eHighway GHG Scaling Calculator
A B2B software tool for logistics companies to calculate greenhouse gas savings and battery optimization potential based on the percentage of a route covered by electric road systems (ERS). The tool helps fleet operators determine the ideal balance between infrastructure usage and vehicle battery size to minimize both emissions and total cost of ownership.
Concept
An enterprise-grade calculator that allows fleet operators to input route data and available eHighway/ERS infrastructure to determine the reduction in direct greenhouse gas emissions. While initially focused on overhead contact lines, the tool now incorporates a broader definition of Electric Road Systems (ERS), including dynamic wireless charging.
Evidence-Based Enhancements
Beyond simple GHG scaling, the tool now integrates the following evidence-based dimensions:
- Battery Downsizing & Cost Reduction: Research indicates that dynamic charging allows for significantly smaller and lighter batteries. Evidence suggests that a mix of ERS and home/stationary charging can reduce required battery ranges by 62–71% [3], which directly lowers the vehicle's curb weight and initial purchase cost [1].
- TCO and Non-Monetary Value: While the total cost of ownership (TCO) for electric fleets can be higher than internal combustion engines, empirical data from organizational fleets shows that non-monetary benefits often overcompensate for these costs, increasing the willingness of companies to adopt e-mobility product-service systems [2].
- Operational Efficiency: The calculator accounts for the fact that ERS reduces peak charging demand by distributing energy intake throughout the day, potentially lowering energy costs for the operator [3].
Constraints and Caveats
To maintain credibility, the tool acknowledges that ERS benefits are not uniform. The required battery range remains dependent on specific geography (e.g., rural residents requiring 15–18% more range than urban residents [3]), meaning the "scaling effect" of GHG savings must be calibrated to the specific spatial distribution of the infrastructure rather than a flat percentage of the route.
AI assessment
A focused B2B decision-support tool that translates ERS infrastructure availability into concrete CAPEX savings on battery sizing and GHG reductions for fleet operators.
- Evidence strength 5/5
- The idea is strongly supported by four converging papers covering GHG scaling, battery downsizing percentages, TCO drivers, and real-world field test data.
- Market pull 4/5
- Logistics giants like DHL face immense regulatory pressure to decarbonize, and the ability to reduce vehicle purchase costs via battery downsizing is a high-value incentive.
- Novelty & moat 3/5
- While the underlying physics and economics are known, the synthesis into a commercial decision-tool for fleet procurement is a novel application.
- Feasibility 5/5
- The tool is essentially a mathematical model based on existing formulas and route data, making it highly feasible to build as an MVP.
- Wedge clarity 4/5
- The specific use case of 'battery sizing optimization for ERS-compatible fleets' provides a sharp entry point for procurement officers.
- Simplicity / focus 5/5
- The product is a single, focused calculator with a clear input-output loop, avoiding the trap of becoming a generic 'logistics platform'.
Scored by AI against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity). A prior estimate to compare ideas before real-world signal arrives.
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Business analysis
The PESTEL analysis reveals a strong strategic alignment with EU and German climate mandates and a clear economic incentive via battery downsizing. However, the tool's success is heavily dependent on the physical rollout speed of ERS infrastructure and the resolution of complex cross-border legal standards.
Political2
Economic3
Social2
Technological2
Environmental2
Legal2
The viability of ERS depends heavily on government legislation, climate targets, and the rollout of public infrastructure. · Generated 2026-08-08 by cavi/gemma4-31b-it-awq-4bit-32kAI-generatedFull PESTEL Analysis →
Who benefits
- DHLcompany
As a global logistics leader with heavy German operations, they need precise tools to meet corporate sustainability targets and government mandates.
- DB Cargocompany
They operate integrated transport networks and can use the calculator to optimize the modal shift between rail and electrified road transport.
The ministry can use this tool to prioritize which highway stretches to electrify based on the highest potential for GHG reduction.
- Deutsche Bahncompany
They can use this tool to demonstrate the value proposition of intermodal shifts and electrified road corridors to their corporate clients.
Research it builds on
- Economic Analysis of the Dynamic Charging Electric VehicleSeungmin Jeong, Young Jae Jang, Dongsuk Kum · 2015 · 370 citationsAll ideas from this paper →
- Can product service systems support electric vehicle adoption?Axel Ensslen, Till Gnann, Patrick Jochem et al. · 2018 · 37 citationsAll ideas from this paper →
- Benefits of an Electric Road System for Battery Electric VehiclesWasim Shoman, Sten Karlsson, Sonia Yeh · 2022 · 29 citationsAll ideas from this paper →
- Impact of an eHighway on the directly emitted greenhouse gases by road freight transportFerdinand Schöpp, Özgür Öztürk, Jürgen Wilke et al. · 2024 · 5 citationsAll ideas from this paper →
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