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This document is a technical note explaining the OIT predictions below 130°C based on measured OIT data of polypropylene powder. By analyzing the measured OIT data of PP powder under isothermal conditions at 140, 150, and 160°C, OIT values from 50 to 200°C were predicted. The predicted OIT values up to 90°C were almost accurate, but the predicted OIT values below 90°C were shorter in duration compared to the measured values. For more details, please refer to the published catalog, and we encourage you to read it. 【Published Data (Excerpt)】 ■ Measured OIT data of PP (powder) at isothermal conditions of 140, 150, and 160°C ■ Reaction rate curves calculated from measured isothermal data at 140, 150, and 160°C ■ CL strength data curves obtained from measured isothermal data at 140, 150, and 160°C ■ Display of CL data on the reaction rate curve (Log scale) ■ Display of the entire range of CL data on the reaction rate curve (Log scale) *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the determination of OIT (Oxidation Induction Time) and lifespan prediction based on chemiluminescence data of polypropylene powder. OIT can be measured by maintaining isothermal conditions in an inert atmosphere and then switching to an air atmosphere for actual measurement. We introduce a measurement and analysis method for determining OIT from the heating measurement data in an air atmosphere. Please feel free to download and take a look. 【Published Data (Excerpt)】 ■ CL intensity curves from heating data at heating rates of 2.5 to 10 K/min ■ Peak integration of 2.5 K/min-CL data from 80°C to 165°C with slope correction ■ Reaction rate curves for a temperature range of 2.5 K/min with a maximum of 165°C ■ CL intensity curves from heating data at heating rates of 2.5 to 10 K/min ■ Reaction rate curves for a temperature range of 10 K/min with a maximum of 203°C *For more details, please download the PDF or feel free to contact us.

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This document is a technical note explaining the OIT prediction based on the chemiluminescence accelerated test data for polyamide 6 powder (without added antioxidants). Using the TKsd software, we explored the reaction model equations for the oxidation induction reaction based on the downsampled data (accelerated test data). The resulting reaction model equations were divided into two stages: Equation A and Equation B. What do each of the reaction model equations A and B represent? Please take a look. 【Published Data (Excerpt)】 ■ Conducted accelerated tests on multiple test specimens over a long period using several constant temperature baths. ■ Reaction rate curves under isothermal conditions of 60-80°C from CL data at 0.2-0.8 K/min. ■ Reaction rate curves downsampled to 1/150 from the predicted reaction rate curves. ■ Explored reaction model equations from the downsampled reaction rate curves under isothermal conditions of 60-80°C. ■ Created a log-log plot with the Y-axis as CL intensity and the X-axis as time from the reaction model equations. *For more details, please download the PDF or feel free to contact us.

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This document is a technical note explaining the exploration of reaction models based on the OIT measurement data (downsampled data) of polypropylene powder. Using TKsd, we directly downsampled the isothermal measurement data at 140, 150, and 160°C to convert it into pseudo-accelerated test data, examining what kind of power function can be obtained. From this downsampled data, we estimated the reaction model for the oxidation induction reaction. We encourage you to read it. 【Published Data (Excerpt)】 ■ Results of predicting CL intensity curves under isothermal conditions at 140-160°C ■ Predicted curve when changing m1 from 0.707 to 1.0 ■ Reaction rate curves calculated from OIT measurement data at 140, 150, and 160°C under isothermal conditions ■ Reaction rate curves generated by downsampling the data by 1/100 and creating a CSV file ■ A table displayed in Excel from the downsampled TXT data file *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the OIT prediction based on Chemiluminescence data for polyamide 6 powder (without added antioxidants). Using heating measurement data up to 190°C (35°C below the melting point), where PA6 is in a state of slight melting of crystalline and amorphous parts, the OIT value is predicted. It was found that the oxidation induction time (OIT) can be predicted in the range of 90°C to 230°C from the heating measurement data at 0.2, 0.4, and 0.8 K/min. For details, please refer to the published catalog. 【Published Data (Excerpt)】 ■ CL strength signal data from 50 to 250°C (0.8 K/min) ■ Selection of appropriate peak integration range ■ Standardization of CL strength curves at 0.2 to 0.8 K/min with a peak integration value of 8.28E8 cts/g ■ Peak integration curve of heating rate 0.8 K/min data ■ CL strength curve log-log plot when the peak integration value is set to 8.28E+8 cts/g *For more details, please download the PDF or feel free to contact us.

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This document is a technical note explaining how to predict the isothermal condition CL strength curve from the heating data of polypropylene powder. Using measurement data of 200 mg of PP (powder) with heating rates of 0.2 to 0.8 K/min, the OIT at isothermal measurements of 140, 150, and 160°C is predicted. When predicting OIT values from heating measurement data, it is crucial to appropriately select the starting and ending points of the CL data. We encourage you to read it. [Published Data (Excerpt)] ■ CL strength curves at heating rates of 0.2, 0.4, and 0.8 K/min (Normal Scale) ■ How to determine the temperature endpoint for peak integration ■ CL strength curves of 0.2, 0.4, and 0.8 K/min CL data (Log Scale) ■ Transition of activation energy concerning reaction rate ■ OIT predictions for PP (powder) at 140 to 160°C *For more details, please download the PDF or feel free to contact us.

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This document is a technical note explaining the determination of the Self-Accelerating Decomposition Temperature (SADT) of diperoxy dodecanedioate using a small-scale reaction calorimeter. The SADT was calculated from measurement data under isothermal conditions at 51°C for 12 days, with a heating rate ranging from 0.015 K/min to 0.20 K/min. Will LPO indeed decompose exothermically at temperatures below its melting point? Please download and view it from the published catalog. [Contents] ■ Determination of the SADT of diperoxy dodecanedioate using a small-scale reaction calorimeter ■ Determination of SADT using a small-scale reaction calorimeter with ultra-low heating rate control *For more details, please download the PDF or feel free to contact us.

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This document is a technical note explaining the determination of the SADT of AIBN using a 0.8mL pressure-resistant container and a small reaction calorimeter. Instead of the 15mL vial of the mL size PalCRC small reaction calorimeter, a high-pressure container made of SUS316, with a volume of 0.8mL and a pressure resistance of 40MPa at 400°C, was used for the measurement. By setting the heating rate to 0.02 to 0.20 K/min, the exothermic decomposition reaction was shifted to the low-temperature side below the melting point, allowing the thermal decomposition reaction of AIBN to be measured while in the solid state. Please take a look. [Published Data (Excerpt)] ■ 0.80mL pressure-resistant container ■ DSC data measuring the A thermal decomposition reaction ■ Measurement data at 2K/min ■ Heating rate of 0.05K/min ■ Heating rate of 0.10K/min *For more details, please download the PDF or feel free to contact us.

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This document is a technical note explaining the determination of SADT (Self-Accelerating Decomposition Temperature) using a small-scale reaction calorimeter with a mL size (glass vial). We attempted SADT simulation using azobisisobutyronitrile (AIBN) to determine the thermal hazards of reactive chemicals through DSC measurements. In this note, we used a mL size small-scale reaction calorimeter, with a heating rate of 0.025 to 0.20 K/min, which is approximately 1/20 of the typical DSC measurement range of 0.5 to 8 K/min. We encourage you to read it. [Published Data (Excerpt)] - DSC data for 1 mg of AIBN (azobisisobutyronitrile) at 5 K/min - Heating rate of 0.025 K/min - Heating rate of 0.050 K/min - Heating rate of 0.20 K/min - Predictions of what kind of DSC measurement data can be obtained *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the model fitting analysis of the decomposition reaction of DTBP + Toluene 20wt%. Two exothermic peaks were separated into 1st_peak, 2nd_peak, and the combined 1st_peak + 2nd_peak to calculate TMR24 in three different ways. It is a common judgment that the TMR24 value should be analyzed using all peaks, but by comparing the three results, the same conclusion is reached. For details, please download and view from the published catalog. 【Published Data (Excerpt)】 ■ Peak separation of the two exothermic peaks in DTBP 20% / Toluene air atmosphere ■ Analysis using three data points from only the 1st_peak with the differential equivalent method ■ Analysis using data obtained by adding the 1st_peak and 2nd_peak ■ Activation energy was determined for both 1st_peak_only and 1st_peak + 2nd_peak ■ Predicted data at 0.001 K/min from the analysis results obtained from the 1st_peak only *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the analysis of the decomposition reaction of DTBP + Toluene 20wt% through peak separation. In this note, we assume that the 1st peak was not detected and focus solely on the 2nd peak, using TKsd to derive the reaction model equation. The analysis results focus on the reaction mechanism without considering thermal safety evaluation. Please feel free to download and take a look. 【Contents (excerpt)】 ■ Reaction predictions based on Kinetics parameters obtained from the 2nd peak only ■ Reaction predictions based on Kinetics parameters obtained from the global peak ■ Reaction predictions based on the reaction equation obtained from model fitting of the 2nd peak only *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the model-free analysis of the decomposition reaction of DTBP + Toluene 20wt%. In this note, we calculated TMR24 using the standard free model analysis method of AKTS_TK + TS, resulting in TMR24 = 74.9°C. This is lower than the analysis result of 76.6°C obtained from the Total_Peak, which is the sum of two separated peaks, indicating a more conservative analysis result. We encourage you to read it. 【Published Data (Excerpt)】 ■ DSC measurement data ■ Measurement data on a mg scale ■ Measurement data from the reaction start point at 0% to the endpoint at 100% ■ Changes in activation energy from 0 to 100% reaction rate (α = 1) ■ Analysis results of TMRad24 *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the analysis of the hydration heat reaction of acetic anhydride using CRC and AKTS software. The analysis includes the exploration of reaction model equations and introduces simulations for scale-up to tens of milliliters, hundreds of milliliters, and liters using the SADT analysis function from reaction process data of a few milliliters. The AKTS software provides useful analyses not only for DSC data but also for measurement data from small reaction calorimeters. We encourage you to read it. [Analysis Content] - Exploration of reaction model equations - Simulation of scale-up to tens of milliliters, hundreds of milliliters, and liters using the SADT analysis function from reaction process data of a few milliliters *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the Joule heat calibration of thermal flow signals by AKTS_TAdm. The TK_TS software for reaction kinetics analysis by AKTS has a three-story structure, with a general-purpose analysis software called TAdm (Thermal Analysis Data Management) on the first floor. In the thermal flow detection modules and calorimeters for lithium-ion batteries produced by our company, we use the TAdm software as a quality control tool for Joule heat correction. This note introduces the full details of the Joule heat sensitivity calibration by TAdm. We encourage you to read it. [Published Data (Excerpt)] ■ Thermal flow signal and obtained detection sensitivity of 6.32 W/V at a Joule heat input of 4.76 mW ■ The green curve represents the thermal flow signal after time constant correction using the Inverse_Filtering function ■ Thermal flow signal during Joule heat input at a rate of 0.2 K/min ■ Linearization of the thermal flow signal baseline through manual operation of Spline and peak integration ■ Measurement data of the power supply for Joule heat input during heating at a rate of 0.2 K/min *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the exploration of reaction model equations from DSC data using AKTS/TK and TKsd. How is the reaction model of self-catalyzed reactions described? The AKTS_TK software includes a feature for exploring reaction models based on accelerated test data called AKTS_TKsd. Please take a look at the analysis results of the reaction model equations obtained using this feature. 【Published Data】 ■ Flowchart for analysis using the free model method and the model method ■ Isothermal conditions for DSC measurements are determined through isothermal simulation ■ Screen for reading accelerated test data ■ After calculating 66 types of reaction model explorations, a ranking table of the estimated reaction model equations will be displayed. *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the measures to be taken when the predicted results of AKTS/TK and TS do not match the measured values. The heating rate measurement data used as measurement data has a window width of 0.5 to 8.0 K/min with a ratio of over 10 times, but when evaluating long-term thermal stability, it is necessary to further increase this window width. Please feel free to download and view it from the published catalog. 【Published Data (Excerpt)】 ■ The ratio of predicted data under isothermal conditions at 80°C estimated from heating measurement data to actual measurement data ■ Optimizing measurement data by integrating heat generation peaks from 4_data with different heating rates ■ Calculating the reaction rate curve (time scale) under isothermal conditions from free model analysis *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document is a technical note explaining the utility of adding isothermal measurement data (0 K/min) to heating rate measurement data. The recommended heating rates for DSC are between 0.5 K/min and 8 K/min, but adding just one isothermal measurement can further improve analysis accuracy. The appropriate temperature setting for the isothermal condition can be determined from the measurement data at 0.5 to 8 K/min. Please feel free to download and take a look. [Published Data (Excerpt)] - Reaction rate curve based solely on five heating data points at 0.5 to 8 K/min - Reaction rate curve based solely on five heating data points at 0.5 to 8 K/min - Difference in activation energy based on only five heating data points and one isothermal data point - Reaction rate vs. time axis displayed under isothermal conditions *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

The technical document includes information on the "SML (Specific Migration Limit) suitability assessment." There are risks associated with each material used in equipment and packaging. In standard testing, harmful substances that leach out are primarily analyzed using a method called "leaching test." The 'SML6' introduced in the document was developed to meet the need for determining leaching concentration without conducting leaching tests and to assess suitability against SML values! [Contents (excerpt)] ■ SML operating procedures ■ Why can it be calculated? ■ Is the calculated value correct? ■ What is Ap-Value? ■ Pringer+Brandsch method *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments

The lithium battery CR2032 is a primary battery, but rechargeable secondary batteries such as the lithium-ion battery CIR2032 (45mAh) and ML2032 (65mAh) are available for sale. This technical document combines a charge and discharge system with a heat flow detection module, simultaneously measuring the heat flow signals during the charge and discharge process of the ML2032 along with voltage changes. From the heat measurement data of the charge and discharge process, we will introduce an example of what kind of measurement data can be obtained and what kind of analysis can be performed. [Features] ■ Simultaneous measurement of heat flow signals along with voltage changes ■ Introduction of what kind of measurement data can be obtained and what kind of analysis can be performed. *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

This document introduces the measurement of heat generation during charging and discharging of a Battery Pack with a capacity of 350mAh (3.7V) and dimensions of 40mm × 29mm with a thickness of 4.5mm. The battery is unused but is an old one manufactured on July 11, 2006, which is over 10 years old. Our company can manufacture heat flow detection modules according to the battery size. In this technical document, the heat flow detection module is set up in a room temperature environment, using the HJ1001SD8 (Hokuto Denko) as the charging and discharging device. 【Features】 ■ Capable of manufacturing heat flow detection modules according to battery size ■ Heat flow detection module set in a room temperature environment ■ HJ1001SD8 (Hokuto Denko) used as the charging and discharging device *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

Inspired by the fact that laminated cells are referred to as "Bon Curry" in research and development settings, we conducted specific heat measurements of the entire retort pouch. The specific heat measurement (Cp) is an important parameter for predicting the adiabatic temperature rise of lithium-ion batteries. The prototype DSC specifically developed for laminated cells comes in five sizes: 40mm x 40mm, business card size, tablet size, A4 size, and a type specifically for 2032 coin batteries. The size of the retort pouch is 100mm x 160mm, which is slightly larger than the detector of the 3L-DSC, but by folding the adhesive seal part, it can fit perfectly into the size of the heat flow detector. [Features] ■ Cp specific heat measurement is an important parameter for predicting adiabatic temperature rise. ■ The prototype DSC specifically developed for laminated cells comes in five varieties. ■ Custom design and development of heat flow detection parts in desired sizes are available. *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

As part of the safety evaluation of lithium-ion batteries (hereafter referred to as LIB), whole laminate cells may be subjected to heating tests. However, there are no commercially available laminate cells, and in 2013, we received subsidies for prototype development to create a calorimeter for whole laminate cells. In this technical document, we measure an entire chocolate bar using a 3L-DSC. The chocolate bar contains food fats such as cocoa, and we measure the melting process of the fats. 【Features】 ■ Development of a calorimeter for whole laminate cells ■ Measurement of an entire chocolate bar using a 3L-DSC ■ Measurement of the melting process of fats *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

Have you ever experienced your iPhone getting hot while watching videos on it? Using a new product, a vehicle-mounted laminated cell calorimeter, we measured the heat generated by the iPhone and the temperature of its surface. Measuring the total heat of a functioning iPhone means measuring not only the heat generated by the iPhone's lithium-ion battery but also the heat generated by the iPhone, which is a super compact PC. Simultaneous measurement of heat generation, heat generation rate, and temperature from a smartphone (iPhone) has not been possible until now. 【Features】 ■ Total heat measurement of a functioning iPhone ■ Measurement of heat generated from the super compact PC that is the iPhone ■ Simultaneous measurement of heat generation, heat generation rate, and temperature from a smartphone (iPhone) ■ Use of vehicle-mounted laminated cell calorimeter (3L-DSC) *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

This document is a technical material issued by Parmetrics. It includes measurement data that attempts to assess the degradation of batteries used for a long time based on heat absorption and release curves. [Contents] ■ Heat measurement of the entire charging and discharging process of the Nissan Leaf EV module ■ Specific heat measurement of the entire Nissan Leaf EV module *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments

This document is a technical material issued by Palmetrics. It includes an overview of the 3ch_HFS module for 18650 lithium-ion batteries, as well as examples of thermal measurements during the charge and discharge processes. [Contents] ■ What is the 3ch_HFS module for 18650 lithium-ion batteries ■ Structure and Cp measurement of the 18650 lithium-ion battery 3ch_HFS module ■ Joule heating calibration function of the 18650 lithium-ion battery HFS module ■ Examples of thermal measurements during the charge and discharge processes of 18650 lithium-ion batteries *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

This document is a technical material issued by Palmetrics. It includes whole battery specific heat measurements using the 18650HFS module, as well as testing with standard samples (aluminum). [Contents] ■ Whole battery specific heat measurements using the 18650HFS module ■ Whole battery specific heat measurements - testing with standard samples (aluminum) *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

This document includes measurement examples using LIBCAL_A5 (calorimeter) to measure the heat generation and absorption of A5 size lithium-ion batteries. We measured the heat generation reaction of ECO heat packs, which contain heat-generating substances like laminated lithium-ion batteries, packed in polymer film. Instead of deforming a piece of iron to start crystallization, we introduced seed crystals to initiate the crystallization after setting it in the heat flow detection module. [Contents (excerpt)] ■Fig-01: Heat generation curve of ECO heat pack ■Fig-02: Raw data heat flow curve and temperature curve at 3 minutes and 40 seconds after crystallization began ■Fig-03: Heat flow curve and temperature curve with time constant correction for 14 minutes after crystallization began ■Fig-04: Heat flow curve and temperature curve for 4.5 hours after crystallization began, etc. *For more details, please refer to the PDF document or feel free to contact us.

• Lithium-ion battery
• Other measurement, recording and measuring instruments
• Temperature and humidity measuring instruments

This document is a technical material for a specific heat measurement module developed for measuring the Cp of large-capacity and oversized cells, featuring a thermal flow detection sensor sized at 180mm × 130mm. The measurement principle is based on a drop-type calorimeter; however, instead of using the water equivalent method that relies on the temperature rise of water and its specific heat capacity, it employs a dry method that detects heat flow from the sample to the heat sink using a thermopile. [Contents (excerpt)] ■Fig_01: Specific heat capacity measurement data from Experiment 05 ■Fig_02: Structure of the drop-type calorimeter and method for calculating Cp ■Fig_03: An example of sensitivity calibration data for heat flow detection using Joule heating ■Fig_04: Heating profile for Joule heating input type + adiabatic specific heat measurement, among others *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Temperature and humidity measuring instruments

This document is a technical report on the measurement of heat during the charge and discharge process of rectangular lithium-ion batteries (006P). Rectangular lithium-ion batteries are commonly found in many applications. When the cell shape is rectangular, the heat generation from the hexahedral battery occurs at six locations, which is why the calorimeter for rectangular batteries is designed so that all six faces are equipped with heat flow sensors. However, the only surface in contact with the battery is the bottom face, while the other five faces remain non-contact. This structure results in a calorimeter with a very large time constant for the heat flow signal, causing a significantly delayed response of the heat flow signal. To improve the response of the heat flow signal from conventional calorimeters, we have newly developed the "A6 Heat Flow Detection Module," which sandwiches the rectangular battery between heat flow sensors for measurement. [Contents (excerpt)] ■ Fig-01: Joule heat calibration of the heat flow sensor module ■ Fig-02: Voltage changes and heat flow measurements during the charge and discharge process of 006P_7.4V_2600mAh 0.1CC ■ Fig-03: Heat flow measurement during the discharge process of 006P_7.4V_2.6Ah 0.1CC *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

This document is a technical material regarding specific heat measurement using the drop method by SuperCRC. A 15mL vial with a diameter of 20.7mm is used as the sample container, allowing for the setup of the same size 18650 or 20700 cells. Therefore, SuperCRC is capable of measuring the specific heat of 18650_LIB using the drop method. The document includes more detailed explanations and graphs. [Contents (excerpt)] ■Fig_01: SuperCRC Small Reaction Calorimeter ■Fig_02: 18mm Diameter Test Tube Reactor Fixture, etc. *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Temperature and humidity measuring instruments

This document is a technical material that provides a detailed explanation of the structure and Cp measurement of the Lithium-ion battery 3ch HFS module. HFS stands for Heat Flow Sensor, which refers to a thermal flow sensor. The HFS module for 18650 LIB is housed in a constant temperature chamber and connected to a charge and discharge system to measure the electrical characteristics of the LIB along with thermal data simultaneously. It is used in combination with your existing constant temperature chamber and charge and discharge system. [Contents] ■ What is the 3ch HFS module for 18650 lithium-ion batteries? ■ Structure and Cp measurement of the 18650 lithium-ion battery 3ch HFS module ■ Joule heat calibration function of the 18650 lithium-ion battery HFS module ■ Example of thermal measurement during the charge and discharge process of the 18650 lithium-ion battery *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

AKTS Corporation's Thermokinetics can predict lifespan from accelerated test data using reaction kinetics and the Akaike Information Criterion. The storage test for lithium-ion batteries is also an accelerated test, estimating the capacity retention rate 10 years into the future from data on battery capacity retention rates. Instead of estimating lifespan using conventional methods, we calculate the degradation reaction model and its activation energy from the obtained measurement data. From the obtained reaction kinetics parameters, we can derive capacity retention rate curves for various time and temperature environments. 【Features】 ■ Temperature levels: 3 examples: 20, 40, 55°C; capacity retention rate data can estimate the capacity retention rate 10 years into the future from 30 to 40 measurement data points. ■ The estimated capacity retention rate curve is provided with a 95% prediction interval using the bootstrap method. ■ The degradation reaction equation and activation energy can be determined. *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

AKTS Corporation's Thermokinetics can predict lifespan from accelerated test data using reaction kinetics and the Akaike Information Criterion. The storage test of lithium-ion batteries is also an accelerated test, estimating the capacity retention rate 10 years into the future from data on battery capacity retention rates. Instead of estimating lifespan through conventional methods, we calculate the degradation reaction model and its activation energy from the obtained measurement data. From the obtained reaction kinetics parameters, we can derive capacity retention rate curves for various charge and discharge cycles (times) and temperature environments. 【Features】 ■ Temperature levels: 3 examples: 20, 40, 55°C; capacity retention rate data Can estimate the capacity retention rate 10 years into the future from 30 to 40 measurement data points. ■ The estimated capacity retention rate curve includes a 95% prediction interval using the bootstrap method. ■ The degradation reaction formula and activation energy can be determined. *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

AKTS Corporation's Thermokinetics can predict lifespan from accelerated test data using reaction kinetics and the Akaike Information Criterion. From the capacity retention data of retention test data and charge-discharge cycle test data, we derive the reaction model equations for calendar life and cycle life. Using the reaction kinetics parameters such as the activation energy obtained from the derived reaction model, we can determine the capacity retention curve under actual usage conditions for lithium-ion batteries. 【Features】 ■ Temperature levels: 3 examples: 20, 40, 55°C capacity retention data Can estimate capacity retention for 10 years from 30 to 40 measurement data points ■ The estimated capacity retention curve is provided with a 95% prediction interval using the bootstrap method ■ Degradation reaction equations and activation energy can be determined *For more details, please refer to the PDF document or feel free to contact us.

• Other measurement, recording and measuring instruments
• Lithium-ion battery

Lithium-ion batteries charge and discharge. It is also well-known that they generate heat, which can lead to thermal runaway accidents due to this heat generation. The positive and negative electrodes during charging and discharging are thought to undergo endothermic reactions that are mutually opposing, stemming from the reversible intercalation reactions. This technical document introduces the detection of the endothermic and exothermic reactions of the positive and negative electrodes in the charging and discharging process of lithium-ion batteries, which exhibit characteristics of charging and heat generation. [Contents (excerpt)] - Detection of the endothermic and exothermic reactions of the positive and negative electrodes during the charging and discharging process. - Endothermic and exothermic curves of the microbattery's charging and discharging process (0.125mA CCCV mode). - Endothermic reaction of the positive electrode. - Endothermic reaction of the negative electrode. - Endothermic heat curves of the positive and negative electrodes during a 0.05C equivalent 0.125mA charge-discharge cycle, etc. *For more details, please refer to the PDF document or feel free to contact us.

• Lithium-ion battery

The AKTS company's "Kinetic Analysis Software" determines the degradation reaction model from retention test data and charge-discharge cycle test data for lithium-ion batteries, and estimates lifespan using the obtained reaction equations and kinetic parameters such as activation energy. Additionally, it is possible to estimate lifespan under everyday usage conditions for up to 10 years based on measurement data from charge-discharge cycle tests and retention tests. **Features of AKTS Software Lifespan Estimation Function:** - Cycle tests and retention tests have temperature conditions of three or more (e.g., 25, 45, 55°C). - The number of measurement data points (capacity retention rate) totals over 40. - The degradation reaction equation for calendar life is calculated from the capacity retention rate obtained from retention tests. - The degradation reaction equation for cycle life is calculated from the capacity retention rate obtained from cycle tests. - By setting the temperature conditions, time, and number of charge cycles for the degradation reaction model equations 1 and 2, it predicts the lifespan estimation curve under actual usage conditions. - The lifespan prediction curve can calculate a prediction range of 95%. - The prediction range depends on the measurement data. *For more details, please refer to the PDF document or feel free to contact us.*

• Lithium-ion battery
• Software (middle, driver, security, etc.)
• Other embedded systems (software and hardware)

The "pDSC" is a DSC designed for the purpose of the initial screening test for thermal hazard assessment. Compared to μL-sized DSCs, it simultaneously measures DSC signals and pressure signals at a 1000 times larger mL size. It measures the onset temperature of the reaction, the rate of pressure increase and pressure value due to the reaction, the rate of heat generation due to the reaction, and the total heat generation up to 400°C and 40MPa. Additionally, using AKTS/Thermokinetics allows for even more advanced thermal hazard assessments. *For more details, please download the PDF or contact us.*

• Other measurement, recording and measuring instruments