Optimization of parallel regenerative braking control strategy

Zhang, Jingming; Song, Biao; Xiaojing, Niu

doi:10.1109/vppc.2008.4677420

Cited by 16 publications

(6 citation statements)

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“…Recent research on energy conservation and on the optimization of regenerative braking energy [4,[26][27][28] can be grouped in two categories: optimized braking control strategies and techniques to increase system receptivity. The former aim to increase the energy regenerated during braking, control the applied torque of traction motors [29,30], or optimize braking force distribution [31,32], thus modifying the vehicle braking speed profile. Detailed models of the onboard traction drive system have been proposed, which are applicable to a wide range of operating conditions [33], and have then been integrated with the entire traction grid, even for complex supply schemes [34].…”

Section: Introductionmentioning

confidence: 99%

Influence of Infrastructure and Operating Conditions on Energy Performance of DC Transit Systems

2023

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Energy efficiency is more and more important for modern electrified transportation systems, requiring an understanding of the various indexes of performance (regenerability, receptivity, and energy losses, thus including braking recovered energy and energy loss in catenary) and of the influence of the main system parameters (headway, line voltage, substation separation, etc.). By means of electromechanical simulation, the most relevant parameters and system conditions are identified as influencing the efficiency performance and optimization capability. Besides the assessment of such efficiency performance indexes, identifying their typical ranges of variation, one further outcome is the identification of characteristic system parameter combinations that lead to extreme variations in the system energy efficiency itself. Such peculiar variations are caused by occasionally synchronized patterns of trains along the line and result in a significant local increase or decrease in efficiency. Efficiency drop scenarios in particular should be taken into consideration for worst-case analysis and to devise effective mitigations. To this aim, the effect of differently distributed passenger stations is considered.

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Section: Introductionmentioning

confidence: 99%

Influence of Infrastructure and Operating Conditions on Energy Performance of DC Transit Systems

2023

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“…The reference [11] considered the low generating efficiency of generators, and a similar distribution strategy was proposed according to the ECE braking regulation. The references [12,13] proposed an optimization method in which braking stability was regarded as the constraint and the maximum regenerative energy recovery efficiency was designed as the target. Generally, the strategies described above focused mainly on the objective of the regenerative energy recovery efficiency.…”

Section: Introductionmentioning

confidence: 99%

A Predictive Distribution Model for Cooperative Braking System of an Electric Vehicle

Guo

Xiao³

2014

Mathematical Problems in Engineering

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A predictive distribution model for a series cooperative braking system of an electric vehicle is proposed, which can solve the real-time problem of the optimum braking force distribution. To get the predictive distribution model, firstly three disciplines of the maximum regenerative energy recovery capability, the maximum generating efficiency and the optimum braking stability are considered, then an off-line process optimization stream is designed, particularly the optimal Latin hypercube design (Opt LHD) method and radial basis function neural network (RBFNN) are utilized. In order to decouple the variables between different disciplines, a concurrent subspace design (CSD) algorithm is suggested. The established predictive distribution model is verified in a dynamic simulation. The off-line optimization results show that the proposed process optimization stream can improve the regenerative energy recovery efficiency, and optimize the braking stability simultaneously. Further simulation tests demonstrate that the predictive distribution model can achieve high prediction accuracy and is very beneficial for the cooperative braking system.

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“…Hence arises the interest in improving energy recovery methods, such as regenerative braking (RB) [2], [3], which it is commonly applied to electric (EV) and hybrid vehicles (HEV), since they have weak autonomy due to low load duration of batteries. This method consists in recovering energy during deceleration, converting part of the kinetic energy (E K ) of the system to make it reusable.…”

Section: Introductionmentioning

confidence: 99%

Proposal of an energy management architecture applied into a regenerative braking system

et al. 2010

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Regenerative Braking in vehicles is projected as an intelligent and simple technique to improve the energy replenishment and autonomy in them, due to the fact that it is based on the concurrent process of deceleration. It is smart because takes advantage of the capability of the electric machine to behave as a generator. So, it is possible to recover the kinetic energy store in the rotating inertias by using regenerative braking during the deceleration and restore it into batteries. Some authors are focused on maximizing the energy regenerated, applying techniques as independent factors of the process, like storage elements, control of speed, acceleration, current, etc. In this work we exposes the regenerative braking process and its main parts in a holistic model, where discrete and continuous states and events are related, also linked into the dynamic behavior, bringing the possibility not only to have a general model that commands all the process, but also improve and monitor each stage as a whole. Thus our management architecture pretends to maximize the gain energy in every deceleration, and minimize the energy consumed.

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Optimization of parallel regenerative braking control strategy

Cited by 16 publications

References 1 publication

Influence of Infrastructure and Operating Conditions on Energy Performance of DC Transit Systems

Influence of Infrastructure and Operating Conditions on Energy Performance of DC Transit Systems

A Predictive Distribution Model for Cooperative Braking System of an Electric Vehicle

Proposal of an energy management architecture applied into a regenerative braking system

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