Coordinating Control Oriented Research on Algorithm of Engine Torque Estimation for Parallel Hybrid Electric Powertrain System

2004 ◽  
Author(s):  
Tong Yi ◽  
Li Jianqiu ◽  
Zhang Junzhi ◽  
Yang Fuyuan ◽  
Zhang Kexun ◽  
...  
Keyword(s):  
Engine Torque ◽  
Powertrain System ◽  
Torque Estimation ◽  
Parallel Hybrid ◽  
Coordinating Control ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain ◽  
Oriented Research

Research on Dynamic Torque Control Strategy for Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 228-229 ◽  
pp. 951-956 ◽  
Author(s):  
Yun Bing Yan ◽  
Fu Wu Yan ◽  
Chang Qing Du
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Dynamic Control ◽  
Torque Control ◽  
Engine Torque ◽  
Parallel Hybrid Electric Vehicle ◽  
Torque Control Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric

It is necessary for Parallel Hybrid Electric Vehicle (PHEV) to distribute energy between engine and motor and to control state-switch during work. Aimed at keeping the total torque unchanging under state-switch, the dynamic torque control algorithm is put forward, which can be expressed as motor torque compensation for engine after torque pre-distribution, engine speed regulation and dynamic engine torque estimation. Taking Matlab as the platform, the vehicle control simulation model is built, based on which the fundamental control algorithm is verified by simulation testing. The results demonstrate that the dynamic control algorithm can effectively dampen torque fluctuations and ensures power transfer smoothly under various state-switches.

scholarly journals Efficiency Improvement of a Series–Parallel Hybrid Electric Powertrain by Topology Modification

2019 ◽  
Vol 68 (12) ◽  
pp. 11523-11531 ◽  
Author(s):  
Bilal Kabalan ◽  
Emmanuel Vinot ◽  
Cheng Yuan ◽  
Rochdi Trigui ◽  
Clement Dumand ◽  
...  
Keyword(s):  
Efficiency Improvement ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain ◽  
Topology Modification

Modeling, control, and performance of a novel architecture of hybrid electric powertrain system

2016 ◽  
Vol 178 ◽  
pp. 454-467 ◽  
Author(s):  
Chenyu Yi ◽  
Bogdan I. Epureanu ◽  
Sung-Kwon Hong ◽  
Tony Ge ◽  
Xiao Guang Yang
Keyword(s):  
Powertrain System ◽  
Hybrid Electric ◽  
And Performance ◽  
Hybrid Electric Powertrain

Integrated System Design and Control Optimization of Hybrid Electric Propulsion System Using a Bi-Level, Nested Approach

2019 ◽  
Author(s):  
Li Chen ◽  
Huachao Dong ◽  
Zuomin Dong
Keyword(s):  
Electric Propulsion ◽  
Fuel Efficiency ◽  
Ghg Emissions ◽  
Propulsion System ◽  
Hybrid Powertrain ◽  
Electric Propulsion System ◽  
Powertrain System ◽  
Marine Propulsion ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain

Abstract Hybrid electric powertrain systems present as effective alternatives to traditional vehicle and marine propulsion means with improved fuel efficiency, as well as reduced greenhouse gas (GHG) emissions and air pollutants. In this study, a new integrated, model-based design and optimization method for hybrid electric propulsion system of a marine vessel (harbor tugboat) has been introduced. The sizes of key hybrid powertrain components, especially the Li-ion battery energy storage system (ESS), which can greatly affect the ship’s life-cycle cost (LCC), have been optimized using the fuel efficiency, emission and lifecycle cost model of the hybrid powertrain system. Moreover, the control strategies for the hybrid system, which is essential for achieving the minimum fuel consumption and extending battery life, are optimized. For a given powertrain architecture, the optimal design of a hybrid marine propulsion system involves two critical aspects: the optimal sizing of key powertrain components, and the optimal power control and energy management. In this work, a bi-level, nested optimization framework was proposed to address these two intricate problems jointly. The upper level optimization aims at component size optimization, while the lower level optimization carries out optimal operation control through dynamic programming (DP) to achieve the globally minimum fuel consumption and battery degradation for a given vessel load profile. The optimized Latin hypercube sampling (OLHS), Kriging and the widely used Expected Improvement (EI) online sampling criterion are used to carry out “small data” driven global optimization to solve this nested optimization problem. The obtained results showed significant reduction of the vessel LCC with the optimized hybrid electric powertrain system design and controls. Reduced engine size and operation time, as well as improved operation efficiency of the hybrid system also greatly decreased the GHG emissions compared to traditional mechanical propulsion.

Engine torque command handling for a series hybrid electric bus

2016 ◽  
Vol 231 (5) ◽  
pp. 638-652 ◽  
Author(s):  
Minjae Kim
Keyword(s):  
Electric Vehicles ◽  
Fuel Economy ◽  
Hybrid Electric Vehicles ◽  
Energy Management Strategy ◽  
Engine Torque ◽  
Hybrid Electric Bus ◽  
Electric Bus ◽  
Parallel Hybrid ◽  
Generator Unit ◽  
Hybrid Electric

The series hybrid electric vehicle makes it easier to have fully independent controls for the engine–generator unit and for the traction motors; this is not feasible in parallel hybrid electric vehicles or series–parallel hybrid electric vehicles. The existing research does not consider this feature. Therefore, a novel control method called engine torque command handling is developed in this study and is added to the optimal energy management strategy, namely dynamic programming; this makes the most of the inertia of the engine–generator unit. The hidden fuel economy improvement factor, as demonstrated by the the difference between the command and the behaviour, can then be found. As a result, a considerable improvement in the fuel economy with straightforward but powerful concepts, such as modification of the engine operating points and the on–off period, is developed in the series hybrid electric bus. The simulation is evaluated by AMEsim–Simulink co-simulation with the well-known urban bus test profiles: the Manhattan cycle, the Braunschweig cycle and the Orange County cycle. The results show the significant potential for reduction in the energy consumption without changing the components or the structure of the vehicle system. This method can be applied to any type of vehicle that allows independent engine power generation without interruption.

Sign in / Sign up

Export Citation Format

Share Document