Real‐time control algorithm for minimising energy consumption in parallel hybrid electric vehicles

Zhang, Bo; Xu, Fuguo; Zhang, Jiangyan; Shen, Tielong

doi:10.1049/iet-est.2020.0052

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…In addition, the torque load caused by the change of air mass flow leads to an unknown external disturbance in the ET system. Therefore, it is meaningful and challenging to suppress the above uncertainties, nonlinearities, and external disturbances to improve the ET system control performance [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Design and Experimental Analysis of an Adaptive Second-Order Fast Non-Singular Terminal Sliding Mode Controller for Electronic Throttle With Disturbance

2023

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Achieving accurate and reliable tracking control for the electronic throttle (ET) with uncertainties and external disturbances is one of the most meaningful and challenging tasks. In this paper, a novel adaptive second-order fast non-singular terminal sliding mode control approach is proposed for the ET system of engines. First, the hierarchical two-layer sliding surface was designed based on the concepts of high-order sliding mode and nonlinear sliding mode, which exhibits features of chattering-free, fast response and high accuracy. Then, a novel adaptation mechanism of bidirectional gain variation was included in the modified approach to avoid the prior evaluation of the unknown disturbances and uncertainties located in the ET system. The idea behind this was to calculate the relative position between the system state and the stable point in real-time. Further, the system stability and convergence region were deduced based on the Lyapunov stability theory. Finally, in order to further prove its high control performance and adaptation capability, it was compared with the following commonly used methods: non-singular terminal sliding mode control, adaptive sliding mode control and high-order sliding mode control. Experimental verifications were conducted to validate the performance of the proposed approach considering four different test signals.INDEX TERMS Adaptive sliding mode control, electronic throttle, second-order sliding mode, fast non-singular terminal sliding mode.EN-ZHE SONG received the bachelor's degree in internal combustion engine, the master's degree in power machinery and engineering, and the Ph.D. degree in marine engineering from Harbin Engi-

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Section: Introductionmentioning

confidence: 99%

Design and Experimental Analysis of an Adaptive Second-Order Fast Non-Singular Terminal Sliding Mode Controller for Electronic Throttle With Disturbance

2023

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“…[22]. FLC's performance could be improved by optimising its parameters for a specific driving cycle using an optimisation algorithm such as particle swarm optimisation (PSO) [23], model predictive control (MPC) [24], and genetic algorithm (GA) [25,26]. Moreover, the use of the traffic condition and driving information in the design of an EMS, known as intelligent EMSs, can enhance the performance of an FLC-based strategy as discussed in [21,27,28].…”

Section: Introductionmentioning

confidence: 99%

An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition

Ghobadpour

Mousazadeh

Kélouwani

et al. 2021

IET Electrical Syst in Trans

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Due to the growing emergence of vehicle electrification, agricultural tractor developers are launching hybrid powertrains in which energy management strategy (EMS) assumes a prominent role. This work mainly aims at developing an EMS for a plug-in hybrid electric tractor (PHET) to minimise fuel consumption and increase the operating range. The developed off-road PHET power sources are composed of a biogas-fuelled Internal Combustion Engine Generator (Bio-Gen), a photovoltaic system, and a battery pack. To control the power flow among different sources, a two-layer EMS is formulated. In this regard, initially, the farm operating mode is recognised by means of classification of a working cycle's features. Then, a control strategy based on a multi-mode fuzzy logic controller (MFLC) is employed to manage the power flow. At each sequence, the classifier identifies the farm operation condition and accordingly activates the relative mode of the MFLC to meet the requested power from the Bio-Gen. The performance of the proposed EMS has been evaluated based on three real-world typical agricultural working cycles. The results demonstrate the successful performance of the proposed intelligent EMS under farm conditions by maintaining the energy sources' operation in a highefficiency zone which can lead to the extension of the working range and decrease fuel consumption.

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“…Ma et al [20] described a predictive optimization strategy considering a V2V topological communication structure of leader-predecessor-follower. Zhang et al [21] proposed a real-time control algorithm for parallel hybrid electric vehicles (HEVs) in a connected environment. Zhang et al [22] proposed a constrained optimization model to facilitate real-time updating of the optimal speed in connected vehicles.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Drive Strategy for an Intelligent Vehicle Controller Unit Integrated with Connected Data

Zhang³

et al. 2021

Machines

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In order to improve vehicle control safety in intelligent and connected environments, a fuzzy drive control strategy is proposed. Through the fusion of vehicle driving data, an early warning level model was established, and the fuzzy control method was used to obtain the appropriate torque command under the vehicle condition; torque optimization processing was performed according to the different corresponding vehicle following characteristics. The control strategy was tested and verified on an established platform. Based on the experimental results, compared with the traditional drive strategy in one-way front and rear following scenarios, the vehicle avoided excessive opening and closing of the accelerator pedal when the distance between vehicles was close, maintained the correct distance in the following situation, and had better dynamic response when the distance between vehicles was large, indicating that the proposed drive strategy had a better real-time and security performance.

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Real‐time control algorithm for minimising energy consumption in parallel hybrid electric vehicles

Cited by 4 publications

References 33 publications

Design and Experimental Analysis of an Adaptive Second-Order Fast Non-Singular Terminal Sliding Mode Controller for Electronic Throttle With Disturbance

Design and Experimental Analysis of an Adaptive Second-Order Fast Non-Singular Terminal Sliding Mode Controller for Electronic Throttle With Disturbance

An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition

A Fuzzy Drive Strategy for an Intelligent Vehicle Controller Unit Integrated with Connected Data

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