Dynamical model of HEV with two planetary gear units and its application to optimization of energy consumption

Abstract

A hybrid electric vehicle (HEV) that uses multiple planetary gear units with clutches as transmission system is advanced for the powertrain performance, because the operation of the clutches can lead to distinct operating modes, and the induced possible operating modes provide additional freedom to deal with the energy optimal control problem. Under each operating mode, the powertrain mechanical system has specific dynamical behavior. In order to develop model-based optimization schemes that can tackle the transient operations of the vehicle, exact dynamical modeling is investigated focusing on a hybrid powertrain system that uses a two-planetary-gear transmission box with two clutches. It shows that according to the states of the two clutches, the powertrain system has the power-split mode, parallel mode and the electric vehicle (EV) mode. Finally, an analysis for the calculation of the desired driving torque and its application to the dynamic programming (DP)-based energy management indicate the significance of the developed exact dynamical models. Citation Zhang J Y, Inuzuka S, Kojima T, et al. Dynamical model of HEV with two planetary gear units and its application to optimization of energy consumption. Sci China Inf Sci, 2019, 62(12): 222203, https://doi.org/10.

MPGA-based-ECMS for energy optimization of a hybrid electric city bus with dual planetary gear

“…However, as it provides optimal results, it is often used as the benchmark for evaluating other control strategies and for extracting some vehicle control rules to improve other methods. [13][14][15] The common optimization algorithms include dynamic programming (DP), 16,17 Pontryagin's minimum principle (PMP), etc. 18 To address the above-mentioned limitation of global optimization strategy, the approximate optimal EMS is applied.…”

Optimal comfortability control of hybrid electric powertrains in acceleration mode

“…Among them, dynamic programming (DP) is often used as a benchmark by providing a globally optimal solution offline. Several studies have used DP for more extensive applications on HEVs [4,5]. However, DP cannot be applied in practice because a predefined driving route is required.…”

Investigating long-term vehicle speed prediction based on GA-BP algorithms and the road-traffic environment

“…Dear editor, Effective and accurate long-term speed prediction is crucial for intelligent transportation and automobile intelligent energy management systems of intelligent connected vehicles. These predictions have important research value and broad application prospects including widespread use in improving traffic efficiency and safety, fuel economy, remaining driving range estimation [1], and electric vehicle energy management [2,3]. A novel method for long-term speed prediction that aims to build a mapping model between the driver-vehicle-roadtraffic characteristic parameters and vehicle speed is proposed in this study.…”