A Method for Estimating the Requirements for Hybrid Electric Powertrains through Analyzing the Vehicle Trajectory Based on GPS and Accelerometer Readings
DOI:
https://doi.org/10.24160/1993-6982-2018-3-73-79Keywords:
powertrain optimization, mechanical model, hybrid electric vehicles, GPS trackingAbstract
A method for estimating the requirements for hybrid electric powertrains is presented. Typically, the efficiency of a vehicle is estimated by applying standard driving cycles developed for certain conditions. However, these cycles are often criticized for the suggested speed profile, because the accelerations specified in them differ considerably from the real behavior of a vehicle controlled by a driver. Thus, the use of standard driving cycles does not allow a powertrain to be optimized in a correct way because they do not correspond to the real vehicle motion trajectory. As a result, there is a discrepancy between the real fuel consumption / charge and the declared one. For the powertrain to be effectively optimized, the exact vehicle motion cyclogram should be taken into account at the design stage, which involves the need of obtaining accurate data on the motion trajectory. The proposed method, which is based on analyzing the vehicle’s GPS tracking data and the accelerometer data, yields data on the tangential and normal acceleration, on the road profile slope angle, and on the vehicle instantaneous power over its entire route. The method uses an algorithm that eliminates the accumulation error that occurs in integrating the accelerometer data by using the interpolated GPS trajectory. A vehicle mechanical model intended for estimating the necessary traction force and power on the motor shaft has been developed. The data obtained using the described method open the possibility to model and optimize the parameters of hybrid and purely electric powertrains.
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Для цитирования: Чан Суан Чунг, Кулик Е.С., Анучин А.С. Метод оценки требований к гибридным электрическим трансмиссиям на основе анализа траекторий движения транспортного средства с использованием данных GPS и акселерометра // Вестник МЭИ. 2018. № 3. С. 73—79. DOI: 10.24160/1993-6982-2018-3-73-79.
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For citation: Xuan Trung Tran, Kulik E.S., Anuchin A.S. A Method for Estimating the Requirements for Hybrid Electric Powertrains through Analyzing the Vehicle Trajectory Based on GPS and Accelerometer Readings. MPEI Vestnik. 2018;3:73—79. (in Russian). DOI: 10.24160/1993-6982-2018-3-73-79.
