Specifications of the MUNICH BATTERY LAB:
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Cell Characterization & Battery Performance Testing at MUNICH BATTERY LAB
Cyclic Lifetime Testing
Determines the number of charge/discharge cycles a cell can endure before reaching end-of-life. Used to assess durability under repeated operational conditions.
Calendar Aging Testing
Evaluates aging behavior at different states of charge and temperatures during storage.
Includes monitoring of self-discharge rates to determine storage stability.
Battery Lifetime & Aging Tests
Our battery aging tests evaluate long-term performance under cyclic operation and storage conditions. These methods provide critical data on capacity retention, degradation rates, and service life under real-world conditions.
Battery Lifetime & Aging Tests
Our battery aging tests evaluate long-term performance under cyclic operation and storage conditions. These methods provide critical data on capacity retention, degradation rates, and service life under real-world conditions.
Cyclic Lifetime Testing
Determines the number of charge/discharge cycles a cell can endure before reaching end-of-life. Used to assess durability under repeated operational conditions.
Calendar Aging Testing
Evaluates aging behavior at different states of charge and temperatures during storage.
Includes monitoring of self-discharge rates to determine storage stability.
Battery Capacity Test
Measures the usable energy output under standardized conditions to evaluate remaining capacity.
Internal Resistance Measurement (IR)
Assesses power loss and aging state through resistance analysis. Widely used for SOH estimation and quick condition checks.
Open Circuit Voltage (OCV) Measurement
Captures resting voltage to accurately estimate state of charge (SOC). OCV data supports BMS calibration and SOC validation.
High Precision Coulombmetrie (HPC)
Enables detection of minor capacity degradation through highly accurate current integration. Valuable for long-term testing, early aging detection, and cell modeling.
Internal Pressure Monitoring
Measures pressure changes due to gas formation or swelling, relevant for safety and aging assessment.
State of Health (SOH) & Battery Diagnostics
Accurate diagnostics are essential for understanding the current health and performance of battery cells. We offer key procedures to evaluate capacity fade, resistance increase, thermal stability, and pressure buildup.
State of Health (SOH) & Battery Diagnostics
Accurate diagnostics are essential for understanding the current health and performance of battery cells. We offer key procedures to evaluate capacity fade, resistance increase, thermal stability, and pressure buildup.
Battery Capacity Test
Measures the usable energy output under standardized conditions to evaluate remaining capacity.
Internal Resistance Measurement (IR)
Assesses power loss and aging state through resistance analysis. Widely used for SOH estimation and quick condition checks.
Open Circuit Voltage (OCV) Measurement
Captures resting voltage to accurately estimate state of charge (SOC). OCV data supports BMS calibration and SOC validation.
High Precision Coulombmetrie (HPC)
Enables detection of minor capacity degradation through highly accurate current integration. Valuable for long-term testing, early aging detection, and cell modeling.
Internal Pressure Monitoring
Measures pressure changes due to gas formation or swelling, relevant for safety and aging assessment.
Cyclic Voltammetry (CV)
Analyzes redox activity and electrode behavior through controlled voltage sweeps.
Differential Voltage Analysis (DVA)
Detects subtle changes in voltage curves to identify lithium plating, loss of active material, or electrode slippage.
Electrochemical Impedance Spectroscopy (EIS)
Characterizes internal resistance and charge transfer processes across frequency ranges. Useful for SEI evaluation, contact resistance analysis, and diffusion studies.
Electrochemical Characterization of Battery Cells
These advanced tests offer insights into the electrochemical processes inside the cell. They are critical for identifying degradation mechanisms, validating material behavior, and supporting fundamental research.
Electrochemical Characterization of Battery Cells
These advanced tests offer insights into the electrochemical processes inside the cell. They are critical for identifying degradation mechanisms, validating material behavior, and supporting fundamental research.
Cyclic Voltammetry (CV)
Analyzes redox activity and electrode behavior through controlled voltage sweeps.
Differential Voltage Analysis (DVA)
Detects subtle changes in voltage curves to identify lithium plating, loss of active material, or electrode slippage.
Electrochemical Impedance Spectroscopy (EIS)
Characterizes internal resistance and charge transfer processes across frequency ranges. Useful for SEI evaluation, contact resistance analysis, and diffusion studies.
Dynamische Stress Tests (DST)
Simulates real-world power profiles with alternating loads to assess responsiveness and voltage stability.
Pulse Load & Fast-Charging Capability (up to 1,600 A)
Verifies cell performance under short high-current loads and accelerated charging scenarios. Crucial for evaluating power delivery, cooling needs, and safety thresholds.
Fast-Charging Capability Testing
Measures how quickly a battery can be safely charged under high-current conditions. Key metric for e-mobility, rapid charging stations, and thermal management assessment
Temperature Stress Testing
Analyzes battery behavior under cold, moderate, and high-temperature conditions to assess performance and degradation.
Drive Cycle Profile Testing (e.g. WLTP, NEDC)
Simulates standard mobility cycles to assess real-use behavior of cells in electric vehicles and hybrids.
Cell Cooling Systems (Active / Passive)
Integration of thermal management strategies to stabilize temperature during high-power testing. Essential for repeatable test results and hardware protection.
Battery Performance Testing & Real-World Simulation
We replicate dynamic load conditions, fast charging, and temperature variation to evaluate battery performance under realistic use. These tests are key for EV, industrial, and high-current applications.
Battery Performance Testing & Real-World Simulation
We replicate dynamic load conditions, fast charging, and temperature variation to evaluate battery performance under realistic use. These tests are key for EV, industrial, and high-current applications.
Dynamische Stress Tests (DST)
Simulates real-world power profiles with alternating loads to assess responsiveness and voltage stability.
Pulse Load & Fast-Charging Capability (up to 1,600 A)
Verifies cell performance under short high-current loads and accelerated charging scenarios. Crucial for evaluating power delivery, cooling needs, and safety thresholds.
Fast-Charging Capability Testing
Measures how quickly a battery can be safely charged under high-current conditions. Key metric for e-mobility, rapid charging stations, and thermal management assessment
Temperature Stress Testing
Analyzes battery behavior under cold, moderate, and high-temperature conditions to assess performance and degradation.
Drive Cycle Profile Testing (e.g. WLTP, NEDC)
Simulates standard mobility cycles to assess real-use behavior of cells in electric vehicles and hybrids.
Cell Cooling Systems (Active / Passive)
Integration of thermal management strategies to stabilize temperature during high-power testing. Essential for repeatable test results and hardware protection.
Model Validation
Experimental comparison of measured data with simulated results for calibration of electrothermal and aging models. Based on inputs from HPC, IR, EIS, and capacity tests for accurate system modeling.
Model Validation
We validate digital battery models through precise measurement data from real cell behavior. Our methods support BMS development, predictive simulations, and digital twin implementation.
Model Validation
We validate digital battery models through precise measurement data from real cell behavior. Our methods support BMS development, predictive simulations, and digital twin implementation.
Model Validation
Experimental comparison of measured data with simulated results for calibration of electrothermal and aging models. Based on inputs from HPC, IR, EIS, and capacity tests for accurate system modeling.
Learn more about the test benches, testing capacities, and measurement infrastructure of the MUNICH BATTERY LABS.
Our current product catalog provides a concise overview of the technical equipment and available testing procedures.
Battery simulation models from your partner TWAICE.
Our partner TWAICE supports you in minimizing risks and seizing opportunities. With the help of a leading software platform, battery data and expertise can be optimized on a large scale.
- Simulation of physical tests
- Early warning model & integration into existing toolchains
- Unlimited use cases
- Dimensioning and design of batteries
- Early indication of aging
- BMS calibration
I'm looking forward to get in touch with you.
