Mode Shift Control for a Hybrid Heavy-Duty Vehicle with Power-Split Transmission

Huang, Kun; Chen, Xiang; Ma, Yue; Wang, Weida; Langari, Reza

doi:10.3390/en10020177

Cited by 22 publications

(12 citation statements)

References 32 publications

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“…Huang et al performed a mode switching simulation test on the motor compensation control strategy. However, the engine model using the engine steady‐state MAP calibration method and the first‐order transfer function shown in Equation for the sake of simplicity.

\begin{matrix} lefttrue \\ T_{normale} = \frac{1}{τ_{normale} s + 1} T_{e ‐ des} \\ T_{e ‐ des} = f (ω_{e}, α) \end{matrix}

…”

Section: Various Dccsmentioning

confidence: 99%

Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

et al. 2020

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Summary Aiming at the problem of torque coordinated control between motor with high‐frequency response and engine with low‐frequency response of hybrid electric vehicle (HEV) during mode transition process, the mechanism of its coordinated control problem is deeply explored, and the essence of dynamic coordinated control strategy (DCCS) through torque coupling analysis is also revealed, namely, motor torque compensation control. Then a series of domestic and international researches on multi‐power sources coordinated control are systematically summarized from the establishment of electromechanical transmission (EMT) system model, mode switching process analysis, engine‐clutch‐motor coordinated control strategy based on torque estimation and speed feedback tracking, as well as the controller robustness analysis under system parameter perturbation and external disturbance. Finally, the key issues on the rapidity, adaptability, and experiment of torque coordination control which need to be solved in the subsequent researches are pointed out clearly.

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\begin{matrix} lefttrue \\ T_{normale} = \frac{1}{τ_{normale} s + 1} T_{e ‐ des} \\ T_{e ‐ des} = f (ω_{e}, α) \end{matrix}

…”

Section: Various Dccsmentioning

confidence: 99%

Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

et al. 2020

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“…The vehicle features used for the simulations are shown in Table 1. 4 [rpm] 2500 1 The vehicle mass includes the electric machines (about 80 kg), the storage system (85 kg) and the electric drives (about 15 kg). 2 The vehicle performance is related to the electric motor and it is independent of the ICE sizing; as a consequence, ICE downsizing about 50%.…”

Section: Vehicle Featuresmentioning

confidence: 99%

“…3 Power in the maximum efficiency working condition. 4 Speed in the maximum efficiency working condition.…”

Section: Vehicle Featuresmentioning

confidence: 99%

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Advantages of Using Supercapacitors and Silicon Carbide on Hybrid Vehicle Series Architecture

et al. 2017

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In recent years enormous growth has taken place in the hybrid vehicle sector; parallel architecture is the most widespread configuration regarding medium size cars. At the same time, storage systems and power electronics have experienced some important innovations. The development of supercapacitors has permitted management of high power with elevated efficiency. Moreover, the availability on the market of silicon carbide components has allowed a significant reduction of power electronic losses. These improvements may challenge the hybrid architecture used in medium size cars nowadays. On one hand, series architecture would relevantly benefit from an electric powertrain efficiency increase, on the other hand, these innovations would generate low benefits in parallel architectures. The aim of this paper is to evaluate electric component average efficiency over different road missions, in order to estimate fuel economy over various working conditions and finally to establish which hybrid configuration is most efficient in vehicle applications.

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“…To solve the friction-induced discontinuity during clutch engagement, previous studies have investigated optimal torque-coordinated control 15 and robust control based on the m-synthesis 16 to reduce vehicle jerk intensity, model predictive control method to regulate the clutch torque, 17,18 adaptive control, 19 disturbance observer 20 and fuzzy gain-scheduling control to adapt the nonlinearities of the clutch torque. 21 In addition, the dynamic coordinated control strategies that exert the motor torque compensation [22][23][24][25] can also achieve a smooth mode shift. Existing solutions found in the above-described research publications are based on heuristic techniques; however, these control system designs do not explicitly exploit the modeling aspect involving the clutch model.…”

Section: Introductionmentioning

confidence: 99%

Model reference adaptive control of a series–parallel hybrid electric vehicle during mode shift

Huang

Chen

Langari

2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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Mode shift, as an essential transient state of series–parallel hybrid electric vehicle, might generate torque variation and intensive vehicle jerk due to the discontinuity and nonlinearity of dynamics of the powertrain topology, which results in an unpleasant driving comfort. Therefore, it is necessary to propose a proper control strategy and ensure a smooth transition process for the series–parallel hybrid electric vehicle during mode shift. This article presents a model reference adaptive controller to manage clutch engagement so as to decrease vehicle jerk and clutch frictional loss in a series–parallel hybrid electric vehicle. To design a clutch-coupled transmission system in this article, dynamic equations of a series–parallel hybrid electric vehicle are derived. To avoid the friction-induced discontinuity of clutch frictional torque during mode shift, a model reference adaptive controller based on hyper-stability theory is proposed that coordinately manages the clutch frictional torque. The simulation and the experimental results demonstrate that the proposed model reference adaptive controller in this article can effectively decrease the vehicle jerk and clutch frictional loss when compared with the conventional control method.

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Mode Shift Control for a Hybrid Heavy-Duty Vehicle with Power-Split Transmission

Cited by 22 publications

References 32 publications

Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

Advantages of Using Supercapacitors and Silicon Carbide on Hybrid Vehicle Series Architecture

Model reference adaptive control of a series–parallel hybrid electric vehicle during mode shift

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