Faster Charging,
Sustainable Future.
ElectricWOLF delivers AI-powered software with fast charging, that extends lifetime, and boosts performance for lithium-ion batteries across automotive, light mobility, off-highway and energy sectors.
Our Mission
Tackling the Industry's Biggest Challenges
Our software suite integrates seamlessly at the edge or in the cloud – turning data into intelligence and giving you the edge in electrification.
High
Battery Costs
Battery packs are the most expensive EV components – failures can cost between £5,000 and £10,000 per vehicle.
Massive
Recall Risks
A single battery-related recall can run into hundreds of millions. One recent case can cost $900 million for 87,000 vehicles.
Operational
Inefficiencies
Poor estimation can add £250-350 in lifetime cost per 50kWh battery, reducing ROI and system efficiency.
Maximum battery performance achieved with unique algorithms that offer best-in-class accuracy and robustness in battery state estimation and control.
Safety
Real-time anomaly detection and predictive thermal runaway prevention – ensuring safety across all applications.
Performance
High-accuracy SOX estimation and fast-charging capability improve range prediction and reduce oversizing across chemistries.
Lifetime
Advanced SOH and RUL models track health, predict lifespan, and support smarter asset and warranty management.
Industries we operate
ElectricWOLF partners with industry leaders in automotive, light mobility, commercial vehicles, off-highway, and energy storage – delivering intelligent, AI-powered battery software that supports all major lithium-ion chemistries, including NMC, LFP, and LTO.
ElectricWOLF isn’t just another software provider – we’re the edge that keeps you ahead. By combining automotive-grade precision with advanced AI, digital twins, and edge-to-cloud flexibility, we deliver battery optimisation software that performs where it matters most.
Our unique approach helps you unlock smarter, safer, and longer-lasting batteries – built for production, not prototypes.
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