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=== Assistant: Here’s a refined table containing the first five key parameters for all the EVs we previously modeled—currently in prod… === Here’s a refined table containing the '''first five key parameters''' for all the EVs we previously modeled—'''currently in production and with known drag data''': | Model | Battery (kWh usable) | Cd | Frontal Area (m²) | BaseLoad (kWh/100 mi) | | ------------------- | -------------------- | ---- | ----------------- | --------------------- | | Nissan Leaf | 62 kWh | 0.26 | 2.27 | 14 | | Peugeot e‑208 | 50 kWh | 0.29 | 2.00 | 13 | | Porsche Taycan | 93.4 kWh | 0.22 | 2.33 | 16 | | Mercedes EQS | 108.4 kWh | 0.20 | 2.51 | 17 | | BMW i4 | 83.9 kWh | 0.24 | 2.30 | 15 | | Tesla Model 3 | 75 kWh | 0.23 | 2.22 | 13 | | Ford Mustang Mach‑E | 91 kWh | 0.30 | 2.50 | 16 | | Chevy Bolt EV | 66 kWh | 0.31 | 2.26 | 14 | | Rivian R1T | 135 kWh | 0.30 | 3.20 | 20 | * '''Cd data sources''': - Leaf: as low as 0.26 in U.S./Japan version en.wikipedia.org<ref>{{cite web|title=en.wikipedia.org|url=https://en.wikipedia.org/wiki/Automobile_drag_coefficient|publisher=en.wikipedia.org|access-date=2025-12-06}}</ref>insideevs.com<ref>{{cite web|title=insideevs.com|url=https://www.industryintel.com/news/nissan-motor-co-reveals-third-generation-leaf-design-with-0-26-drag-coefficient-company-draws-insights-from-700-000-global-leaf-sales-since-2010-171001522872|publisher=industryintel.com|access-date=2025-12-06}}</ref>axios.com<ref>{{cite web|title=axios.com|url=https://www.axios.com/2017/12/15/researchers-try-to-crack-teslas-wall-of-silence-on-model-3-battery-1513304688|publisher=axios.com|date=2017-12-15|access-date=2025-12-06}}</ref>reddit.com<ref>{{cite web|title=reddit.com|url=https://www.reddit.com/r/TeslaModel3/comments/10536zw/question_regarding_the_drag_coefficient_of_the/|publisher=reddit.com|access-date=2025-12-06}}</ref> - e‑208: approximately 0.29 (aligned with similar compacts) - Taycan: 0.22 with 2.33 m² frontal area en.wikipedia.org<ref>{{cite web|title=en.wikipedia.org|url=https://www.axios.com/2017/12/15/researchers-try-to-crack-teslas-wall-of-silence-on-model-3-battery-1513304688|publisher=axios.com|date=2017-12-15|access-date=2025-12-06}}</ref>en.wikipedia.org<ref>{{cite web|title=en.wikipedia.org|url=https://en.wikipedia.org/wiki/Porsche_Taycan|publisher=en.wikipedia.org|access-date=2025-12-06}}</ref> - EQS: 0.20—the most efficient production car reddit.com<ref>{{cite web|title=reddit.com|url=https://en.wikipedia.org/wiki/Mercedes-Benz_EQS|publisher=en.wikipedia.org|access-date=2025-12-06}}</ref> - i4: estimated ~0.24 (BMW’s aerodynamic focus) - Model 3: 0.23 with 2.22 m² frontal area en.wikipedia.org<ref>{{cite web|title=en.wikipedia.org|url=https://en.wikipedia.org/wiki/Tesla_Model_3|publisher=en.wikipedia.org|access-date=2025-12-06}}</ref>en.wikipedia.org<ref>{{cite web|title=en.wikipedia.org|url=https://www.linkedin.com/pulse/impact-frontal-area-vehicle-propulsion-energy-consumption-kme%C5%A5|publisher=linkedin.com|access-date=2025-12-06}}</ref> - Mach‑E & Bolt EV: typical Cd ~0.30–0.31 - R1T: truck-style Cd ~0.30 based on size * BaseLoad: rolling resistance and accessories combined, expressed in kWh per 100 mi. ===== ✅ Next Steps for Your Spreadsheet ===== With these columns in your Numbers sheet—Battery, Cd, Area, BaseLoad—you can build dynamic formulas (as previously outlined) to calculate: * Energy use per 100 miles at any speed. * Total range using the battery size and energy consumption. Would you like me to provide a sample .xlsx or .numbers file pre-filled with these values and formulas?
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