Predict Battery Aging and Capacity Loss with Patented Precision Using CellSage™
CellSage is a patented battery simulation tool that models and predicts capacity loss due to dominant degradation mechanisms like loss of lithium inventory and loss of active material—empowering faster testing, smarter design decisions, and longer-lasting performance across EVs, grid storage, robotics, and more.
CellSage™ is a patented battery health modeling, simulation, and analysis (MS&A) software tool that delivers highly accurate predictions of battery aging and capacity loss across a wide range of chemistries and applications. Designed to simulate degradation due to key mechanisms such as loss of lithium inventory (LLI) and loss of active material (LAM), CellSage™ empowers battery developers and researchers to optimize cell designs, extend life cycles, and reduce the time and cost of development.
Built with an advanced sigmoidal rate expression (SRE) framework, CellSage™ enables high-fidelity simulation of over 20 battery health metrics, including capacity fade, state of charge (SoC), internal resistance growth, thermal hot spots, and power fade. Its unique algorithmic foundation allows for the precise characterization of how batteries degrade under real-world cycling profiles, environmental conditions, and usage scenarios.
CellSage™ includes a powerful Detailed Cycling Conditions (DCC) module, which supports user-defined operational scenarios—including variable temperature ranges, thermal management strategies, and duty cycles—to evaluate battery performance over an arbitrarily chosen aging path. This flexibility provides insight into how batteries will respond in specific applications, such as electric vehicles, grid-scale energy storage, robotics, and power tools.
A key feature of CellSage™ is its New Chemistry Import capability, which enables users to add new cell chemistries to the modeling environment with minimal experimental data. This significantly accelerates early-stage R&D and expands the tool’s relevance across emerging chemistries, including solid-state and lithium-metal designs.
Whether used for R&D, design optimization, warranty validation, or battery management system (BMS) development, CellSage™ serves as a powerful virtual lab for understanding and improving battery longevity. By reducing testing time and enabling science-based predictions, it helps organizations bring better battery technologies to market—faster, safer, and more cost-effectively.
Key Features & Benefits
- Physics-Based Accuracy with Patented Modeling
CellSage is built on a patented modeling architecture that uses Sigmoidal Rate Expressions (SREs) to simulate capacity loss driven by dominant degradation modes—Loss of Lithium Inventory (LLI) and Loss of Active Material (LAM). This foundational approach enables high-fidelity prediction of both calendar and cycle life degradation under real-world conditions. - Early-Life Capacity Loss Prediction
With less than three weeks of capacity loss data, CellSage can predict long-term battery aging trends with 1–2% absolute error and 5–10% relative error. This acceleration reduces the need for extended lab testing, speeding up development cycles. - Dynamic Stress & Path Dependence Simulation
Simulate complex operational scenarios with the Detailed Cycling Conditions (DCC) module and explore aging path dependence—how the sequence and severity of stress factors impact degradation. This is especially valuable for electric vehicles and grid storage systems that experience fluctuating loads. - Customizable Chemistry & GUI Interface
CellSage includes a New Chemistry Import Feature and Autofit for SRE estimation, allowing rapid calibration of models for new battery types with just four baseline datasets (2 for cycle life, 2 for calendar life). The user-friendly GUI allows parameter tuning, visualization of degradation mechanisms, and generation of simulation results without third-party software. - Multivariable Performance Modeling
Model over 20 metrics including capacity loss, thermal behavior, power fade, and state-of-health (SoH) indicators across years of simulation time. Users can assess how different state of charge (SoC) regimes, temperature profiles, and duty cycles influence performance and reliability. - Embedded BMS Integration Potential
CellSage can be embedded into real-time Battery Management Systems (BMS) to provide live degradation tracking, support predictive maintenance, and enable adaptive control strategies that mitigate aging in situ. - Cost & Risk Reduction
By replacing or reducing the need for prolonged empirical testing, CellSage cuts R&D costs by over 50%, shortens time-to-market, and de-risks investment decisions in battery design and deployment.
CellSage Product Overview
CellSage™ Applications
Electric Vehicles & Grid Energy Storage
Model and predict battery degradation under real-world conditions—from dynamic driving profiles to fluctuating grid loads. Support warranty modeling, BMS optimization, and system planning with high-fidelity aging simulations.
Battery R&D & New Chemistry Evaluation
Accelerate development of advanced lithium-ion and solid-state chemistries using CellSage’s New Chemistry Import feature. Simulate lifetime performance with minimal baseline data to reduce lab testing and accelerate innovation.
Battery Lifecycle Management & Second Life Analysis
Assess aging path dependence and Remaining Useful Life (RUL) to determine repurposing potential for used batteries. Optimize retirement, recycling, and reuse strategies for sustainability and cost-efficiency.
Embedded Systems & BMS Development
Integrate CellSage’s degradation models into embedded battery management systems for real-time SoH tracking, anomaly detection, and prognostic control logic across automotive, aerospace, and industrial platforms.
High-Performance & Mission-Critical Applications
Design batteries for demanding environments such as robotics, aerospace, and power tools. Simulate thermal stress, high C-rate cycles, and variable duty profiles to ensure durability, safety, and reliability.
CellSage™ Collaboration Opportunities
At Ridgetop Group, collaboration is key to advancing battery technology. We partner with industry leaders and academia to integrate CellSage into Battery Management Systems (BMS) and Integrated Vehicle Health Monitoring (IVHM) systems, ensuring accurate state-of-health (SoH) assessments and predicting Remaining Useful Life (RUL). Our embedded technology allows real-time battery monitoring, supporting Condition Based Maintenance (CBM) and Prognostic Health Management (PHM). This enhances vehicle reliability by detecting potential faults early, optimizing maintenance, and extending battery life. Contact us to explore collaboration opportunities for your battery-powered systems.
CellSage Product Introduction
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