DS‑EV Battery Enhancement Software — Version 7.0.0 Release Notes

Hardened AILEE Trust‑Layer Integration • Compartmentalized EV Intelligence • Safety‑Bounded Continuous Learning

Overview

Version 7.0.0 introduces a major architectural evolution of the EV intelligence stack, integrating the AILEE Trust‑Layer, compartmentalized subsystem interfaces, trust‑gated continuous learning, hardened safety envelopes, and full rollback/audit capabilities. This release establishes the foundation for deterministic real‑time control paired with adaptive learning governed by strict trust and safety constraints.

1. AILEE Trust‑Layer Integration

A new trust‑governed execution framework has been added under include/ailee_trust_layer/ using the ailee::ev namespace.

Key Components

• AILEE Trust Gate — enforces trust‑score validation before any subsystem state transition.
• Compartment Contracts — unified interface patterns for BMS, Thermal, Charging, Safety, and Anomaly Detection.
• Deterministic Real‑Time Guards — zero‑allocation, bounded‑latency control paths.

This layer now governs all safety‑critical operations.

2. Compartmentalized EV Architecture

Subsystems have been reorganized into hardened, modular compartments:

• BMSCompartment
• ThermalCompartment
• ChargingCompartment
• SafetyCompartment
• AnomalyDetectionCompartment

Each compartment implements strict interface contracts and communicates through trust‑layer wrappers, ensuring isolation, predictability, and controlled learning.

3. Continuous‑Learning Safety Envelopes

Learning is now bounded, trust‑gated, and rollback‑capable.

New Learning Rules

• Parameter updates only apply when trust_score ≥ 0.85.
• Updates must fall within pre‑verified safety envelopes.
• Multi‑signal consistency checks required (temperature, SOC, SOH, degradation).
• Learning automatically suspends during anomaly spikes or sensor inconsistency.

This ensures adaptive behavior without compromising safety.

4. Parameter Snapshotting, Audit Logging & Rollback

A full audit and rollback system has been implemented.

Snapshot Contents

• previous_params
• proposed_params
• timestamp
• trust_score
• compartment_id
• rollback_handle

Logging Targets

• logs/ailee_automotive_audit.log (human‑readable)
• logs/ailee_learning_audit.json (structured)

Rollback is atomic, deterministic, and available for all learning‑driven updates.

5. Level 3 Protective Mode

A hardened Protective Mode now activates under:

• anomaly injection
• sensor failure
• trust degradation
• inconsistent subsystem signals

Protective Mode reverts control loops to conservative, pre‑validated parameters and suspends learning until stability is restored.

6. Backwards‑Compatibility Adapters

Legacy modules remain fully supported via adapter shims:

• DSEnhancement
• DSTorqueManager
• DSBMSMiddleware
• AileeHorsepowerGovernor

These adapters bridge legacy interfaces into the new trust‑layer architecture without breaking existing deployments.

7. Expanded Test Suite

A new suite (tests/test_ailee_trust_integration.cpp) validates:

• Trust‑gated learning acceptance/rejection
• Protective Mode activation under anomalies
• Backwards‑compatibility behavior
• Deterministic compartment execution
• Rollback correctness

This suite forms the safety net for all future releases.

8. Versioning & Hardening Summary

Version 7.0.0 represents a major architectural milestone, introducing:

• Trust‑layer governance
• Compartmentalized EV intelligence
• Safety‑bounded continuous learning
• Full audit + rollback
• Protective Mode
• Hardened real‑time execution
• Backwards‑compatible evolution

This release establishes the long‑term foundation for adaptive, safe, and trustworthy EV intelligence.