ELECTRA - Version EVE-AI™ 360 - Adaptive Controls for Battery Packs
Optimize Battery Pack Control Strategy with Adaptive AI Use AI technology to improve range, performance, lifetime, and safety of battery packs through software updates.
Features
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Continuous controls software updates through Adaptive AI Algorithm
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Range Extension
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Dynamic State of Charge Limits
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Route & Velocity Recommendations
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Battery Fault Alerts
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Fast Charging
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Dynamic Thermal Optimization
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Predictive Charging Model
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Overnight Charging Optimization
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Intelligent Fleet Management
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V2X Capabilities
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AI Learning Using Fleet Data
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Remaining Useful Life (RUL) Estimation
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Specifications
- Embedded software installation in ECU, BMS, or Hybrid
- Learns from historical and live data
- Cloud connectivity for Over-the-Air (OTA) updates and V2X data sharing
- Integration with BMS strategies
- Integration with Autonomous and ADAS Systems
- Battery Cell Chemistry Agnostic
- CAN Bus communication
- AUTOSAR compliant
Neural Network Algorithms
Proprietary strategy based on 360 degrees of data coming from the battery pack, the vehicle, the driver, and the environment, adapts to each model to create an custom controls approach. These models include:
- Energy Storage Models
- Vehicle Characteristic Models
- Individual Driver Profile Models
- Environment Models
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