Novel regenerative braking method for transient torsional oscillation suppression of planetary-gear electrical powertrain

Wang, Feng; Ye, Peng; Xu, Xing; Cai, Yingfeng; Ni, Shaoyong; Que, Hongbo

doi:10.1016/j.ymssp.2021.108187

Cited by 13 publications

(10 citation statements)

References 34 publications

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“…In short, it can be concluded from the work, that highly flexible gear shifting strategy is crucial in optimizing EV driving mileage, and such flexibility is possible with the optimized multispeed transmission in the EV powertrain. Other works involving the optimization of multispeed discrete transmission in EV can be found in [34][35][36][37][38][39]. However, unlike [33,34] they presented the optimization of twospeed transmission in an electric truck subjected to specific gradient route without heavy traffics, and the motor's efficiency mapping also included regenerative braking efficiency.…”

Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

“…Based on the aforementioned shifting strategy and driving cycle, the two ratios of the transmission were optimized for efficiency and acceleration using particle swarm optimization (PSO). The results showed that, when compared against one-speed trans- Other works involving the optimization of multispeed discrete transmission in EV can be found in [34][35][36][37][38][39]. However, unlike [33,34] they presented the optimization of two-speed transmission in an electric truck subjected to specific gradient route without heavy traffics, and the motor's efficiency mapping also included regenerative braking efficiency.…”

Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

“…Another study involving regenerative braking for a two-speed transmission was described in [35], where a two-speed planetary gearset was used. Here, the main objective, instead of maximum efficiency, was to minimize jerking during the braking.…”

Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

“…In [38], on the other hand, a two-speed EV powertrain model were optimized using genetic algorithm (GA) with the objectives to achieve quick 0-100 km/h acceleration (driving performance) and minimum power consumption (efficiency) under NEDC. The type of transmission used in the model were not specifically mentioned, Another study involving regenerative braking for a two-speed transmission was described in [35], where a two-speed planetary gearset was used. Here, the main objective, instead of maximum efficiency, was to minimize jerking during the braking.…”

Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

“…A summary of the works presented in [33][34][35][36][37][38][39][40] is provided in Table 2 and they highlighted the significance of optimizing the gear ratios and the gearshifting strategy to achieve powertrain efficiency and driving performance. Some of these works have started to discuss on the gearshifting mechanism, but analysis on jerking and actuation power usage during shifting was still limited.…”

Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

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

et al. 2022

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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.

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Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

Section: Multispeed Discrete Transmissionmentioning

confidence: 99%

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

et al. 2022

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Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

Saiteja

Ashok

Wagh

et al. 2022

Intl J of Energy Research

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Summary Vehicle technology advances and the world shifts towards E‐mobility, improving the performance of electric vehicles (EVs) and HEVs, which are becoming the prominent focus. One of the prime topics of EV development is increasing the driving range, which is the fundamental requirement. Apart from increasing the battery capacity, retrieving the wasted energy during conventional braking, also called as regenerative braking, is a hot topic. In this context, numerous control architectures and major braking approaches are considered to examine in this study in order to create an efficient regenerative braking system (RBS). This review article intends to provide an overview of major subsystems in the RBS such as motor control system and hydraulic braking system and how it affects the braking performance is also well discussed. Additionally, it complies with some of the recent research applications and systematically reviews the several braking control strategies implied. The prominent ones are fuzzy logic control, neural network, MPC, sliding mode, and adaptive control modelling approaches. These control strategies are used to enhance energy regeneration without affecting vehicle performance. Further, this article discusses the RBS design process and its calibration variables, such as speed of the vehicle and brake force estimation, which can be used to improve braking performance. Moreover, challenges on RBS improvements are effectively addressed, coupled with brief suggestions and discussions for the growth of future RBS development. Finally, this article will hopefully help the reader to critically analyse the working of RBS and encourage to design of an efficient RBS for electro‐mobility application. Highlights A holistic overview of the RBS control system architecture and its various control systems is reviewed. Various brake energy control strategies like Fuzzy, MPC, NN, SMC, Adaptive and learning‐based controls are critically evaluated. The discussion of necessary calibration process and its associated parameters are elucidated. Representation of real‐time design and development process of an efficient RBS in EV. Some of the prominent challenges faced during design and development of RBS and scope of future improvement is suggested.

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ANN‐PID based automatic braking control system for small agricultural tractors

Pradhan,

Sahoo,

Kushwaha

et al. 2024

Journal of Field Robotics

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Braking system is a crucial component of tractors as it ensures safe operation and control of the vehicle. The limited space availability in the workspace of a small tractor exposes the operator to undesirable posture and a maximum level of vibration during operation. The primary cause of road accidents, particularly collisions, is attributed to the tractor operator's insufficient capacity to provide the necessary pedal power for engaging the brake pedal. During the process of engaging the brake pedal, the operator adjusts the backrest support to facilitate access to the brake pedal while operating under stressed conditions. In the present study, a linear actuator‐assisted automatic braking system was developed for the small tractors. An integrated artificial neural network proportional–integral–derivative (ANN‐PID) controller‐based algorithm was developed to control the position of the brake pedal based on the input parameters like terrain condition, obstacle distance, and forward speed of the tractor. The tractor was operated at four different speeds (i.e., 10, 15, 20, and 25 km/h) in different terrain conditions (i.e., dry compacted soil, tilled soil, and asphalt road). The performance parameters like sensor digital output (SDO), force applied on the brake pedal (), and deceleration were considered as dependent parameters. The SDO was found to good approximation for sensing the position of the brake pedal during braking. The optimized network topology of the developed multilayer perceptron neural network (MLPNN) was 3‐6‐2 for predicting SDO and deceleration of the tractor with a coefficient of determination () for the training and testing datasets of the SDO and deceleration were obtained as 0.9953 and 0.9854, and 0.9254 and 0.9096, respectively. The Ziegler–Nichols (Z‐N method) method was adopted to determine the initial optimal gains of the PID controller and later these coefficients were optimized using response surface methodology. The optimized proportional (), integral (), and derivative () coefficient values were 4.8, 6.782, and 3.15, respectively. The developed integrated ANN, that is, MLPNN and PID‐based algorithm could successfully control the position of the brake pedal during braking. The stopping distance and slip of the tractor during automatic braking increased with an increase in the forward speed for the tractor from 10 to 25 km/h in all the selected terrain conditions.

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Novel regenerative braking method for transient torsional oscillation suppression of planetary-gear electrical powertrain

Cited by 13 publications

References 34 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

Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

ANN‐PID based automatic braking control system for small agricultural tractors

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