The beaconV platform offers possibilities to support the development of battery electric vehicles (BEVs). It enables users to configure multiple vehicle concepts, estimate driving range, and explore various design possibilities. By leveraging advanced visualization and calculation capabilities, beaconV helps engineers and manufacturers optimize powertrain configurations, select the best battery technologies, and analyze trade-offs in performance and efficiency. The platform simplifies the decision-making process, allowing for faster iterations and more informed choices in BEV development. Whether you are evaluating new battery cell designs or battery packaging strategies, beaconV provides the insights needed to drive innovation.
The Complexity of Battery Electric Vehicle (BEV) Development
The shift toward battery electric vehicles (BEVs) presents an exciting yet complex challenge for manufacturers and engineers. Unlike traditional internal combustion engine (ICE) vehicles, BEVs require a completely different approach to powertrain design. The variety of available electric motors, battery cells, and packaging solutions means that there is no one-size-fits-all solution. Each decision impacts performance, range, cost, and sustainability.
Selecting the right battery technology is one of the most crucial steps in BEV development. Engineers must consider energy density, charging speed, lifecycle, thermal management, and safety standards. Moreover, different use cases — from urban mobility to long-haul freight — require tailored solutions, making the development process even more intricate. As a result, the need for a streamlined, data-driven approach has never been greater.
Introducing beaconV: The Smart Solution for BEV Development
To simplify this complexity and enable faster, better decision-making, we introduce beaconV, our electric vehicle configuration platform. Accessible directly on our website, beaconV is designed to assist engineers and decision-makers in evaluating and classifying next-generation battery technologies.
With beaconV, users can:
- Compare and classify battery cells and packages based on key performance indicators such as energy density, packaging, or vehicle range. The user can adjust cell capacities, change the number of cells per module, and modify module counts and see real-time model updates. This flexibility helps optimize battery configurations for electric vehicle applications.
- Optimize design trade-offs by analyzing real-world performance data and balancing factors like packaging space, range, cell specific advantages and more. A statistical projection plot clusters modern EVs into common vehicle segments, allowing the user to see the current configuration and adjust it using a slider for better insights.
- Accelerate the development cycle by providing a structured evaluation framework, reducing trial-and-error testing and expediting the transition from concept to production.
As BEV innovation continues to evolve, leveraging advanced tools like beaconV will be essential in staying ahead of the competition. By integrating data-driven insights into the design and development process, manufacturers can create more efficient, high-performance electric vehicles tailored to the demands of tomorrow’s mobility landscape. Explore beaconV today and take the next step in revolutionizing BEV development.
Conclusion
BeaconV is designed to grow with user needs, with options to integrate Model-Based Systems Engineering (MBSE), custom data models, advanced visualizations, and AI agents (beta). For custom integrations, model expansion, or feedback, please get in touch.
