首页> 外文会议>ASME international mechanical engineering congress;IMECE'03 >DYNAMIC MODELING OF A HYBRID ELECTRIC DRIVETRAIN FOR FUEL ECONOMY, PERFORMANCE AND DRIVEABILITY EVALUATIONS
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DYNAMIC MODELING OF A HYBRID ELECTRIC DRIVETRAIN FOR FUEL ECONOMY, PERFORMANCE AND DRIVEABILITY EVALUATIONS

机译:混合动力传动系统的动态建模,用于燃油经济性,性能和驾驶性能评估

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Both automakers and customers keep on pursuing better fuel economy, performance and driveability. A "mild" hybrid drivetrain is of great interest due to its potential capability on improving these targets. This drivetrain contains a spark ignition (SI) engine, an integrated starter/alternator (ISA), a torque converter (TC), a continuously variable transmission (CVT), a final drive (FD), a driveshaft, a brake-by-wire (BBW) system and wheels. While the challenge is to model and to develop an optimal control algorithm for this hybrid electric vehicle (HEV), this paper will focus only on the modeling aspect. Model-based control design and the nature of human perceptible driveability issues require low-frequency dynamic models. Therefore, a nonlinear control-oriented model which is sufficiently accurate but not excessively complicated is proposed here. Simulation results demonstrate that this model is effective to capture the main behaviors of vehicle dynamics and to evaluate fuel economy, performance and driveability objectively.
机译:汽车制造商和客户都在不断追求更好的燃油经济性,性能和驾驶性能。 “轻度”混合动力传动系统因其改善这些目标的潜在能力而备受关注。该传动系统包含火花点火(SI)发动机,集成的起动机/交流发电机(ISA),变矩器(TC),无级变速器(CVT),主减速器(FD),驱动轴,线(BBW)系统和车轮。尽管面临的挑战是为该混合动力电动汽车(HEV)建模和开发最佳控制算法,但本文仅关注建模方面。基于模型的控制设计和人类可感知的驾驶性能问题的性质需要低频动态模型。因此,在此提出了一种非线性控制导向模型,该模型应足够准确,但又不会过于复杂。仿真结果表明,该模型可以有效地捕捉车辆动力学的主要行为,并客观地评估燃油经济性,性能和驾驶性能。

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