ZeBeyond offers ePOP, a power system simulation software for fast, efficient, and accurate e-powertrain analysis. The platform helps engineers select and validate optimal architectures before committing significant budget, reducing reliance on overly simplistic spreadsheets or slow, costly CAE tools. It has been used by organizations like Dstl, the Canadian Armed Forces, JLR, and Stellantis for applications ranging from hybrid-electric military vehicles to hydrogen powertrain feasibility.
Funding
Funding not disclosed
Founders
Product
Problem
Electrification increases architectural complexity, but concept-stage tools are either too basic or too complex, costly, and slow. Simple tools like spreadsheets cannot evaluate thousands of architecture combinations or apply validated physics across a multi-variable design space, while CAE tools require full bills of materials, specialist operators, and long model-building cycles, risking settling on a local optimum rather than the best architecture.
Solution
ePOP is a power system simulation software that enables fast, efficient, and accurate e-powertrain analysis, allowing users to select and validate ideal architectures before committing the majority of their budget. It bridges the gap between basic spreadsheets and complex CAE tools by applying validated physics across a multi-variable design space without requiring full bills of materials or specialist operators. The platform translates complex outputs into decision-ready insights for non-technical stakeholders, ensuring analysis is clear and actionable. ePOP has been used in diverse applications, from battlefield mission simulation for hybrid-electric defence vehicles to hydrogen powertrain feasibility studies at programme scale.
Target Audience
Primary customers are engineering teams in the automotive, commercial vehicle, and defence sectors, including organizations like Jaguar Land Rover, Stellantis, Dstl, and the National Research Council of Canada, who need to evaluate hybrid-electric and hydrogen powertrain architectures during early concept stages.
Features
- Evaluates thousands of architecture combinations to avoid local optima and explore better design alternatives
- Applies validated physics across a multi-variable design space without requiring full bills of materials
- Delivers decision-ready insights for non-technical stakeholders, translating complex outputs into clear, actionable results
- Supports diverse applications including military vehicle architecture studies, hydrogen powertrain feasibility, and electric driveline development
- Enables rapid iteration between powertrain component and system levels, as demonstrated in collaborations with Stellantis and JLR
- Simulates advanced materials like Somaloy SMC to reveal system-level gains in performance, design flexibility, downsizing, and CO2 reduction