A Connected Controls and Optimization System for Vehicle Dynamics and Powertrain Operation on a Light-Duty Plug-In Multi-Mode Hybrid Electric Vehicle

Author(s):  
Joseph Oncken ◽  
Joshua Orlando ◽  
Pradeep K. Bhat ◽  
Brandon Narodzonek ◽  
Christopher Morgan ◽  
...  
Author(s):  
Yiran Zhang ◽  
Han Zhao ◽  
Kang Huang ◽  
Mingming Qiu ◽  
Lizhen Geng

This study provides an optimization methodology in powertrain configurations and energy management strategy for a multi-mode plug-in hybrid electric vehicle. The challenge in this study is that the energy management strategy is highly intertwined with the powertrain configurations; the problem-specific complexity of this powertrain makes it even more difficult. Based on the analysis of the powertrain architecture, a simulation model is developed. Two self-adaptive solutions, a fuzzy PID driver and an adaptive shifting schedule are established to accommodate the powertrain parameter variations during the particle swarm optimization process. In order to obtain optimal and applicable results of both the powertrain and the energy management strategy configurations, a two-layer optimization controller is proposed. In the first layer, sub-optimal results are obtained by ACOR, additionally, the second layer is designed to final confirm both mode changes and gear shifting. At last, two possible applications—modifications to the shifting schedule and the energy management strategy, as well as developing a neuro network controller utilizing the optimal results—are analyzed. The results suggest that the hybrid optimization presented in this paper provides a solution to squeeze the potential of a plug-in hybrid electric vehicle while maintaining its practicability.


2017 ◽  
Vol 204 ◽  
pp. 476-488 ◽  
Author(s):  
Weichao Zhuang ◽  
Xiaowu Zhang ◽  
Daofei Li ◽  
Liangmo Wang ◽  
Guodong Yin

Author(s):  
Abhinandan Raut ◽  
Suryaji Phalke ◽  
Diane Peters

Abstract Fuel economy and emission standards for internal combustion engine (ICE) vehicles lead to emergence of hybrid powertrain mechanisms. Hybrid powertrains can enable significant fuel economy improvements without sacrificing vehicle performance or utility. This requires optimization of engine operation, regenerative braking, and use of a wide range of possible combinations of engine and battery usage. The multi-mode hybrid powertrain in this paper combines many options to meet a complex driving requirement while maintaining the desired fuel economy. In this paper, a systematic design methodology is used to design a full-size hybrid vehicle with multiple components. This involves the modeling, simulation and development of optimal energy management strategy. This vehicle (full size car) has dual battery, dual fuel V6 engine with cylinder deactivation and bi-directional power flow in and from dual motor/generator. The design includes multiple gearboxes to connect these pieces. The vehicle model allows many degrees of freedom including various modes of operation depending upon the combination of degree of driver involvement, vehicle power requirement and optimized fuel economy resulting in automatic switching between modes. This model is tested for different Environmental Protection Agency (EPA) driving cycles. By integrating all components of this hybrid electric vehicle (HEV) and the highly coordinated energy management control system that performs optimum blending of torque, speed, and power from multiple power sources, the benefit from this hybridization is maximized.


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