An Electro-Mechanical Infinitely Variable Transmission for Hybrid Electric Vehicles

Author(s):  
Xiaolan Ai ◽  
Scott Anderson
2019 ◽  
Vol 9 (10) ◽  
pp. 2074 ◽  
Author(s):  
Hangyang Li ◽  
Yunshan Zhou ◽  
Huanjian Xiong ◽  
Bing Fu ◽  
Zhiliang Huang

The energy management strategy has a great influence on the fuel economy of hybrid electric vehicles, and the equivalent consumption minimization strategy (ECMS) has proved to be a useful tool for the real-time optimal control of Hybrid Electric Vehicles (HEVs). However, the adaptation of the equivalent factor poses a major challenge in order to obtain optimal fuel consumption as well as robustness to varying driving cycles. In this paper, an adaptive-ECMS based on driving pattern recognition (DPR) is established for hybrid electric vehicles with continuously variable transmission. The learning vector quantization (LVQ) neural network model was adopted for the on-line DPR algorithm. The influence of the battery state of charge (SOC) on the optimal equivalent factor was studied under different driving patterns. On this basis, a method of adaptation of the equivalent factor was proposed by considering the type of driving pattern and the battery SOC. Besides that, in order to enhance drivability, penalty terms were introduced to constrain frequent engine on/off events and large variations of the continuously variable transmission (CVT) speed ratio. Simulation results showed that the proposed method efficiently improved the equivalent fuel consumption with charge-sustaining operations and also took into account driving comfort.


Energies ◽  
2018 ◽  
Vol 11 (5) ◽  
pp. 1118 ◽  
Author(s):  
Qiwei Xu ◽  
Jing Sun ◽  
Wenjuan Wang ◽  
Yunqi Mao ◽  
Shumei Cui

Author(s):  
Austin B. Randall ◽  
Robert H. Todd

With gas prices and pollution on the rise, the production of electric and hybrid-electric vehicles has been a focus of all major automobile manufacturers. The further advancement of this technology must not only continue to focus on fuel-efficient, low-emission vehicles, but also decrease their cost to make them more available and enticing to the general public. Results from this research include one potential solution to reduce the cost of electric and hybrid-electric vehicles. An exploration of the functionality of a Planetary Differential (PD) has shown that it can simplify expensive and complex electronic control systems for electric and hybrid-electric vehicles. This research is a furtherance of work performed previously and its main purpose is to discover a more efficient solution than what was already tested under similar circumstances. Recommendations for future work and implementation of the PD in electric and hybrid-electric vehicles are presented herein.


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