Quantum-Inspired Thermal Intelligence for India’s Next-Generation EV Ecosystem

January 2026,  

BQP (BosonQ Psi) has participated in a comprehensive milestone review and stakeholder engagement initiative under a project supported by the Ministry of Heavy Industries and the Indian School of Business. During the engagement, the BQP team presented its ongoing work in advanced EV electronics optimization, thermal intelligence systems, and physics-aware simulation technologies designed for India’s evolving EV ecosystem. The showcase highlighted BQP’s work across quantum optimization engines, thermal management simulation, and computational engineering platforms focused on improving EV safety, efficiency, and scalability.

Project Focus

The initiative focuses on safety-critical thermal management systems that directly influence electric vehicle performance, reliability, thermal stability, and long-term operational efficiency. The project addresses complex battery optimization challenges associated with high-density EV architectures, fast-charging environments, and next-generation vehicle platforms through advanced computational engineering and simulation methodologies.

Quantum-Optimized Battery Management

A major focus of the technical presentation was BQP’s Quantum Integration Optimization (QIO) framework, which acts as the computational intelligence layer of an EV battery system. The framework enables real-time mitigation of thermal runaway propagation, helping prevent catastrophic cascading across battery cells while improving overall pack reliability and thermal safety. The optimization environment also supports multi-objective balancing of cell packing density, spatial constraints, and heat transfer efficiency through mathematical optimization of battery pack parameters such as thermal mass, cell area, and inter-cell gaps. The showcased workflow further demonstrated data-driven QUBO (Quadratic Unconstrained Binary Optimization) formulations designed to model and solve highly complex thermal stability challenges in EV systems.

Advanced Simulation Technology with BQPhy®

The engagement also included demonstrations of BQPhy®, BQP’s multi-physics engineering simulation platform developed for intensive EV analysis and optimization workflows. The platform integrates CFD simulation, torque and vehicle-level parameter optimization, and real-time thermal estimation using complete MATLAB Simulink-based engineering models. The showcased workflows demonstrated how vehicle-level variables such as vehicle mass, drivetrain characteristics, and tire radius can be integrated directly into battery optimization and thermal management analysis. The simulation environment is designed to support efficient EV system design while reducing constraints associated with conventional thermal management system engineering workflows.

Why It Matters

The initiative contributes toward strengthening India’s domestic capability in EV simulation, computational engineering, and deep-tech innovation. By focusing on indigenous quantum-inspired optimization and multi-physics simulation technologies, the project supports reduced dependency on imported black-box engineering systems and enables the development of scalable, physics-aware EV architectures tailored for Indian operating environments. The work also advances domestic expertise in EV pack optimization, thermal intelligence systems, and computational vehicle engineering for future electric mobility applications.

Technical Review Gallery

The project interactions included hands-on review sessions, hardware demonstrations, and engineering discussions with the BQP (BosonQ Psi) team during the R&D showcase. The technical poster presentation detailed mathematical approaches for mitigating thermal runaway using quantum-inspired optimization methodologies, while the live platform demonstrations showcased the capabilities of the BQPhy® simulation environment alongside the ISB and MHI co-branded project display. The engagement also included industry recognition and stage commendation related to emerging EV battery technology commercialization and indigenous engineering innovation initiatives.

Advancing Indigenous EV Engineering

BQP (BosonQ Psi) acknowledges the support of the Ministry of Heavy Industries and the Indian School of Business in enabling continued advancement in indigenous EV electronics, thermal safety engineering, vehicle intelligence systems, and next-generation computational optimization technologies for India’s electric mobility ecosystem.