Published work, technical demos, and engineering insights from the Bhanexus team — showcasing real-world deployments and our AI-driven future roadmap.
Real-world deployed software across EV, BMS, PDU, and powertrain domains — shipped to production vehicles and tested to ISO 26262.
Mode manager, hierarchical state machines, and top-level vehicle supervisory control software deployed to production EV platforms.
High-voltage contactor sequencing, DCDC supervisory controls, and MCS/CCS charging controls — deployed and ISO 26262 compliant.
BTMS software, fault escalation logic, diagnostic trouble codes, and reactions — deployed across multiple vehicle programmes.
Engine management, HV controls for engine systems, sensors and actuator controls — supporting hybrid and conventional powertrain programmes.
EURO 6d+ emission controls supporting green vehicle solutions — requirement-based, verified, and calibration-documented.
L0 simulations with fully integrated plant models, and bespoke control functions developed from customer requirements.
We are sharing selected highlights from our HVIL Controls, Software, and System Engineering Requirements Design. The full package — system requirements, software requirements, MATLAB Simulink models, and V&V results — is available on request. Functionality is currently deployed to production vehicles and meets ISO 26262 and IEC 61851.
Our BTMS software empowers EV batteries to perform at peak efficiency under all operating conditions — with comprehensive functionality including active cooling, passive cooling, heating, diagnostics, and preconditioning. The control software manages the full thermal envelope autonomously, responding to cell temperature, ambient conditions, and driver demand in real time. Get in touch to discuss custom BTMS solutions tailored to your battery architecture.
We are actively developing a next-generation AI-assisted design tool that brings machine learning directly into the Simulink model-based development workflow.
Simulink AI Designer will leverage large language models and reinforcement learning to auto-generate, tune, and verify control system architectures — dramatically reducing design iteration time from weeks to hours.
Natural language requirements are automatically translated into structured Simulink models — with traceability, ISO 26262 compliance annotations, and suggested test vectors generated in context.
AI-driven test case generation that learns from simulation results, identifies uncovered requirements, and autonomously expands the test suite — reducing manual V&V effort by up to 60%.
The global model-based design tooling market is projected to exceed $8B by 2030. Simulink AI Designer positions Bhanexus at the intersection of AI and safety-critical engineering — a category with no direct incumbent.
Bhanexus is seeking strategic partners and early adopters to co-develop Simulink AI Designer. If you are an investor, automotive OEM, or Tier-1 supplier interested in shaping the future of AI-assisted control system design — we want to hear from you.
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Follow BHANEXUS ↗From published V&V work to bespoke library development — we're open to conversations.