bms-development

Solid

Battery system design, BMS algorithm development, and validation expertise

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Battery Management System Skill ## Purpose Provide comprehensive battery system design and BMS algorithm development capabilities for electric vehicle applications including state estimation and thermal management. ## Capabilities - Cell characterization data analysis (HPPC, capacity, OCV) - State-of-Charge (SoC) estimation algorithms - State-of-Health (SoH) estimation methods - Cell balancing strategy implementation - Thermal management system sizing - Battery pack electrical design - Fault detection and diagnostics - Abuse testing scenario definition ## Usage Guidelines - Characterize cells across full temperature and SOC range - Validate SoC algorithms against reference methods - Design thermal management for worst-case conditions - Implement robust fault detection for safety - Consider cell aging in lifetime predictions - Document battery specifications and safety limits ## Dependencies - GT-SUITE - AVL CRUISE M - MATLAB/Simulink - Battery testing equipment ## Process Integration - PTE-001: Battery System Design and Validation - PTE-004: Powertrain Calibration and Optimization - SAF-001: Functional Safety Development (ISO 26262)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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