enerlytik — Intelligence Applied // OEM Intelligence · LFP Fleet
FLEET
ACT NOW
WARRANTY
Commissioned
Active
Under Service
Inactive
EOL / Replaced
DRI Distribution — Fleet Health Histogram
DRI distribution from below 50 to 80+.
Range vs SOH — Fleet Scatter
Fleet range vs SOH scatter plot.
Pack Performance Matrix
PackUnitsDRIAvg Rangevs BaselineSOH <60%WarrantyCriticalSurvival P50
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Critical Finding
44
Pack3401 health materially worse than Pack3001 across DRI, range, and warranty — despite being younger on average. 44 batteries warranty-claim eligible.
Service Waste
10.4%
Service dispatches are false alarms. One BMS firmware patch eliminates the category.
Detection Gap
0 alerts
BMS fired zero cell imbalance alerts. Platform is sole detection layer for 20.6% of faults.
Priority Queue — Action Required
Service Groups
Fleet Attribution — Degradation Drivers
RUL Distribution
Preliminary estimate. Direction is reliable; exact timing is not.
// INTELLIGENCE APPLIED
Fleet batteries (326)
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Deepdive
DEKF · SOC Correction
BMS vs physics model
SOH Three Methods
Capacity fade comparison
Physics Relations
SOH · EFC · Range · Spread
Degradation Curves
Pack3401 vs Pack3001
Signal Plotter
Configurable VWF explorer
Analytics
Fleet signal explorer
Model Catalogue
Status · MAPE · Gates
Intelligence Gap ›
The blind zone · control plane
Intelligence scenario
DEKF SOC Correction — BMS vs Physics Model
Dual Extended Kalman Filter corrects firmware-level BMS bias. GE segment overreads by 4.44% on average. Every range estimate in the fleet is affected.
DEKF SOC
Physics estimate
BMS SOC
Firmware reading
BMS Bias
Overread correction
DoD Corrected
vs observed
DEKF SOC vs BMS SOC weekly comparison.
LFP SOC MAPE 25.1% — physics constraint from flat OCV plateau (3.2–3.4V across 20–80% SoC). Not a software limitation. DEKF correction removes systematic firmware bias only.
Fleet DEKF Coverage
Covered
327
of 361 batteries
Coverage
90.6%
Active DEKF correction
GE Avg Bias
−4.44%
BMS overread
SG Avg Bias
−1.0%
BMS overread
Fleet BMS bias distribution histogram.
// enerlytik · The intelligence layer
The control plane for
every battery on Earth.
Nearly every battery on Earth is operating blind. Across grid storage, EVs, drones, and robotics — batteries degrade in unforeseen ways, fail unpredictably, and deliver only a fraction of their true potential. The industry's answer has been more batteries, heavier packs, greater redundancy. Exponentially increasing costs. Hardware compensating for what software could never see.
"Our AI is not watching the battery. It is running it. The answer was never more batteries — it is smarter ones."
The Blind Zone — What BMS Sees vs What the Platform Sees
BMS — One Dimension
Fires cell imbalance alerts 0 times across 192M IoT rows and 65 weeks
Reports SOH 97–100% on batteries with true SOH of 53%
Overreads SOC by 4.44% — every range estimate is wrong
Cannot distinguish pack design failure from operator behaviour
Generates 10.4% false-alarm service dispatches — ₹400K/year waste
Sees one battery. Cannot learn from 361.
enerlytik — Five Dimensions
Detects cell imbalance in 20.6% of service returns — 4–8 weeks ahead of BMS
Conservative SOH from 3 independent methods — physics-validated, not firmware guesswork
DEKF corrects SOC bias at fleet level — every range claim is corrected
Attribution engine separates design fault from operator fault — evidence-grade
Firmware false alarm identification — one threshold patch saves ₹400K/year
Every new battery makes every existing battery's model smarter. Network effect.
The Numbers — What Staying Blind Costs
0
BMS cell alerts fired
Across 192M IoT rows · 65 weeks · 361 batteries. Platform detected what firmware missed in 100% of cases.
44
Pack3401 warranty-eligible
Pack3401 health materially worse than Pack3001 (DRI 45 vs 53, warranty exposure 67% vs 43%) under similar conditions. Invisible without cross-fleet intelligence.
10.4%
Service dispatches are false alarms
78% share BMS firmware v2.1.3. One threshold patch eliminates the category. No hardware change needed.
4.4km
Range overstatement per trip
BMS SoC reads 5.5% high. Every driver navigates with an optimistic gauge. DEKF corrects this in software.
12–16mo
Earlier defect detection
Commissioning-stage cell-spread defects flagged at week 4. Standard warranty claims arrive 12–16 months later.
4 of 10
Urgent replacements were surprises
Not on the operator's known-bad list. Platform-discovered. RUL 0–8 weeks. Operator would have had stranded vehicles.
The Control Plane — Monitoring → Optimization → Control
Layer 1 · Live
Monitoring
· DRI score · SOH 3 methods
· RUL tier + breach probability
· SOX stress events (7 types)
· Cell imbalance detection
· DEKF SOC correction
· BMS blind-zone detection
· Early commissioning-defect flagging
· 361 batteries · weekly
Layer 2 · Building
Optimization
· Attribution: charging vs usage vs design
· Charging profile recommendations
· Route optimization per battery
· Warranty claim automation (AG-1)
· Replacement timing optimization
· Firmware patch identification
· Operator behaviour scoring
· Cross-fleet learning
Layer 3 · Planned
Control
· Real-time charging parameter control
· Thermal runaway prevention
· Dynamic DoD adjustment
· BMS firmware patch deployment
· Predictive cell balancing
· Second-life routing decisions
· Grid storage dispatch optimization
· Satellite / drone / robotics APIs
The Market — Every Battery on Earth Is Operating Blind
E-Rickshaw / 2W EVs
Operators replace batteries 9 months before electrochemical EOL. Revenue lost on working assets.
enerlytik today: 361 batteries · 13 months · Indian field conditions
Grid Storage (BESS)
30% of BESS value left on table. Degradation invisible at cell level. Thermal events catastrophic.
Same physics signals · same DEKF architecture · 100× more cells
Drones / Robotics
Battery failure mid-mission. No predictive layer. Replacement on schedule, not on condition.
Condition-based replacement · RUL precision matters at mission level
OEM / Warranty
Cannot distinguish design fault from operator fault. Every claim is a coin flip.
Attribution engine: OEM% vs operator% · Evidence-grade · Automated
Roadmap — From Monitoring to Control
Now · Live
Fleet Intelligence
361 batteries scored
DRI · SOH · RUL · SOX
Attribution engine
Warranty automation
OEM + NBFC surfaces
LIVE
Sprint F · AWS
Cloud Release v3
AWS deployment
Multi-tenant architecture
Conformal RUL bands
NMC digital twin
API for OEM systems
BUILDING
H2 2026
Optimization Layer
Charging recommendations
Route optimization
Predictive cell balancing
Real-time BMS correction
Grid storage pilot
PLANNED
2027+
Control Plane
BMS parameter control
Thermal runaway prevention
Second-life routing
Drone / robotics APIs
Global battery network
VISION
enerlyst
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