التفاصيل البيبلوغرافية
| العنوان: |
Optimizing Torque Delivery for an Energy-Limited Electric Race Car Using Model Predictive Control. |
| المؤلفون: |
Maull, Thomas, Schommer, Adriano |
| المصدر: |
World Electric Vehicle Journal; Dec2022, Vol. 13 Issue 12, p224, 10p |
| مصطلحات موضوعية: |
MODEL car racing, ELECTRIC automobiles, TORQUE control, TORQUE, PREDICTION models |
| مستخلص: |
This paper presents a torque controller for the energy optimization of the powertrain of an electric Formula Student race car. Limited battery capacity within electric race car designs requires energy management solutions to minimize lap time while simultaneously controlling and managing the overall energy consumption to finish the race. The energy-managing torque control algorithm developed in this work optimizes the finite onboard energy from the battery pack to reduce lap time and energy consumption when energy deficits occur. The longitudinal dynamics of the vehicle were represented by a linearized first-principles model and validated against a parameterized electric Formula Student race car model in commercial lap time simulation software. A Simulink-based model predictive controller (MPC) architecture was created to balance energy use requirements with optimum lap time. This controller was tested against a hardware-limited and torque-limited system in a constant torque request and a varying torque request scenario. The controller decreased the elapsed time to complete a 150 m straight-line acceleration by 11.4 % over the torque-limited solution and 13.5 % in a 150 m Formula Student manoeuvre. [ABSTRACT FROM AUTHOR] |
|
Copyright of World Electric Vehicle Journal is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
Full Text Finder