EVE-Ai   360 Adaptive Controls for Battery Packs


360 Adaptive Controls for Battery Packs
An onboard battery pack software solution for every application

[EnPower product image]

Optimize Battery Pack Control Strategy with Adaptive AI 
Use AI technology to improve range, performance, lifetime, and safety of battery packs through software updates.
Energy Storage
Artificial Intelligence

  • Continuous controls software updates through Adaptive AI Algorithm

  • Range Extension

  • Fast Charging 

    • Dynamic Thermal Optimization

    • Predictive Charging Model​

    • Overnight Charging Optimization

  • Intelligent Fleet Management​

    • V2X Capabilities​

    • AI Learning Using Fleet Data

    • Remaining Useful Life (RUL) Estimation

  • 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

EVE-Ai   Onboard AI Algorithm is Hardware Agnostic


Install in eMobility vehicles, no matter the application, installation location, or cell chemistry.
  • EVE-Ai    is hardware agnostic and functions within standard BMS safety parameters

  • Deployed in current or future ECU, BMS, or Hybrid installation

  • Electra's proprietary neural network algorithms work on the back-end to inform AI learning 

  • Data collection, cleaning, and labeling occurs in the Cloud, saving memory storage on each hardware installation 


Have software integration questions? 


Learn more about EVE-Ai    Analytics


Receive battery pack alerts, monitor fleet performance, and push OTA updates.

AI Battery Pack Controls for Superior Performance
EVE-Ai   creates Range Extension, Fast Charging Strategy, and Lifetime Reassurance strategies for every battery pack. AI Algorithms decide the best method to get there for each unique pack.


Range Extension

EVE-Ai    increases the amount of usable energy while decreasing energy consumption using AI techniques to customize each battery pack's control strategy for longer range abilities.


  • EVE-Ai   provides Velocity Recommendations throughout drive cycle in cooperation with existing route planning software

  • Dynamic State of Charge (SOC) Limits expand the minimum and maximum SOC when safe conditions allow to extend range without overriding BMS safety functions

  • Eco routing is unlocked with ADAS and enhanced in Autonomous Vehicle installations


Fast Charging

EVE-Ai    reduces the strain of all charging instances with Dynamic Thermal Charging Strategy, a Predictive Charging Model, and Overnight Charging Optimization to allow for fast charging with limited State of Health impact. 


  • Dynamic Thermal Charging Strategy adapts charging strategy to diverse temperatures across the battery pack for fast charging with limited damage to cell lifetime

  • Predictive Charging Model created for each individual based on historical and fleet data for unique user habits

  • Overnight Charging Optimization reduces the impact on battery life by timing overnight charging with predicted morning drive time, allowing for fast charging the next day

Lifetime Reassurance

Ensure all battery packs meet service life and warranties with continuously updating, accurate cell modeling and usable lifetime predictions based on battery cell wear. 


  • EVE-Ai    uses an Adaptive Cell Model trained on laboratory cell data and improved with battery pack utilization for more accurate State of Health (SOH) and State of Charge (SOC) modeling

  • Battery Fault Predictability uses Artificial Intelligence to classify battery cell usable lifetime and alert before cell conditions become unsafe

  • Cloud Connectivity allows the AI model to continuously learn from worldwide fleet data for faster and more precise adaptation to specific driver profiles

V2X Communication for Energy Storage Precision
EVE-Ai    unlocks V2V, V2I, and V2G capabilities to adapt energy storage management according to surrounding conditions and activity for a detailed control approach 


Vehicle to Vehicle

For data sharing across fleets and models to improve AI responses in situations not yet encountered by each individual vehicle

Vehicle to Grid

Grid communication improves charging decisions to appropriately time charging with grid activity and save energy cost

Vehicle to Infrastructure

Traffic, weather, and condition predictions implemented into AI decisions in tandem with available IoT infrastructure

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