Model-Based Optimization of a Plug-In Hybrid Electric Powertrain with Multimode Transmission

Plug-in hybrid electric vehicles are developed in order to reduce the fuel consumption and the emission of carbon dioxide. Besides the series, parallel and power split configurations are commonly used for conventional hybrid electric vehicles, and multimode transmissions are used for plug-in hybrid electric vehicles, which are able to switch between different modes like parallel or series operation of the combustion engine and electric motor. Several concepts have already been discussed and presented. These concepts comprise novel structures and multi-speed operation for the combustion engine and the electric motor, respectively. For improving the fuel and energy consumption, model-based optimizations of multimode transmissions are performed. In the first step of the optimization, the optimal number of gears and transmission ratios, as well as the corresponding fuel and energy savings, are estimated. Based on these results, a new multimode transmission concept with two-speed transmissions for the combustion engine and the electric motor has been developed. The knowledge of the concrete concept enables the further optimizations of the transmission ratios and the transmission control. In order to prove the benefit of the new and optimized transmission concept, powertrain simulations have been carried out. The new powertrain concept is compared to a powertrain concept with single-speed transmissions for the internal combustion engine (ICE) and electric motor operation. The new transmission concept enables a significant improvement of the fuel consumption.

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Power Flow Control in Hybrid Electric Vehicles

ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 2 ◽

10.1115/dscc2011-6062 ◽

2011 ◽

Cited By ~ 1

Author(s):

Guillermo Becerra ◽

Jose´ Luis Mendoza-Soto ◽

Luis Alvarez-Icaza

Keyword(s):

Flow Control ◽

Fuel Consumption ◽

Electric Vehicles ◽

Power Flow ◽

Hybrid Electric Vehicles ◽

Optimization Problems ◽

Combustion Engine ◽

Computational Cost ◽

Power Flow Control ◽

Hybrid Electric

In this paper a new strategy for controlling the power flow in hybrid electric vehicles is described. The strategy focuses in the planetary gear system where kinematic and dynamic constraints must be satisfied. The aim is to satisfy driver demands and to reduce fuel consumption. The resultant power flow control is continuous and uses the internal combustion engine with the maximum possible efficiency. The strategy is not optimal, although it is inspired by the solution to most optimization problems. The main advantages are that the computational cost is low, when compared to optimization based approaches, and that it is easy to tune. The strategy is tested with simulations using a mathematical model of a power train of a hybrid diesel-electric bus subjected to the power demands of representative urban area driving cycles. Simulation results indicate that the strategy achieves small speed tracking errors and attains good fuel consumption reduction levels.

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Efficient control strategy for reducing fuel consumption in parallel hybrid electric vehicles, based on engine and electric motor efficient operating points

2009 IEEE Vehicle Power and Propulsion Conference ◽

10.1109/vppc.2009.5289634 ◽

2009 ◽

Cited By ~ 1

Author(s):

A.H. Eghbali ◽

B. Asaei

Keyword(s):

Fuel Consumption ◽

Electric Vehicles ◽

Control Strategy ◽

Electric Motor ◽

Hybrid Electric Vehicles ◽

Parallel Hybrid ◽

Efficient Control ◽

Hybrid Electric ◽

Operating Points

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Optimal Energy Management for Hybrid Electric Vehicles Based on Dynamic Programming and Receding Horizon

Energies ◽

10.3390/en14123502 ◽

2021 ◽

Vol 14 (12) ◽

pp. 3502

Author(s):

Pierpaolo Polverino ◽

Ivan Arsie ◽

Cesare Pianese

Keyword(s):

Dynamic Programming ◽

Fuel Consumption ◽

Energy Management ◽

Electric Vehicles ◽

Hybrid Electric Vehicles ◽

Combustion Engine ◽

Driver Assistance Systems ◽

Receding Horizon ◽

Simulated Environment ◽

Hybrid Electric

Fuel consumption and emissions in parallel hybrid electric vehicles (HEVs) are directly linked to the way the load request to the wheels is managed between the internal combustion engine and the electric motor powered by the battery. A significant reduction in both consumption and emissions can be achieved by optimally controlling the power split on an entire driving mission (full horizon—FH). However, the entire driving path is often not predictable in real applications, hindering the fulfillment of the advantages gained through such an approach. An improvement can be achieved by exploiting more information available onboard, such as those derived from Advanced Driver Assistance Systems (ADAS) and vehicle connectivity (V2X). With this aim, the present work presents the design and verification, in a simulated environment, of an optimized controller for HEVs energy management, based on dynamic programming (DP) and receding horizon (RH) approaches. The control algorithm entails the partial knowledge of the driving mission, and its performance is assessed by evaluating fuel consumption related to a Worldwide harmonized Light vehicles Test Cycle (WLTC) under different control features (i.e., horizon length and update distance). The obtained results show a fuel consumption reduction comparable to that of the FH, with maximum drift from optimal consumption of less than 10%.

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