EV Intelligence Tools

EVXpertz Tools Hub

India’s most advanced EV intelligence ecosystem — physics-driven forecasting, thermal analysis, battery health & fleet insights.

6 precision tools
12 scientific layers
India-first thermal calibration
Quantum Sim

Simulation Engine

Physics · Aerodynamics · Thermal Stress
Multi-physics modeling: rolling resistance, drag coefficient, battery C-rate stress, recuperation efficiency & heat flux. Used by OEM engineers & performance tuners.
Cd 0.22–0.45 thermal load efficiency matrix
Run Simulation
Longevity AI

Degradation Predictor

Battery Health Forecasting
Advanced degradation modeling using calendar aging, cyclic aging, fast-charge patterns, temperature exposure, and depth-of-discharge. Predict SOH, remaining cycles, and care score.
SOH after 5 years fast-charge impact lithium plating risk
Predict Health
Safety Guardian

Thermal Risk Indicator

Real-time Heat Stress Monitor
AI-driven thermal threat analysis — ambient temp, solar load, ride aggression, charging after discharge, pack history. Visual risk gauge (low → critical) + active cooling suggestions.
0–100 risk index pre-thermal runaway cooling advisory
Assess Risk
Elite Partner

Range Score Concierge

Fleet & Dealership Suite
White-label B2B intelligence: multi-vehicle benchmarking, fleet efficiency simulator, automated range reports & customer trust builder. Boost conversion with data-driven insights.
Fleet ROI comparative charts PDF exports partner dashboard
Partner Portal
Smart Charge

Smart Charging Optimizer

Charge Smarter · Save More
Real-time charging intelligence for Indian EV riders — optimal charge limits, thermal-aware scheduling, cost projection & actionable energy savings based on tariff, temperature & usage.
optimal SoC limit thermal-aware cost projection off-peak scheduling
Optimize Charging

Lab-grade Modeling

Each algorithm integrates real-world Indian drive cycles, NMC/LFP cell archetypes, and thermal runaway thresholds. Validated against 2.7M km of fleet data.

0.98 R² Score
Real-time sync ready
Disclaimer: All responses are based on research conducted by the EVXpertz R&D team and AI model training. While we strive for accuracy, AI-generated insights may contain errors. EVXpertz does not guarantee the absolute accuracy of these values, as multiple unknown and external factors can influence the results.