[EMBEDDED HW]
Hardware
Compact battery monitoring and interface hardware, with a relay module for switching, interfacing or electrical isolation according to the final circuit design.
EV BATTERY INTELLIGENCE PLATFORM
TESSERACKT
The Intelligence
Layer for EV Batteries
TESSERACKT is building an AI-powered battery intelligence platform for electric 2-wheelers and 3-wheelers.
Monitor · Predict · Recommend · Extend
CONCEPT VISUALIZATION // SYS: NOMINAL
VISUAL HIERARCHY // FROM CELL TELEMETRY TO DECISION LOGIC
CONTINUOUS INTELLIGENCE PIPELINE
01SENSORS / BMS
Battery Data
Raw Telemetry & Signals
02NEURAL MODELS
AI / ML
Machine Learning Models
03DIAGNOSTICS
Intelligence
Health & State Diagnostics
04PROGNOSTICS
Prediction
RUL & Degradation Forecast
05DECISION LOGIC
Recommendation
Operational Advisories
06FIELD VALUE
Action
Field Execution
01 // The problem
EV Batteries Degrade Silently
Charge percentage tells you what’s available now. It doesn’t tell you how your battery is doing over time.
EV users can see charge and range, but often lack a clear, actionable view of long-term condition, degradation trends, remaining useful life and what to do next.
DIAGNOSTIC COMPARISON // TWO DIFFERENT QUESTIONS
SoC
How much charge?
AVAILABLE RESERVESoH
How healthy?
CAPACITY RETENTION[SoC]State of Charge
[SoH]State of Health
[RUL]Remaining Useful Life
Battery health requires appropriate data, reference measurements and validation—not a single voltage reading.
02 // The solution
From Battery Data to Battery Decisions
A connected intelligence layer that makes complex battery behavior understandable.
STAGE 01
Monitor
Collect available battery and vehicle data.
STAGE 02
Analyze
AI/ML models analyze battery behavior.
STAGE 03
Predict
Estimate SoC, SoH, RUL and degradation trends.
STAGE 04
Recommend
Turn insights into understandable actions.
We don't just show battery data.
We turn battery data into actionable intelligence.
03 // The platform
TESSERACKT Battery Intelligence Platform
Hardware, intelligence and an application layer. Designed to work with the battery ecosystem—not replace the BMS.
PROPOSED SYSTEM ARCHITECTURE // END-TO-END DATA CHAIN
[01]EV Battery / BMS
[02]Monitoring & Communication Interface
[03]Relay / Switching / Isolation Module
[04]Data Acquisition
[05]AI / ML Engine
[06]Battery Intelligence
[07]Mobile / Fleet Dashboard
[NEURAL MODELS]
AI / ML
SoC, SoH, RUL, degradation and anomaly analytics, developed and validated against appropriate reference data.
[CLIENT DASHBOARD]
Application
Battery health, trends, alerts and recommendations—delivered through a mobile or fleet dashboard.
Available data depends on the vehicle, battery pack, BMS architecture and communication interface. The relay is a switching/interface/isolation element, not an analog signal buffer.
04 // The opportunity
Starting With India's 2W + 3W EV Market
~800k
Almost 800,000 electric
3-wheelers sold in 2025
~15%
Year-on-year growth in
electric 3W sales in 2025
~70%
Of India’s 3W sales were
electric in 2025
<1.3m
Electric 2-wheelers
sold in India in 2025
India remained the world’s largest electric 3W market. Commercial 3-wheelers are a major initial opportunity: battery condition can directly affect operating economics.
High utilization. Frequent charging. Repeated cycling. For 2W and 3W users, battery-dependent uptime makes understandable battery intelligence especially relevant.
India · 2025 sales data · Rounded figures as reported by the IEA.
05 // Built for the ecosystem
Intelligence That Leads to Action
Our focus is turning battery data into understandable predictions and actionable decisions.
EV OEMs
Battery analytics, diagnostics, warranty and field insights.
EV fleet operators
Predictive maintenance, uptime and battery replacement planning.
EV service networks
Battery diagnostics and informed service recommendations.
EV owners
Understandable battery health, alerts and recommendations.
Potential business model direction: B2B + B2B2C. These are intended customer segments, not a claim of current customers or revenue.
Traditional BMS · Simplified core role
Monitor Protect
TESSERACKT · Intelligence layer
[DECISION PIPELINE]Monitor Analyze Predict Recommend Action
Modern BMS systems already perform monitoring, protection, balancing and estimation. This simplified comparison illustrates our decision-support focus, not a limitation of modern BMS capabilities.
06 // Current development
Prototype → Validation → Pilot
Building the foundations. Prioritizing evidence.
Battery monitoring hardware
Relay / interface module
Data acquisition
Mobile application
SoC estimation
SoH estimation
AI/ML battery analytics
Battery health scoring
Recommendation engine
Current priority: real-world validation with 2W and 3W battery data.
07 // Proposed validation plan
90-Day 2W + 3W Pilot
A structured path from collected data to field-tested insights.
00–30Days
Data collection
Collect available battery and vehicle data from 2W and 3W platforms.
30–60Days
Model validation
Validate SoC/SoH, degradation indicators, anomaly detection and recommendation logic against appropriate reference measurements.
60–90Days
Field validation
Field validation with selected 2W users, 3W commercial users, fleets and service partners.
EVALUATION KPIS // NO PERFORMANCE TARGETS CLAIMED
SoC errorSoH errorRUL errorAnomaly detection performanceFalse positives / negativesHardware reliabilityData qualityRecommendation usefulness
08 // Long-Term R&D Vision
From Battery Intelligence to Intelligent BMS
A staged research roadmap. The long-term BMS chip is a vision, not an existing product.
Phase 01 · Today
Battery Intelligence
External monitoring, analytics and understandable recommendations.
Phase 02 · Roadmap
Embedded Battery Intelligence
Explore bringing validated intelligence closer to the battery.
Phase 03 · Long term R&D
BMS System-on-Chip
Research toward integrated monitoring, protection and embedded estimation.
[POTENTIAL FUTURE FUNCTIONS // HARDWARE-LEVEL INTEGRATION]
Cell-voltage and temperature measurement · Current measurement interface · Battery monitoring · Cell balancing · Protection logic · Embedded estimation algorithms · Communications · Diagnostics
SoC means State of Charge. System-on-Chip refers to integrated semiconductor hardware; these are distinct concepts.
09 // The team
Building Across Disciplines
Product, battery science, electronics and connected software.
Startup ecosystem
Supported by V-NEST, VIT Chennai
TESSERACKT is supported through the V-NEST startup ecosystem at VIT Chennai.
Let's build what comes next
Building Smarter Batteries
for Electric Mobility
TESSERACKT is building the intelligence layer that connects battery data, AI and actionable decisions.
Website by Sahil Mishra