β—€ Back to Note

Tony's Intertwingled Memex β€’ Reference Manual

Electric Powertrain Torque-Speed Mapping (Electrical & Mechanical Engineering) Solution

Formulas & Definitions

Problem Overview

We analyze the mechanical power curve of an electric vehicle traction motor:

P(Ο‰)=40Ο‰β‹…eβˆ’0.05Ο‰β‹…(Ο‰2+16)βˆ’1/2P(\omega) = 40 \omega \cdot e^{-0.05\omega} \cdot \left(\omega^2 + 16\right)^{-1/2}P(Ο‰)=40Ο‰β‹…eβˆ’0.05Ο‰β‹…(Ο‰2+16)βˆ’1/2
using Logarithmic Differentiation to calculate the marginal power derivative dPdΟ‰\frac{dP}{d\omega}dΟ‰dP​ and the fractional power sensitivity 1PdPdΟ‰\frac{1}{P}\frac{dP}{d\omega}P1​dΟ‰dP​ at Ο‰=4.0Β (400Β rad/s)\omega = 4.0\text{ (400 rad/s)}Ο‰=4.0Β (400Β rad/s).


Step-by-Step Mathematical Solution

Step 1: Apply Natural Logarithms to Decompose Products and Powers

The governing strategy is Logarithmic Differentiation:

ln⁑[uβ‹…vβ‹…wk]=ln⁑(u)+ln⁑(v)+kln⁑(w)\ln[u \cdot v \cdot w^k] = \ln(u) + \ln(v) + k\ln(w)ln[uβ‹…vβ‹…wk]=ln(u)+ln(v)+kln(w)
ddx[ln⁑y]=1ydydx\frac{d}{dx}[\ln y] = \frac{1}{y}\frac{dy}{dx}dxd​[lny]=y1​dxdy​
(This technique is defined in Logarithmic Differentiation.)

Take the natural logarithm of both sides of P(Ο‰)P(\omega)P(Ο‰):

ln⁑P(Ο‰)=ln⁑[40Ο‰β‹…eβˆ’0.05Ο‰β‹…(Ο‰2+16)βˆ’1/2]\ln P(\omega) = \ln\left[40 \omega \cdot e^{-0.05\omega} \cdot \left(\omega^2 + 16\right)^{-1/2}\right]lnP(Ο‰)=ln[40Ο‰β‹…eβˆ’0.05Ο‰β‹…(Ο‰2+16)βˆ’1/2]
Expand using logarithm properties:
ln⁑P(Ο‰)=ln⁑(40)+ln⁑(Ο‰)+ln⁑(eβˆ’0.05Ο‰)+ln⁑[(Ο‰2+16)βˆ’1/2]\ln P(\omega) = \ln(40) + \ln(\omega) + \ln\left(e^{-0.05\omega}\right) + \ln\left[\left(\omega^2 + 16\right)^{-1/2}\right]lnP(Ο‰)=ln(40)+ln(Ο‰)+ln(eβˆ’0.05Ο‰)+ln[(Ο‰2+16)βˆ’1/2]
ln⁑P(Ο‰)=ln⁑(40)+ln⁑(Ο‰)βˆ’0.05Ο‰βˆ’12ln⁑(Ο‰2+16)\ln P(\omega) = \ln(40) + \ln(\omega) - 0.05\omega - \frac{1}{2}\ln\left(\omega^2 + 16\right)lnP(Ο‰)=ln(40)+ln(Ο‰)βˆ’0.05Ο‰βˆ’21​ln(Ο‰2+16)

Step 2: Differentiate Implicitly with Respect to ω\omegaω

Differentiate both sides term-by-term with respect to ω\omegaω:

ddΟ‰[ln⁑P(Ο‰)]=ddΟ‰[ln⁑(40)+ln⁑(Ο‰)βˆ’0.05Ο‰βˆ’12ln⁑(Ο‰2+16)]\frac{d}{d\omega}[\ln P(\omega)] = \frac{d}{d\omega}\left[\ln(40) + \ln(\omega) - 0.05\omega - \frac{1}{2}\ln\left(\omega^2 + 16\right)\right]dΟ‰d​[lnP(Ο‰)]=dΟ‰d​[ln(40)+ln(Ο‰)βˆ’0.05Ο‰βˆ’21​ln(Ο‰2+16)]
1PdPdΟ‰=0+1Ο‰βˆ’0.05βˆ’12(2ωω2+16)\frac{1}{P}\frac{dP}{d\omega} = 0 + \frac{1}{\omega} - 0.05 - \frac{1}{2}\left(\frac{2\omega}{\omega^2 + 16}\right)P1​dΟ‰dP​=0+Ο‰1β€‹βˆ’0.05βˆ’21​(Ο‰2+162ω​)
1PdPdΟ‰=1Ο‰βˆ’0.05βˆ’Ο‰Ο‰2+16\frac{1}{P}\frac{dP}{d\omega} = \frac{1}{\omega} - 0.05 - \frac{\omega}{\omega^2 + 16}P1​dΟ‰dP​=Ο‰1β€‹βˆ’0.05βˆ’Ο‰2+16ω​

Step 3: Evaluate Fractional Sensitivity at Ο‰=4.0\omega = 4.0Ο‰=4.0

Substitute Ο‰=4.0\omega = 4.0Ο‰=4.0 directly into the fractional sensitivity formula:

1PdPdΟ‰βˆ£Ο‰=4=14βˆ’0.05βˆ’442+16\left.\frac{1}{P}\frac{dP}{d\omega}\right|_{\omega = 4} = \frac{1}{4} - 0.05 - \frac{4}{4^2 + 16}P1​dΟ‰dP​​ω=4​=41β€‹βˆ’0.05βˆ’42+164​
1PdPdΟ‰βˆ£Ο‰=4=0.25βˆ’0.05βˆ’416+16=0.20βˆ’432=0.20βˆ’0.125=+0.075\left.\frac{1}{P}\frac{dP}{d\omega}\right|_{\omega = 4} = 0.25 - 0.05 - \frac{4}{16 + 16} = 0.20 - \frac{4}{32} = 0.20 - 0.125 = +0.075P1​dΟ‰dP​​ω=4​=0.25βˆ’0.05βˆ’16+164​=0.20βˆ’324​=0.20βˆ’0.125=+0.075

Step 4: Compute the Absolute Marginal Power Rate dPdΟ‰\frac{dP}{d\omega}dΟ‰dP​

  1. Evaluate Baseline Power P(4)P(4)P(4):
    P(4)=40(4)β‹…eβˆ’0.05(4)β‹…(42+16)βˆ’1/2P(4) = 40(4) \cdot e^{-0.05(4)} \cdot \left(4^2 + 16\right)^{-1/2}P(4)=40(4)β‹…eβˆ’0.05(4)β‹…(42+16)βˆ’1/2
    P(4)=160β‹…eβˆ’0.2β‹…(32)βˆ’1/2=160β‹…eβˆ’0.232=160eβˆ’0.242=40eβˆ’0.22β‰ˆ40(0.81873)1.4142β‰ˆ23.16Β kWP(4) = 160 \cdot e^{-0.2} \cdot (32)^{-1/2} = \frac{160 \cdot e^{-0.2}}{\sqrt{32}} = \frac{160 e^{-0.2}}{4\sqrt{2}} = \frac{40 e^{-0.2}}{\sqrt{2}} \approx \frac{40(0.81873)}{1.4142} \approx 23.16\text{ kW}P(4)=160β‹…eβˆ’0.2β‹…(32)βˆ’1/2=32​160β‹…eβˆ’0.2​=42​160eβˆ’0.2​=2​40eβˆ’0.2β€‹β‰ˆ1.414240(0.81873)β€‹β‰ˆ23.16Β kW
  2. Multiply by the Fractional Sensitivity:
    dPdΟ‰βˆ£Ο‰=4=P(4)β‹…(+0.075)β‰ˆ23.16β‹…0.075β‰ˆ+1.737Β kWΒ /Β (100Β rad/s)\left.\frac{dP}{d\omega}\right|_{\omega = 4} = P(4) \cdot (+0.075) \approx 23.16 \cdot 0.075 \approx +1.737\text{ kW / (100 rad/s)}dΟ‰dP​​ω=4​=P(4)β‹…(+0.075)β‰ˆ23.16β‹…0.075β‰ˆ+1.737Β kWΒ /Β (100Β rad/s)

Engineering Conclusion

In automotive powertrain design, evaluating 1PdPdΟ‰=+0.075\frac{1}{P}\frac{dP}{d\omega} = +0.075P1​dΟ‰dP​=+0.075 reveals that at 400Β rad/s400\text{ rad/s}400Β rad/s (approx. 3820Β RPM3820\text{ RPM}3820Β RPM), the motor is operating on the rising side of its power envelope: every 1%1\%1% increase in motor angular velocity yields a 0.075%0.075\%0.075% increase in delivered wheel power.

Powertrain electronic control units (ECUs) continuously sample this logarithmic derivative. When dPdΟ‰>0\frac{dP}{d\omega} > 0dΟ‰dP​>0, the controller allows wide-open throttle acceleration. However, as rotor speed increases further, back-electromotive force (back-EMF) and rotor windage losses drive the sensitivity toward zero (dPdΟ‰=0\frac{dP}{d\omega} = 0dΟ‰dP​=0, the peak power operating point) and into negative territory (dPdΟ‰<0\frac{dP}{d\omega} < 0dΟ‰dP​<0). Detecting where dPdΟ‰\frac{dP}{d\omega}dΟ‰dP​ changes sign allows powertrain calibration engineers to schedule seamless automatic gear ratio shifts in multi-speed EV transmissions and initiate field-weakening current injection to safeguard the high-voltage battery inverter against thermal runaway.