012–1.111). Hierarchic analyses presented a similar association of TA with both ECG abnormalities (OR = 1.017, 95% CI: 1.008–1.026) and myocardial ischemia (OR = 1.061, 95%CI: 1.011–1.114) in Northern China, but not in Southern China. The exposure-response relationship was estimated as a U-shaped curve centered at the TA value of zero. Sudden warming tended to increase the risk of ECG abnormalities and myocardial ischemia, and sudden cooling tended to increase the risk of atrial fibrillation. All these detrimental effects of TA could be modified by specific individual characteristics. In summary, ambient temperature fluctuation increased the risk of ECG abnormalities. This result indicated that regular ECG tests could be an early-warning measure for monitoring the adverse health effects of temperature fluctuations.

Thermosensation and Temperature Preference: From Molecules to Neuronal Circuits in Drosophila.

Temperature has a significant effect on all physiological processes of animals. Suitable temperatures promote responsiveness, movement, metabolism, growth, and reproduction in animals, whereas extreme temperatures can cause injury or even death. Thus, thermosensation is important for survival in all animals. However, mechanisms regulating thermosensation remain unexplored, mostly because of the complexity of mammalian neural circuits. The fruit fly Drosophila melanogaster achieves a desirable body temperature through ambient temperature fluctuations, sunlight exposure, and behavioral strategies. The availability of extensive genetic tools and resources for studying Drosophila have enabled scientists to unravel the mechanisms underlying their temperature preference. Over the past 20 years, Drosophila has become an ideal model for studying temperature-related genes and circuits. This review provides a comprehensive overview of our current understanding of thermosensation and temperature preference in Drosophila. It encompasses various aspects, such as the mechanisms by which flies sense temperature, the effects of internal and external factors on temperature preference, and the adaptive strategies employed by flies in extreme-temperature environments. Understanding the regulating mechanisms of thermosensation and temperature preference in Drosophila can provide fundamental insights into the underlying molecular and neural mechanisms that control body temperature and temperature-related behavioral changes in other animals.

115 Video data reveals bovine embryo stress in response to fluctuations in ambient room temperature

115 Video data reveals bovine embryo stress in response to fluctuations in ambient room temperature

Thermal Conductivity Absolute Humidity Sensor Adapted in Ambient Temperature and Pressure Fluctuations

Thermal Conductivity Absolute Humidity Sensor Adapted in Ambient Temperature and Pressure Fluctuations

МАТЕМАТИЧНА МОДЕЛЬ ПРОГНОЗУ ЗНАЧЕНЬ ОСНОВНИХ ХАРАКТЕРИСТИК МОРЕХІДНОГО СТАНУ ТАНКЕРА ПІСЛЯ ЗАВАНТАЖЕННЯ

Transportation of oil cargoes by the world tanker fleet takes place in various climatic zones with significant fluctuations in ambient temperature. When the temperature of the oil cargo increases, its volume will increase, which may lead to increasing the risks of the cargo spilling onto the ship's deck. International conventions and codes that regulate the transportation of crude oil and petroleum products allow the use of only 98% of the cargo capacity of the tanker, the remaining 2% is called the safety factor, i.e. the margin of volume for the unforeseen expansion of the cargo when sailing in different climatic zones. From the other hand, the intensity of cargo operations during the transportation of various types of cargo, including oil cargo, has led to an increase in the role of the "human factor" in ship’s energetic system. Reducing the number of ship crews leads to the accumulation of fatigue, distraction of the attention of ship operators (masters) in the process of increasing the intensity of carrying out cargo operations on the ship. A significant share of tanker fleet accidents occurs as a result of loss of control over the volume of bulk cargo that is accepted in each tank of the vessel. The operator's lack of accurate information about the state of each tank’s filling at the current moment of time leads to the risk of overflowing of a separate tank, which, in turn, can cause the spillage of bulk cargo, for example, petroleum products on the ship's deck and on the water surface of the port's water area. The relevance of these problems determines the direction of this research. For constant dynamic monitoring of the tanker parameters’ conformity during loading operations, considering parameters that maximally satisfy the requirements of maritime safety and taking into account all restrictions, such as the maximum permissible volumes of oil cargo in tanks, the current study proposes to use a mathematical model and create a system for automatic control of tanker loading. Keywords: oil cargo, tanker, level gauges, safety factor, loading control, mathematical model.

Thermal management of an open-cathode PEMFC based on constraint generalized predictive control and optimized strategy

The application of open-cathode proton exchange membrane fuel cell (PEMFC) has been extended to unmanned aerial vehicles (UAVs), light duty vehicles and other fields, but its performance is highly affected by the temperature fluctuation of stack and ambient temperature. This paper aims to design a thermal management system to achieve higher stack performance and lower fan power consumption by considering ambient temperature and practical application. To do that, a new temperature control strategy is first proposed by studying the relationship between optimal operating temperature and ambient temperature. Then, a model of 1000 W stack including thermal system is built for designing a temperature controller based on constraint generalized predictive control (CGPC). After that, the CGPC controller is enhanced by adding optimized strategy and control rules related to practical application to avoid irreversible damage especially when the current density increases. Finally, the control system with enhanced CGPC is effectively reduce the average error compared with PI control, which is only 0.032 °C. The proposed control strategy with additional control rules is valid by experiments and shows higher performance and lower fan duty cycle of 28.9 % compared with manufacture's default strategy. Thus, the proposed method has significant for widespread application of PEMFC.

Is bedding material a more effective thermal insulator than trap cover for small mammal trapping? A field experiment

Live trapping is a key technique for conducting ecological studies on small mammals. All-metal live traps are popular in monitoring schemes owing to their tested performance, lightweight design (aluminium) and foldability. However, capture represents a stressful situation for small mammals, particularly during cold seasons, when individuals are susceptible to cold weather starvation resulting from low temperature and insufficient food to maintain body temperature. Metal live traps provide limited protection against cold temperatures, and it is often recommended to use covers to buffer external temperature fluctuations and prevent entry of moisture. Here, we compared the insulative performance of a PVC cover designed for Sherman traps and of bedding material, using data loggers to record temperature and humidity inside traps. We conducted different experiments simulating field conditions (traps at night with a heat source inside) and different treatments (cover, bedding material) to test the thermal insulation capacity of three models of widely used commercial traps: Longworth, Sherman, and Heslinga. Our findings indicated that Longworth and Sherman traps were better insulated against ambient air temperature fluctuations than Heslinga traps (+2.0 °C warmer on average). Bedding material was paramount in reducing relative humidity and increasing thermal insulation capacity of traps (+3.1 °C), an effect that was strengthened when a PVC cover was additionally used (+4.2 °C). The covered traps prevented the direct entrance of rain and dew (reducing damp bedding), provided camouflage (reducing thefts), and improved thermal and humidity conditions of traps (potentially increasing survival of captive small mammals). Our results suggest that using covers and bedding materials can improve thermal and humidity conditions within live traps, thus reducing the metabolic costs of thermoregulation and increasing survival chances for trapped small mammals during cold seasons.

Control of the technical condition of buildings and structures on permafrost soils by the changes in the frequencies of natural vibrations (according to seismic monitoring of a pile-type building – the Palace of culture of Norilsk)

The relationship between temperature fluctuations and changes in natural frequencies of a piletype engineering structure located on permafrost soils is investigated in connection with the development of methods for monitoring the technical condition of similar structures. The object of the study is the Palace of Culture of the polar branch of PJSC MMC Norilsk Nickel, located in Norilsk, where in recent years the thawing of the soils has a potential threat to the stability of engineering structures. The basic values of the frequencies of natural oscillations of the building were determined in August 2021 by the method of coherent reconstruction of the fields of standing waves and are 3.0, 3.7, 4.7 Hz on the short axis and 3.5 and 5.2 Hz on the long axis. The current (daily) frequency values are determined with an error of no more than 0.01 Hz from the amplitude spectra of seismic noise recordings (without active sources), which were obtained during continuous seismic monitoring from the end of August 2021 to the beginning of September 2022. From comparing the changes in the frequencies of natural oscillations with fluctuations in ambient temperature, it follows that during the year the frequencies change significantly (in winter their values are 11–12% higher than in summer), presumably due to defrosting/ freezing of the upper part of the soil. Against the background of this change, local fluctuations in frequency values were revealed due to cooling/ heating of the material of the building mainly at a positive ambient temperature (frequencies increase in direct proportion to temperature within 5–7%). According to the analysis of monitoring data after the annual cycle, the natural frequencies of the building in August 2021 and 2022 are not equal (the difference is up to 1.7%), which is presumably explained by the different depth of ground defrosting in the summer. To assess the impact of this phenomenon on the technical condition of the building, it is necessary to continue monitoring, first of all, to obtain data on changes in the natural frequ

Model-free quantitative diagnosis of internal short circuit for lithium-ion battery packs under diverse operating conditions

The internal short circuit (ISC) serves as a primary source of thermal runaway in lithium-ion batteries, thereby posing a potential safety risk. The early identification of ISC faults is crucial for mitigating risks associated with fire or explosion, but quantitatively diagnosing minor energy leakage in the initial stage of ISC can be a considerable challenge in the absence of battery modeling or preliminary experiments. In light of these constraints, this study puts forth a quantitative diagnosis technique underpinned by an innovative model-free approach tailored for battery pack systems. Our method hinges on the analysis of voltage characteristics and certain premises, wherein the variance in the quantity of electrical charge retained in a cell is estimated solely through measured voltage data. The ISC current is determined through measured current data while maintaining cell balance within the packs. In addition, we propose an ISC current compensation scheme to accommodate fluctuations in ambient temperatures over time. Consequently, the ISC resistances of all cells within the packs can be computed as an index of fault to assess the degree of ISC severity. To ascertain the feasibility of our proposed method, we undertook ISC pack experiments under a wide range of conditions, encompassing aspects such as cell inconsistency, cell balancing, subzero and varying ambient temperatures, and diverse charge/discharge protocols. The results of our experiments demonstrate that the proposed model-free method exhibits considerable applicability for real-world battery operational circumstances while also maintaining a high degree of accuracy in ISC resistance estimation.