Characterisation of the electric drive of EV: on‐road versus off‐road method

Dépature, Clément; Lhomme, Walter; Bouscayrol, Alain; Boulon, Loïc; Sicard, Pierre; Jokela, Tommi

doi:10.1049/iet-est.2016.0060

Cited by 14 publications

(7 citation statements)

References 37 publications

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“…The studied vehicle is a real two-seat electric vehicle, the Tazzari Zero (Imola, Italia) [41], with a mass of 640 kg and an induction machine of 15 kW (Table 1). This kind of vehicle is most of the time used in urban area.…”

Section: Simulation Resultsmentioning

confidence: 99%

Energy Management of a Multi-Source Vehicle by λ-Control

et al. 2020

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This paper deals with the real-time energy management of a fuel cell/battery/supercapacitors energy storage system for electric vehicles. The association of the battery and the supercapacitors with the fuel cell aims to reduce the hydrogen consumption while limiting the constraints on the fuel cell and the battery. In this paper, a real-time optimization-based energy management strategy by λ-control is proposed. Simulation results on a standard driving cycle show that the hydrogen consumption is reduced by 7% in comparison with a fuel-cell-based electric vehicle without any secondary energy storage source. Moreover, the energy management strategy ensures the system safety while preserving the fuel cell and the battery. Experimental results show that the developed energy management strategy is well-suited for the real-time requirements, applicability, and safety.

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Section: Simulation Resultsmentioning

confidence: 99%

Energy Management of a Multi-Source Vehicle by λ-Control

et al. 2020

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“…A static model describes the coupling of the electric drive (ED) and the mechanical transmission (MT) as a controlled electromechanical converter [41]. This converter imposes the traction force Ftrac, which is equal to its reference.…”

Section: A Model Of the Traction Subsystemmentioning

confidence: 99%

Flexible Simulation of an Electric Vehicle to Estimate the Impact of Thermal Comfort on the Energy Consumption

Ramsey

Bouscayrol

Boulon

et al. 2022

IEEE Trans. Transp. Electrific.

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“…The machine drive subsystem imposes itrac given by (6) which is the static model of the electrical machine drive. The efficiency ηm of the electrical machine drive is given by an efficiency map [26].…”

Section: ) Modelingmentioning

confidence: 99%

Real-Time Energy Management of Battery/Supercapacitor Electric Vehicles Based on an Adaptation of Pontryagin's Minimum Principle

Nguyễn

German

Trovão

et al. 2019

IEEE Trans. Veh. Technol.

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The combination of batteries and supercapacitors is promising in electric vehicles context to minimize battery aging. Such a system needs an energy management strategy (EMS) that distributes energy in real-time for real driving cycles. Pontryagin's minimum principle (PMP) is widely used in adaptive forms to develop real-time optimization-based EMSs thanks to its analytical approach. This methodology leads to an off-line optimal solution which requires an extra adaptive mechanism for real-time applications. In this paper, a simplification of the PMP method is proposed to avoid the adaptation mechanism in real-time. This new EMS is compared to well-known conventional strategies by simulation. Furthermore, experimental results are provided to assess the real-time operation of the proposed EMS. Simulation and experimental results prove the advantages of the proposed approach by a reduction up to 50% of the batteries rms current on a real-world driving cycle compared to a battery-only EV.

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Characterisation of the electric drive of EV: on‐road versus off‐road method

Cited by 14 publications

References 37 publications

Energy Management of a Multi-Source Vehicle by λ-Control

Energy Management of a Multi-Source Vehicle by λ-Control

Flexible Simulation of an Electric Vehicle to Estimate the Impact of Thermal Comfort on the Energy Consumption

Real-Time Energy Management of Battery/Supercapacitor Electric Vehicles Based on an Adaptation of Pontryagin's Minimum Principle

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