Scheme Design and Optimal Selection for HEV Planetary Gear Coupling Mechanism

Author(s):  
Futang Zhu ◽  
Li Chen ◽  
Chengliang Yin

More and more planetary gear mechanisms are being used in Hybrid Electric Vehicle (HEV) as multi-energy coupling mechanisms because of their compact structure, high transmission efficiency and strong load bearing capacity. In order to get all the planetary gear schemes that satisfy the requirements of topological characteristics and select the optimal scheme for Hybrid Electric Vehicle Planetary Gear Coupling Mechanism (HEV-PGCM) as the references for the following analysis and structure design. Firstly, a variety of HEV-PGCM schemes with required topological characteristics are designed by applying the Creative Design Method. Secondly, according to the design requirements of planetary gear transmission and HEV power coupling mechanism, combined with Matrix Theory, the scheme evaluating indicators and method for HEV-PGCM are presented and used for scheme analysis and optimal selection. The results indicate that this method is general for common use and it can provide reference schemes for the following structure parameter design and analysis of HEV-PGCM.

Author(s):  
Pier Giuseppe Anselma ◽  
Yi Huo ◽  
Joel Roeleveld ◽  
Ali Emadi ◽  
Giovanni Belingardi

This work aims at presenting a design methodology capable of modeling, generating, and testing a large number of multimode power split hybrid electric vehicle transmission designs in a relatively short period of time. Design parameters include the planetary gear ratios, the final drive ratio, the configuration of hookups to link the hybrid powertrain components to the planetary gear sets and the locations of clutch connections between different nodes of the planetary gear sets. The system modeling approach is first presented, including formulations for each component (the vehicle and road load, the engine, the motor/generators and the battery). A rapid and automated modeling procedure is proposed for hybrid electric vehicle transmissions including multiple planetary gear sets and clutch connections. Two algorithms are subsequently presented that enable fast evaluation of fuel economy and acceleration performance of hybrid electric vehicle transmission designs, namely the enhanced Power-Weighted Efficiency Analysis for Rapid Sizing and the Rapid Efficiency-based Launching Performance Analysis algorithms. The developed design methodology is tested by first modeling and evaluating three hybrid electric vehicle designs from the state-of-art. Later, an investigation for optimal designs that can ameliorate the examined benchmarks is performed. Several millions of design options are rapidly generated and tested using the proposed procedure. The methodology is proved effective by quickly coming up with two sub-optimal designs. Fuel economy and acceleration performance are improved by 5.56% and 40.56%, respectively, compared to the corresponding best benchmarks.


2018 ◽  
Vol 152 ◽  
pp. 636-642 ◽  
Author(s):  
Menglin Li ◽  
Hongwen He ◽  
Mei Yan ◽  
Jiankun Peng

Author(s):  
Alparslan Emrah Bayrak ◽  
Yi Ren ◽  
Panos Y. Papalambros

Several hybrid-electric vehicle architectures have been commercialized to serve different categories of vehicles and driving conditions. Such architectures can be optimally controlled by switching among driving modes, namely, the power distribution schemes in their planetary gear (PG) transmissions, in order to operate the vehicle in the most efficient regions of engine and motor maps. This paper proposes a systematic way to identify the optimal architecture for a given vehicle drive cycle, rather than parametrically optimizing one or more pre-selected architectures. An automatic generator of feasible driving modes for a given number of PGs is developed. For a powertrain consisting of one engine, two motors and two PGs, this generator results in 1116 modes. A heuristic search is then proposed to find a near-optimal pair of modes for a given driving cycle and vehicle specification. In a study this process identifies a dual-mode architecture with an 8% improvement in fuel economy compared to a commercially available architecture over a standard drive cycle.


2020 ◽  
pp. 1-16
Author(s):  
Xingyue Jiang ◽  
Jianjun Hu ◽  
Hang Peng ◽  
Zhipeng Chen

Abstract Increasingly strict emission and fuel economy standards stimulates the researches on hybrid electric vehicle techniques in automobile industry and one of the most important techniques is the design of powertrain configurations. In this paper, a theoretical design methodology for hybrid electric vehicle powertrain configurations is proposed to find the configurations with excellent performance in a large pool of configurations. There are two main parts in a powertrain configuration, power/coupling devices (engine, electric machine, wheel and planetary gear set) and mechanical connections between these devices. Different connections will lead to the configurations having different performance. This paper divides all connections in configurations into three categories and a novel matrix representation method is developed to express these kinds of connections so as to reflect system dynamics and physical structure of configurations. With the support of the matrix representation method, configuration selections from large pools can automatically be completed by computer and manually calculation and comparison can be avoided, which saves much energy and time. Finally, the proposed method is vigorously verified by simulations.


2013 ◽  
Vol 584 ◽  
pp. 92-96
Author(s):  
Ai Min Du ◽  
Da Jin Xu

In 2007, a new hybrid electric vehicle was released by General Motor, which is called as Two-mode hybrid electric vehicle. The two-mode hybrid car is famous for its hybrid transmission, which contains two electric motors/generators, three planetary gear sets and four controlled clutches, and allows six different operation modes: two electrically variable transmission modes and four fixed-gear modes [. This paper analyzes the operating condition of the electric machines (Motors/generators) in each mode. And then, it presents three mode selection strategies in order to make a comparison of them.


2015 ◽  
Author(s):  
Dafeng Song ◽  
Chang Zhang ◽  
Nannan Yang ◽  
Mingli Shang ◽  
Yujun Peng

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