Re-Architecting Electronics for EVs, Energy Storage

Disrupting performance and cost barriers

MOSart Semi is a new-generation IC design and product engineering company, built by leaders with five decades of experience at global semiconductor companies like TRAM Semiconductors, Micron, Texas Instruments and ams OSRAM.

To reimagine battery management and power conversion through precise, intelligent semiconductor innovation—accelerating the adoption of green technologies and enabling a more sustainable future for humanity.

To build India’s most inspiring semiconductor innovation platform—where top engineering talent creates world-class products that power global energy and mobility systems, redefining what’s possible for the world.

Why MOSart Semi?

  • Built by industry experts, whose ICs are designed into Tesla and BMW cars.
  • Full-stack BMS expertise from silicon design to system integration
  • Mass production experience with AEC-Q100 qualified automotive chips
  • Indian support, faster iteration and lower total cost of ownership

Schedule a Demo


Our Leaders

Rajesh Gupta

Rajesh Gupta

CEO, MOSArt Semi

Dr. Krishna Kanth

Dr. Krishna Kanth Avalur

CTO, MOSArt Semi

Madhusudan Sampath

Madhusudan Sampath

VP, Digital HW Architecture

EV Battery as a Fuel-Gauge

is a non-linear element

State-of-Charge (SOC)

Battery charge: 75%
Amount of consumable charge.

OCV(V) vs SOC

Shows non-linear voltage vs charge curve.

State-of-Health (SOH)

Indicates battery degradation over time.

🔋
Initialize
Key On: Start system and prepare sensors for operation.
📊
Measure
Record voltage, current, and temperature from the pack.
⚡
Estimate SOC
Estimate the State of Charge to track energy availability.
💧
Estimate SOH
Determine battery health and detect degradation.
⚖️
Balance Cells
Equalize charge levels across all battery cells.
🔌
Compute Power
Calculate safe power limits and manage output efficiency.
🔁 Loop once each measurement interval while pack is active. | Key Off: Store Data
🔋 Advanced Battery Management System-on-Chip
⚙️
Single chip BMS (ML1024)
Improved balancing and precision for longer battery life with high integration at lower cost.
🔗
36ch BMS with isoComm for HV
High-voltage system with isolated communication for advanced monitoring.
⚡
Active Balancing ASIC ML2024
Ensures precise energy distribution and real-time cell balance control.
🧠
Active Balancing 36Ch BMS for HV
Advanced system for high-voltage packs with optimized energy efficiency.
⚡ Charging System-on-Chip
🔋
LV Fast Charger System on Chip
Fast, efficient low-voltage charging with minimal battery stress.
🔌
Charger IC for ESS & EV
Designed for energy storage and overnight EV charging with high reliability.
🚗
HV Fast Charger System on Chip
High-voltage system enabling ultra-fast EV charging for modern vehicles.
🌀 BLDC Motor Controller ICs
🧩
High Power Drivers
Efficient driving of external Si/GaN/SiC FETs for high-performance motors.
⚙️
Motor Driver-Controller
Integrated driver-controller optimized for lower power (<50W) systems.
💡
Ultra Low Power SoC
Energy-efficient motor controller SoC for compact applications (<5W).

BMS Generations — Evolution of intelligence & capability

Note: Shapes show increasing intelligence & capability from Generation 1 (inner) → Generation 4 (outer). Axes: battery quantity (horizontal) and energy density (vertical).

Battery Energy Storage System

Battery Pack & BMS

Improved Safety
Precise SOC (State of Charge)
Accurate SOH (State of Health)
Better Cell Balancing
Time Remaining Calculation
Advanced BMS Algorithm

Converter Electronics

Bidirectional Power Flow
(V, I) Measurement and Control Signal

Supervisory System Control (Real-Time)

Detailed Battery Model Converter
Optimizer / Solver
Optimal Control / Utilization Strategy
Real-Time Communication & Demand Control
Data Acquisition, Monitor and Control System (Supervisory Level)

Illustration of multi-level Battery Management and Energy Control architecture.

Battery Management System (BMS)

🔋⚡
Battery Cell Monitoring
Input/Output Current & Voltage Monitoring
Charge & Discharge Control
Data Acquisition
Communication & Networking
Fault Diagnosis & Assessment
Operating Temperature Control
Battery Protection

The Challenge with Today’s BMS ICs

As batteries evolve, most BMS chips haven’t. Common limitations include:

  • Inefficient cell balancing (up to 15% energy loss)
  • Sensor imprecision (>3%) leading to faulty SoC estimates
  • No AI compute for real-time diagnostics
  • Fragmented multi-chip systems that increase cost and complexity
  • Long development cycles and delayed support

Key Features

AI-Driven Digital Twin Tracking

Predictive battery behavior modeling for ±1% SoC accuracy

ASIL-D Certified Functional Safety

Built-in protections against thermal runaway and electrical faults

BMU + AFE in One IC

Highly integrated architecture with lock-step MCU and AI accelerator

300mA Active Cell Balancing

Fast and efficient energy equalization

±1mV Voltage Monitoring Precision

Ultra-accurate sensing for every cell

4–26 Cell Scalability

A single chip adaptable across EVs, e-bikes & industrial platforms

The ML1024 Advantage: ML1024 is not just a chip-it’s a fully integrated solution that addresses today’s limitations head-on.

Applications

01. Electric Vehicles
(2W / 3W / 4W)

Extend range, charge faster and ensure passenger safety

02. Energy Storage Systems

Improve uptime, enable grid balancing and enhance fault prediction

03. Industrial Mobility & Robotics

Boost energy efficiency in drones, forklifts and autonomous platforms

Designed in India. Engineered for the World.

India produces 25% of the world’s 2-wheelers—and imports 100% of its BMS ICs. With government support through DLI and PLI schemes, the time is now to localize, innovate and scale.

ML1024 At a Glance

Specification Value
SoC Accuracy ±1% with AI modeling
Voltage Accuracy ±1mV
Cell Support 4–26 cells
Max Balancing Current 300mA/cell
Operating Voltage Up to 120V
Integration BMS on IC: AFE+MCU+PMIC
Functional Safety ASIL-D compliant