A computational workbench for battery lifetime prediction, including a frequency-domain lifetime solver, operating profiles, temperature data management, and simulation results.
The workbench brings cell lifetime data, vehicle and battery pack parameters, operating conditions, and temperature inputs into one project. It predicts capacity retention over time and shows the contributions of cycle and calendar aging. Calculations run locally, and projects, results, and reports can be saved for later review.
Applications
- Estimate capacity retention at different service durations under specified cell data and operating conditions.
- Compare scenarios after changing operating profiles, temperatures, or thermal management assumptions.
- Retain inputs, results, and reports together so that the basis of an assessment can be reviewed.
Begin by identifying the battery, operating conditions, target service life or mileage, and capacity-retention requirement. The default example helps you learn the workflow. Replace it with verified data for an actual assessment.
Functional modules
| Area | Purpose |
|---|---|
| Project | Manage projects, scenarios, and input readiness |
| Model Inputs | Configure cell data, vehicle and pack parameters, daily conditions, weekly states, temperature, and lifetime matrices |
| Study & Run | Review solver settings, run a simulation, and inspect status and logs |
| Results Analysis | Review lifetime summaries, cycle/calendar losses, operating profiles, and exposure results |
| Reports & Artifacts | Complete report information, retain report versions, and export data and reports |
Inputs and outputs
| Input category | Information to prepare |
|---|---|
| Cell lifetime | Cycle life, calendar life, temperature anchors, and degradation parameters |
| Vehicle and battery pack | Battery energy, usable energy, range, pack configuration, and thermal assumptions |
| Operating conditions | Daily distance and energy, charging shares, driving and parking periods, and SOC changes |
| Temperature | Daily maximum/minimum temperatures, their source, and the basis for temperature-rise corrections |
| Run requirements | Operating days per year, total months, target years or mileages, and iteration mode |
Use the units displayed in the interface. A parameter being visible does not mean every model consumes it; check the inputs supported by the selected solver.
Outputs include SOH curves, cycle and calendar losses, weekly operating profiles, and postprocessed results against time, cumulative energy throughput, and mileage. Export data as CSV and reports as HTML, PPTX, or a package containing reports, figures, and tables.
Method and scope
The currently executable path is the empirical Frequency-Domain Lifetime Solver. It aggregates operating and temperature inputs into exposure and weighting information, combines these with cell lifetime data, and calculates aging month by month.
This approach supports lifetime assessment and scenario comparison under stated assumptions. It does not solve complete electrochemical fields such as internal concentration and potential distributions. Experimental or reserved ECM, SPM, SPMe, and P2D entries do not indicate executable implementations of those models.
Prediction reliability depends on the lifetime data, the representativeness of operating and temperature inputs, and validation under the intended conditions. A completed calculation does not establish experimental validation, project acceptance, or a warranty commitment.
Suggested reading order
- Follow the user guide to complete a calculation with the default data.
- Use Understanding results to review the example values, curves, and units.
- Create a separate project for an actual assessment, supply verified inputs, and retain the calculation and report sources.
Frequency-domain Lifetime Simulation and the Battery Life Sim name shown in the application refer to the same workbench. Record the algorithm version and iteration mode of each run for traceability.
Software contact
For enquiries about software use, model applicability, simulation results, or technical collaboration, please contact:
- Contact: Zitao Ni
- Email: nizitao1996@outlook.com
To support technical review, include the application context, main input conditions, observed issue, and algorithm version. Relevant reports or screenshots may be attached when requesting a review of simulation results.
Documentation and example evidence: September 8, 2026. Frequency-domain Lifetime Simulation and the Battery Life Sim name in screenshots refer to the same workbench.
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