Lithium Optima provides ISO 13849 PL C‑certified Battery Management Systems for 24‑48 V lithium packs, combining integrated sensing, cell balancing, and AI‑driven state‑of‑charge estimation in a single hardware unit. The cyber‑secure OPTIMIZER™ software enables rapid configuration, remote diagnostics, and custom development for OEMs and system integrators in EV, industrial, and stationary storage applications.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers of 24‑48 V lithium battery packs often lack integrated, safety‑certified Battery Management Systems that combine precise monitoring, reliable cell balancing, and advanced state‑of‑charge estimation, leading to reduced performance, shorter battery life, and compliance challenges.
Solution
Lithium Optima delivers fully integrated BMS hardware and software designed for 24‑48 V lithium packs. The LO‑BMS16‑M™ hardware incorporates built‑in current, voltage, and temperature sensing, as well as cell balancing and pre‑charge functions, all meeting ISO 13849 PL C safety standards. Configuration and diagnostics are performed with the cyber‑secure OPTIMIZER™ tool, enabling fast setup and remote troubleshooting. Proprietary AI and fuzzy‑logic algorithms provide accurate state‑of‑charge, health, and performance estimations, improving usable capacity and extending battery lifespan. The solution is offered as a monolithic design with optional custom projects to meet specific application requirements.
Target Audience
Primary customers are OEMs, system integrators, and manufacturers of electric vehicles, industrial equipment, and stationary energy‑storage systems that require certified, high‑performance BMS solutions for 24‑48 V lithium battery packs.
Features
- ISO 13849 PL C compliant BMS hardware (LO‑BMS16‑M™) with integrated current, voltage, temperature measurement and cell balancing
- Cyber‑secure OPTIMIZER™ configuration and diagnostics software for rapid setup and remote troubleshooting
- AI‑driven and fuzzy‑logic battery algorithms delivering precise SOC, SOH, and performance predictions
- Advanced balancing algorithm that accounts for individual cell resistance, enabling faster and stable balancing even in LFP applications
- Flexible product portfolio including LO‑BMS32‑F™ and LO‑BMS‑X™ for higher voltage and current ranges up to 1000 V
- Custom BMS development based on proven hardware design, components, and software architecture