Working cycle identification–based braking control strategy and its application for hydraulic hybrid loader

Lin, Man; Yu, Zhenhai; Zhao, Li; Chen, Yong

doi:10.1177/1687814018773160

Cited by 7 publications

(7 citation statements)

References 25 publications

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“…The loader operation cycle types include "Y," "I," and "V" types, and the V-type cycle is commonly used in research and serves as a widely adopted benchmark for evaluating the performance of an electric loader. 43 Loaders often operate under low speed, high torque, and high load impact conditions, repeating the same operating cycle. Accordingly, this paper takes a 5-ton loader as the research target, and its V-type operation cycle and corresponding speed are indicated in Figure 2.…”

Section: The Operating Condition Of the Electric Loadermentioning

confidence: 99%

A real‐time energy management control strategy of hybrid energy system for a pure electric loader

Ma,

Ye,

et al. 2024

Circuit Theory & Apps

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SummaryTo enhance the efficiency and prolong the battery life of hybrid energy systems equipped with battery and supercapacitor for a pure electric loader, this paper proposes a real‐time energy management strategy based on model predictive control (MPC). First, the working characteristics of the loader and the topology structure of the hybrid energy are analyzed. Second, considering the repetitive operation model of electric loaders, a neural network algorithm based on long short‐term memory is used to predict power and a dynamic programming algorithm is used as the rolling optimization solution for MPC strategy. Finally, the MPC is verified using the simulation in MATLAB/Simulink. The results indicate that compared with other strategies, the MPC strategy can improve hybrid energy efficiency and reduce the maximum battery current fluctuations. The proposed method demonstrates the feasibility and effectiveness of the hybrid energy system.

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Section: The Operating Condition Of the Electric Loadermentioning

confidence: 99%

A real‐time energy management control strategy of hybrid energy system for a pure electric loader

Ma,

Ye,

et al. 2024

Circuit Theory & Apps

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“…The overview of motor control system with regenerative braking in EVs battery state. 170 The vehicle braking performance and the amount of energy recuperation depends on the distribution of braking torque between the braking systems (motor and hydraulic systems) in the vehicle. For these the major output braking systems are the motor, which recuperates energy and the supplementary hydraulic braking system for fast vehicle stopping.…”

Section: Hydraulic Braking Systemmentioning

confidence: 99%

“…As it's known that there must be a balance between both hydraulic and regenerative braking for effective brake performance. Since the vehicle motion is dynamic in nature, the outputs depend upon the driving conditions, driver inputs and even on the battery state 170 . The vehicle braking performance and the amount of energy recuperation depends on the distribution of braking torque between the braking systems (motor and hydraulic systems) in the vehicle.…”

Section: Regenerative Braking System Controller Outputsmentioning

confidence: 99%

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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“…Hydrostatic transmission wheeled vehicles are normally large engineering vehicles, of which operating environment is harsh and the demand for braking performance will be higher [17]. The auto hold system of hydrostatic transmission wheeled vehicle needs to satisfy the following requirements: fast respond at the moment of braking, stable braking force during the braking process, timely relieving braking at the end of braking.…”

Section: System Designmentioning

confidence: 99%

Design and feasibility analysis of a novel auto hold system in hydrostatic transmission wheeled vehicle

Dai

Liu

2019

Automatika

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Auto hold refers to vehicle's function of automatic braking under shutdown condition and automatic relieving braking force when vehicle starts. This paper presents a concrete structure of the novel auto hold system of hydrostatic transmission wheeled vehicle, and deeply analyses the working mechanism and control method. To validate its feasibility, AMESim software is adopted to establish the simulation model of the auto hold system based on mathematical theories. By using the data of a certain comprehensive operation mode as input, the curve of braking force of the auto hold system is obtained through simulation. It can be known through analysis that the proposed auto hold system can realize rapid response and provides stable braking force under different road conditions. Finally, the feasibility of the proposed auto hold system is validated by comparing the simulation data with actual braking force required and the electronic vehicle parking technology. It turns out that the auto hold system can meet the requirements of all road conditions. Besides, it also can provide a fault tolerance range for real vehicle experiments, and it will not cause adverse impacts due to excessive parking brake force.

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Working cycle identification–based braking control strategy and its application for hydraulic hybrid loader

Cited by 7 publications

References 25 publications

A real‐time energy management control strategy of hybrid energy system for a pure electric loader

A real‐time energy management control strategy of hybrid energy system for a pure electric loader

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

Design and feasibility analysis of a novel auto hold system in hydrostatic transmission wheeled vehicle

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