Discretely variable speed ratio control strategy for continuously variable transmission system considering hydraulic energy loss

Hu, Jianjun; Meng, Bo; Peng, Hang; Guo, Zihan

doi:10.1016/j.energy.2019.05.086

Cited by 12 publications

(11 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first and second strategies, meanwhile, recorded 8.16 kWh and 5.35 m/s 3 , as well as 8.69 kWh and 4.65 m/s 3 , respectively. To summarize, the work reported in [61] highlighted two very important findings. Firstly, CVT provides a continuous ratio range, hence the ratios can be discretized and optimized to suit diverse vehicle parameters, which means the same CVT can be implemented for several type of EVs for optimum driving performance and efficiency.…”

Section: Continuously Variable Transmission (Cvt)mentioning

confidence: 85%

“…Research work described in [61] explained optimization and discretization of the CVT ratios so that optimum power consumption can be realized with as minimum shifting as possible. The CVT featured an electro-hydraulic actuation system, where an electric pump was used to precisely control the required hydraulic pressure for clamping and ratio shifting (Figure 9).…”

Section: Continuously Variable Transmission (Cvt)mentioning

confidence: 99%

See 1 more Smart Citation

Review of the Methods to Optimize Power Flow in Electric Vehicle Powertrains for Efficiency and Driving Performance

et al. 2022

View full text Add to dashboard Cite

Electric vehicles (EV) are quickly gaining a foothold in global markets due to their zero tailpipe emissions and increasing practicality in terms of battery technologies. However, even though EV powertrains emit zero emissions during driving, their efficiency has not been fully optimized, particularly due the commonly used single-speed transmission. Hence, this paper provides an extensive review on the latest works carried out to optimize the power flow in EV powertrains using multispeed discrete transmission, continuously variable transmission and multi-motor configurations. The relevant literatures were shortlisted using a keyword search related to EV powertrain in the ScienceDirect and Scopus databases. The review focused on the related literatures published from 2018 onwards. The publications were reviewed in terms of the methodologies applied to optimize the powertrain for efficiency and driving performance. Next, the significant findings from these literatures were discussed and compared. Finally, based on the review, several future key research areas in EV powertrain efficiency and performance are highlighted.

show abstract

Section: Continuously Variable Transmission (Cvt)mentioning

confidence: 85%

Section: Continuously Variable Transmission (Cvt)mentioning

confidence: 99%

Review of the Methods to Optimize Power Flow in Electric Vehicle Powertrains for Efficiency and Driving Performance

et al. 2022

View full text Add to dashboard Cite

show abstract

“…All those achievements are contributing to efficiency improvement and jerk reduction. In addition to those studies, various investigations have been carried out to control this gearbox by using various controls, such as proportional-integralderivative (PID) [7], linear-quadratic regulator (LQR) [8], fuzzy control [9], backstepping control [10].…”

Section: Introductionmentioning

confidence: 99%

HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission

Taghavipour

Alipour

2021

SV-JME

View full text Add to dashboard Cite

One of the most important challenges facing automotive engineers is reducing vehicle fuel consumption and improving the drivability index. Modern hybrid electric powertrains play an important role in reducing fuel consumption. Continuously variable transmission (CVT) is an automatic transmission that can change the gear ratio seamlessly using a belt and pulleys. CVT performs with infinite gear ratios. Controlling and determining the optimal gear ratio, especially in a complex hybrid powertrain, is a major challenge. Therefore, a multi-parametric model predictive controller with real-time implementation capability is proposed that can handle the energy management task concurrently with gear shifting strategy in a parallel pre-transmission hybrid electric vehicle. The proposed controller hardware-in-the-loop (HIL) validation procedure on the high-fidelity Autonomie model shows significant improvement in fuel economy while maintaining drivability in three different driving schedules. HIL evaluation guarantees the real-time capability and the proposed controller readiness to be implemented to real-world control hardware.

show abstract

“…Moreover, GAs have the advantage of service life prediction by using large data, which plays a vital role in predicting the lifetime of a fuel cell 35 . GA has been used to optimize the discrete speed ratio, which was found to prevent energy loss and increase the energy efficiency of the system 36 . To minimize hydrogen consumption in a predefined driving cycle, an FLC of the power flow of an FCV should be presented, and GA should be used to online optimize the controller's gains 37 .…”

Section: Introductionmentioning

confidence: 99%

Optimization of fuzzy control energy management strategy for fuel cell vehicle power system using a multi‐islandgenetic algorithm

Zhao

Wang

et al. 2020

Energy Science & Engineering

View full text Add to dashboard Cite

Energy storage system can be used to increase the fuel economy of fuel cell system (FCS). In this study, a new method was introduced for optimizing the energy management strategy (EMS) for fuel cell vehicle (FCV) to reduce fuel consumption. The membership function (MF) in fuzzy control is subjective; thus, 12 design variables in the input‐output MFs were selected using sensitivity analysis, and elliptical basis function neural network method was used to establish a high‐precision approximate model of FCV. Multi‐island genetic algorithm was used to optimize the MFs. The effectiveness of the optimized fuzzy control EMS and the proposed optimization method were demonstrated in simulations of two EMSs under four driving cycles. The simulation results confirmed that the optimized fuzzy control EMS provided smoother and more stable output power from FCS reducing hydrogen consumption by 8.4%, 1.1%, 5.1%, and 7.6%, respectively, compared to the original fuzzy control EMS; and hydrogen saved by the optimized EMS provided extra range of 9.15, 1.10, 5.37, and 8.25 km per 100 km in the four driving cycles, respectively. The optimized EMS can reduce hydrogen consumption to increase fuel economy and extend the life span of the fuel cell.

show abstract

Discretely variable speed ratio control strategy for continuously variable transmission system considering hydraulic energy loss

Cited by 12 publications

References 24 publications

Review of the Methods to Optimize Power Flow in Electric Vehicle Powertrains for Efficiency and Driving Performance

Review of the Methods to Optimize Power Flow in Electric Vehicle Powertrains for Efficiency and Driving Performance

HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission

Optimization of fuzzy control energy management strategy for fuel cell vehicle power system using a multi‐islandgenetic algorithm

Contact Info

Product

Resources

About