Introduction to special issue on high-efficiency and intelligent train traction system

Four-level active neutral point clamped (ANPC) inverter becomes increasingly widely used in the renewable energy industry since it offers one more voltage level without increasing the total number of active switches compared to the three-level ANPC inverter. The model predictive current control (MPCC) is a promising control method for multi-level inverters. However, the conventional MPCC suffers from high computational complexity and tedious weighting factor tuning in multi-level inverter applications. A low complexity MPCC without weighting factors for four-level ANPC inverter is proposed in this paper. The computational burden and voltage vector candidate set are reduced according to the relationship between voltage vector and neutral point voltage balance. The proposed MPCC shows excellent steady-state and dynamics performances while ensuring the neutral point voltage balancing. The efficacy of the proposed MPCC is verified by simulation and experimental results.

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Low-complexity model predictive control of a four-level active neutral point clamped inverter without weighting factors

Xiang

Fan

Jiang³

et al. 2023

Transportation Safety and Environment

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Study of the Effects of Regenerative Braking System on a Hybrid Diagnostic Train

et al. 2023

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Nowadays, mobility represents a key sector to achieve the goal of carbon neutrality. Indeed, the development of hybrid powertrains is contributing to a reduction in the environmental impact of vehicles. One of the most promising energy-saving solutions is regenerative braking, which enables deceleration while recovering energy, otherwise wasted. Even though much scientific community effort has been addressed to the optimization of this technology in the automotive field, the increase of energy storage systems efficiencies enables the overcoming of the constraints related to the reuse of electric energy in railway vehicles. This solution could be extremely useful for those railway vehicles which operate on non-electrified lines, where traction is usually provided by diesel engines. For this reason, the present work focuses on how regenerative braking technology could be exploited in diesel-powered rail applications. In further detail, a diagnostic train working on real railway lines has been considered as a case study. Given the real duty-cycle of the vehicle, a simulation model has been developed with the aim of evaluating the amount of energy recovered during braking phases and, consequently, the fuel saving and the avoided CO2 emissions. As a result, the analysis shows an improved energy efficiency of propulsion system. Compared with a pure diesel operation, it leads to fuel savings of 20%, a reduction of CO2 emissions of 22.3 kg with 23.25 kWh stored in the battery at the end of the route.

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Introduction to special issue on high-efficiency and intelligent train traction system

Cited by 2 publications

References 6 publications

Low-complexity model predictive control of a four-level active neutral point clamped inverter without weighting factors

Low-complexity model predictive control of a four-level active neutral point clamped inverter without weighting factors

Study of the Effects of Regenerative Braking System on a Hybrid Diagnostic Train

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