Technology
Battery Management
Maximizing the residual value of second-life EV batteries through advanced control algorithms and multi-layer protection.
Core Functions
Six Key Capabilities
An integrated control system that manages battery safety, performance, and longevity simultaneously.
SoC Estimation
An Extended Kalman Filter combined with a neural-network correction layer estimates remaining battery charge with under ±2% error in real time, even across diverse cell chemistries and aging states.
SoH Diagnosis
A data-driven degradation model quantifies battery health from charge/discharge history and impedance analysis, providing an accurate remaining-life prediction for each pack.
Cell Balancing
Active and passive balancing strategies minimize inter-cell voltage deviation, maximizing overall pack efficiency and extending calendar life for second-life deployments.
Thermal Management
Distributed temperature sensor data drives active cooling control, maintaining cells within their optimal operating temperature window under varying load conditions.
Power Control
Charge and discharge current limits are adjusted dynamically based on cell state, balancing instantaneous performance against long-term capacity preservation.
Fault Detection
Multi-layer protection logic (OVP, UVP, OTP, OCP, SCP) combined with self-diagnostic routines detects and isolates abnormal conditions in real time before they cause damage.
Second Life
Battery Second-Life Process
Retired EV batteries are safely reborn as ESS or industrial battery packs through a structured five-stage workflow.
01
Collection and Sorting
Retired EV battery packs are collected and subjected to visual inspection and initial classification.
02
Residual Performance Diagnosis
M-BMS diagnostics hardware measures SoH, impedance, and capacity with high precision.
03
Pack Reconditioning
Cells are selected and recombined based on diagnostic results to build an optimally matched pack.
04
M-BMS Integration
A dedicated BMS controller is installed and parameter optimization is performed for the new pack configuration.
05
ESS Shipment
Final performance verification is completed before the reconitioned pack ships as an ESS, residential, or industrial battery.
Performance
Technical Performance Metrics
- SoC Estimation Error
- ±2% or better
- Supported Cell Configuration
- Up to 32s × 4p
- Communication Protocols
- CAN / UART / BLE
- Protection Layers
- 5-layer protection logic
EKF + neural-network correction
Expandable topology
Multi-interface support
OVP · UVP · OTP · OCP · SCP
BMS System Architecture Diagram
Government Research
Funded R&D Projects
Ministry of SMEs and Startups
AI-based battery pre-diagnosis and remaining-life prediction.
KEIT
Embedded BMS algorithm development for second-life battery packs.
Kyung Hee University / IITP
Smart building integration combining OCC positioning and intelligent lighting control.
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