Ecological Cruise Control of a Plug-in Hybrid Electric Vehicle: A comparison of different GMRES-based Nonlinear Model Predictive Controls

2017 ◽  
Author(s):  
Sadegh Tajeddin ◽  
Nasser L. Azad
Keyword(s):  
Electric Vehicle ◽  
Nonlinear Model ◽  
Hybrid Electric Vehicle ◽  
Cruise Control ◽  
Hybrid Electric

scholarly journals Real-Time Co-optimization of Vehicle Route and Speed Using Generic Algorithm for Improved Fuel Economy

2019 ◽  
Vol 141 (03) ◽  
pp. S08-S15
Author(s):  
Guoming G. Zhu ◽  
Chengsheng Miao
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Autonomous Vehicles ◽  
Hybrid Electric Vehicle ◽  
High Efficiency ◽  
Combustion Engine ◽  
Cruise Control ◽  
Vehicle Performance ◽  
Hybrid Electric

Making future vehicles intelligent with improved fuel economy and satisfactory emissions are the main drivers for current vehicle research and development. The connected and autonomous vehicles still need years or decades to be widely used in practice. However, some advanced technologies have been developed and deployed for the conventional vehicles to improve the vehicle performance and safety, such as adaptive cruise control (ACC), automatic parking, automatic lane keeping, active safety, super cruise, and so on. On the other hand, the vehicle propulsion system technologies, such as clean and high efficiency combustion, hybrid electric vehicle (HEV), and electric vehicle, are continuously advancing to improve fuel economy with satisfactory emissions for traditional internal combustion engine powered and hybrid electric vehicles or to increase cruise range for electric vehicles.

scholarly journals Nonlinear Model Predictive Control of a Power-Split Hybrid Electric Vehicle With Consideration of Battery Aging

2019 ◽  
Vol 141 (8) ◽  
Author(s):  
Ming Cheng ◽  
Bo Chen
Keyword(s):  
Model Predictive Control ◽  
Electric Vehicle ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Nonlinear Model Predictive Control ◽  
Battery Model ◽  
Power Split ◽  
Hybrid Electric

In this paper, the nonlinear model predictive control (NMPC) for the energy management of a power-split hybrid electric vehicle (HEV) has been studied to improve battery aging while maintaining the fuel economy at a reasonable level. A first principle battery model is built with simulation capacity of the battery aging features. The built battery model is integrated with an HEV model from autonomie software to investigate the vehicle and battery performance under control strategies. The NMPC has simplified battery models to predict the state of charge (SOC) change, the fuel consumption of the engine, and the battery aging index over the predicted horizon. The purpose of the NMPC is to find an optimized control sequence over the prediction horizon, which minimizes the designed cost function. The proposed control strategy is compared with that of an NMPC, which does not consider the battery aging. It is found that, with the optimized weighting factor selection, the NMPC with the consideration of battery aging has better battery aging performance and similar fuel economy performance comparing with the NMPC without the consideration of battery aging.

Ecological Adaptive Cruise Control of Plug-in Hybrid Electric Vehicle with Connected Infrastructure and On-Road Experiments

2021 ◽  
Author(s):  
Sangjae Bae ◽  
Yeojun Kim ◽  
Yongkeun (Eric) Choi ◽  
Jacopo Guanetti ◽  
Preet Gill ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Mathematical Formulation ◽  
Research Problem ◽  
Practical Implementation ◽  
Mathematical Framework ◽  
Cruise Control ◽  
Energy Efficiency Improvement ◽  
Hybrid Electric

Abstract This paper examines both mathematical formulation and practical implementation of an ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human errors are typical sources of accidents in urban driving, which can be remedied by rigorous control theories. Designing an ECO-ACC is, therefore, a classical research problem to improve safety and energy efficiency. We add two main contributions to the literature. First, we propose a mathematical framework of an online ECO-ACC for Plug-in Hybrid Electric Vehicle (PHEV). Second, we demonstrate ECO-ACC in a real-world which includes other human drivers and uncertain traffic signals on a 2.6 [km] length of the corridor with 8 signalized intersections in Southern California, USA. The demonstration results show, on average, 30.98% of energy efficiency improvement and 8.51% additional travel time.

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