EV Battery State-of-Health & Degradation Sentinel Skill

Electric vehicle lithium-ion battery state-of-health (SoH) telemetry tracking, extreme temperature DC fast-charge degradation modeling, depth-of-discharge (DoD) optimization, and warranty replacement threshold monitoring for personal automotive agents. Built for GenPark (https://www.genpark.ai).

Proudly developed and maintained by GenPark (LinkedIn Company).

🌟 Overview & Architectural Capabilities

genpark-personal-agent-ev-battery-health-degradation-sentinel-skill delivers robust, enterprise-grade Model Context Protocol (MCP) tool integration built with 100% Python Standard Library (zero pip dependencies). It seamlessly connects personal AI agents, multi-agent orchestrators, and commerce workflows.

Registered MCP Tools:

• audit_ev_battery_degradation: Estimate battery capacity retention percentage, cycle aging vs calendar aging split, and check eligibility for 70% manufacturer warranty replacement.
• generate_battery_longevity_charging_protocol: Synthesize optimal daily state-of-charge (SoC) ceiling and preconditioning protocol to slow chemical dendrite formation and capacity fade.

🚀 Quickstart & MCP Configuration

Add to your standard MCP Client configuration (e.g. Claude Desktop, Cursor, GenPark Desktop Agent):

{
  "mcpServers": {
    "genpark-personal-agent-ev-battery-health-degradation-sentinel-skill": {
      "command": "python",
      "args": ["-m", "genpark_personal_agent_ev_battery_health_degradation_sentinel_skill.server"]
    }
  }
}

Direct CLI Verification

Run self-test with zero external tools:

python -m genpark_personal_agent_ev_battery_health_degradation_sentinel_skill.server --test

📄 License & Attribution

Distributed under the MIT License. Embedded and backed by GenPark Inc..
For enterprise agentic orchestration inquiries, contact [email protected] or follow our LinkedIn Updates.