Engineering
Beyond Net ZERO

Embedding Sustainability Into Early-Stage R&D


Powertrain System Optimisation

In today's fast-changing automotive landscape, decision-makers face complex challenges in technology and sustainability. Traditional tools take months to evaluate a single scenario, while siloed design approaches limit collaboration, making it harder to find optimized solutions.


Success requires confidence, speed, and insight into trade-offs—all before major investments. That’s where ePOP helps.

ePOP, the electrified Powertrain Optimization Process, uncovers physical losses from energy source to output, reducing energy use, boosting speed,
cutting costs, or lowering embedded CO2. It identifies optimal architectures and trade-offs early, enabling confident decisions.

Explore design spaces, map concepts, and benchmark powertrain solutions virtually.
Evaluate trade-offs in efficiency, cost, mass, and sustainability with 'what-if' scenarios to optimize performance and profitability.

Go beyond net zero—balancing Engineering, Cost, and Sustainability KPIs.
This is Engineering Beyond Net Zero.

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Value Proposition


OEMs

Optimize your powertrain design, streamline sub-systems into a single EDU, evaluate multiple ideas, and benchmark against external designs and a simulated, physically achievable optimum. Fail fast—validate concepts before investing in prototypes—empowering quick, cost-effective decisions and enabling 'what-if' scenarios at minimal cost to drive technological competitiveness.

Tier 1-2s

Adapt your eAxle portfolio to meet the changing market demands of ICE, BEV, and HEV solutions. Determine where electrification adds value and where traditional ICE remains optimal. Create a unified library of components, consolidate them into eAxle designs, and evaluate their ideal fit across vehicles and cycles.

Suppliers

Demonstrate the value of your sustainable materials in real-world applications to justify investment. Identify the ideal target applications and cycles where your materials deliver the greatest benefits, and showcase reduced physical losses at the full application level for compelling communication.

Consultants

Showcase your Powertrain expertise by delivering dynamic, data-driven solutions that explore the full design space for optimal configurations. Complement static reports with an interactive tool that highlights your knowhow, fosters an iterative process, and helps clients uncover new solutions.

Case studies


Powertrain Concept Selection for a Mid-Sized OEM

Challenge
A mid-sized OEM needed to optimize the powertrain for their next BEV platform, balancing performance, sustainability, and cost. The goal was to evaluate existing components, consolidate inputs from sub-system design teams, explore new configurations, and identify the best Electric Drive Unit (EDU) for the target vehicle cycle.

Approach
Using ePOP, the team:

  1. Aggregated Baseline Data: Imported BEV platform requirements, eMotor, transmission, and inverter concepts to form an initial EDU.
  2. Generated Concepts:
    • Scaled eMotors and created new topology concepts (e.g., Axial Flux, Radial Flux, PMSM, EESM).
    • Designed transmissions with varying gear ratios and speeds.
    • Added inverters from a library of power modules to diversify EDU options.
  3. Simulated & Evaluated:
    • Analyzed losses at the EDU and subsystem levels (eMotor, inverter, transmission).
    • Assessed KPIs such as mass, embedded CO2, range, top speed, and acceleration.

Results
ePOP enabled rapid evaluation of thousands of configurations, identifying optimized EDUs that reduced losses, improved sustainability, and met performance targets—all before investing major resources.

Conclusion
ePOP streamlined the OEM's BEV powertrain development, delivering data-driven insights faster, and identified more sustainable solutions.

eAxle Tier-1 Supplier Optimizes RFQ Response

Challenge
A Tier-1 supplier needed to respond to an OEM RFQ for EDUs across vehicle segments A–F. The objectives were to develop modular and cost-effective EDU solutions while minimizing energy consumption and hardware proliferation. Additionally, the supplier needed to meet stringent performance targets for WLTP efficiency, mass, and total cost of ownership.

Approach
Using ePOP, the supplier:

  1. Aggregated Baseline Data: Imported RFQ specifications for top speed, acceleration, energy, and cost targets. Consolidated existing physical designs, virtual concepts, and new configurations.
  2. Generated Concepts:
    • Inverters: Standardized CREE 1200V Silicon Carbide across all segments.
    • eMotors: Used PM 8-layer designs to meet performance needs.
    • Transmissions: Developed single- and two-speed systems with scalable gear ratios.
    • Simulated WLTP cycles, filtering configurations by energy efficiency, cost, and mass.
  3. Simulated & Evaluated:
    • EDU1: Serves segments A–C with single motor, 2WD, and single-speed transmissions.
    • EDU2: Serves segments D–F with dual motor, 4WD, and two-speed transmissions.
    • Shared gear ratios within A–C and D–F for reduced proliferation.

Results

  • Energy Efficiency: Common EDUs consumed <3.5 kWh, with segment bests at 2.5 kWh.
  • Cost: Common EDUs stayed below $19,000, close to segment bests at $13,000.
  • Performance: All EDUs exceeded top speed and acceleration requirements for their segments.

Conclusion
ePOP enabled the supplier to identify scalable EDU solutions that minimized costs, energy consumption, and hardware proliferation while meeting all RFQ requirements. This streamlined approach delivered a strong, competitive RFQ response.

Identify Electrification Opportunities for Off-Highway Powertrains

Challenge
An ICE supplier aimed to identify where electrification and hybridization deliver the greatest value in off-highway applications. Objectives included reducing fuel consumption, improving performance under load, and maintaining cost-effectiveness using existing component catalogues.

Approach
Using ePOP, the supplier:

  1. Aggregated Requirements: Imported duty cycle, gradability, and acceleration targets; consolidated ICE, hybrid, and BEV components; set benchmarks for cost, energy, and versatility.
  2. Simulated and Optimized Configurations: Modeled ICE, parallel hybrid, and series hybrid powertrains; evaluated EV-mode range, energy distribution, and fuel savings; optimized battery sizing and scalability for hybrid systems.
  3. Identified Common Solutions: RWD ICE for high-torque simplicity; hybrid systems for fuel savings and adaptability; BEV solutions for low-duty or restricted emission zones.

Results

  • Fuel Savings: Hybrid systems reduced consumption by up to 30%.
  • Performance Gains: Improved acceleration under load by 15–25%.
  • Energy Management: EV-mode range of 30–50 km in hybrid setups.
  • Cost Efficiency: Leveraged existing components to minimize costs.

Conclusion
Hybrid systems delivered optimal fuel and performance gains, while BEVs were best suited for specific applications. ICE remained viable for high-load simplicity, enabling the supplier to balance electrification strategies and cost-effectiveness.

Quantify vehicle level KPI impact of more sustainable eMotor Materials

Challenge
A material supplier developing low-CO₂e metal powders faced challenges in demonstrating their value due to limited visibility into powertrain applications. Building physical prototypes would take years, delaying their ability to showcase material benefits to OEMs and Tier-1 suppliers.

Approach
Using ePOP, the supplier:

  1. Aggregated Requirements: Selected the VW ID.3 as a benchmark vehicle and replaced stator laminations with SMC-based powders. Incorporated WLTP driving cycle data to simulate real-world impacts.
  2. Simulated and Optimized Configurations: Tested various SMC powder grades for trade-offs in efficiency, power density, and CO₂e reduction. Iterated "what-if" scenarios for future material innovations.
  3. Identified Common Solutions: Calculated range, weight, and CO₂e changes due to material substitution. Provided performance, cost, and sustainability trade-offs for OEMs and Tier-1 integrators.

Results

  • Cost Reduction: Up to 10% manufacturing cost reduction.
  • Sustainability: CO₂e reductions of 15% per motor.
  • Time Savings: Shortened material development cycles by avoiding physical prototypes.

Conclusion

  • Weight Reduction: Up to 10% in motor components.
  • Sustainability: CO₂e reductions of 15% per motor.
  • Time Savings: Shortened material development cycles by avoiding physical prototypes.

Conclusion
ePOP enabled rapid virtual prototyping, allowing the supplier to showcase the performance, cost, and sustainability benefits of its powders directly to OEMs and Tier-1 suppliers, accelerating adoption of its sustainable materials.

Work in progress


 

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