Mathematical modeling of Electric vehicles - A survey

Lekshmi, S; Priya, P S Lal

doi:10.1016/j.conengprac.2019.104138

Cited by 27 publications

(11 citation statements)

References 46 publications

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“…After the wheel tyres are modelled, the most decisive criteria is the piecewise linear tyre model, which uses few coefficients. 24 According to Lekshmi and Lal Priya and Lal, 18 the regenerative braking system used in EVs contributes positively to the vehicle’s energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…In the mathematical modelling of electric vehicles, Guzzella and Amstutz 17 introduced a general vehicle's fundamental dynamics that were originally found by Lekshmi and Lal Priya and Lal 18 and called the Quasi-Static Simulation Toolbox (QSS-TB), which is a MATLAB toolbox developed at ETH Zu¨rich. Elgowainy 19 used physics fundamental principles in modelling the dynamic behaviour of vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…The four-wheel-drive planar dynamic model considers longitudinal and lateral dynamics, as Suh et al 22 reported. The six degrees of freedom (DOF) to each of the vehicle rigid-body components, as Lekshmi and Lal Priya and Lal 18 have considered. The intermediate multi-body model uses the Newton-Euler formulation to study the vehicle's 14 DOF model, as Jaiswal et al 23 reported.…”

Section: Introductionmentioning

confidence: 99%

“…One of the easiest-to-use battery models used for dynamic simulation software is presented in Ye et al 26 This simple model requires only the battery state-of-charge (SOC) variable, thus simplifying the algebraic solution. Lekshmi and Lal Priya and Lal 18 reported that an electric motor and generator could be simplified to a model using the characteristic equation with their inputs consisting of the demanded torque values at the rotational speed. The output is the required electric power.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Feasibility studies of micro wind turbines installed on electric vehicles as range extenders using real-time analytical simulation with multi driving cycles scenarios

Ebaid

Shahin

Alshawabkeh

2023

Advances in Mechanical Engineering

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The proposed work aims to generate electricity by utilising the air flowing around the vehicle through the micro wind turbines (MWTs). In this case, the electricity produced can be used to charge up the battery or power up additional vehicle accessories, which increases the efficiency or/and range of the vehicle. Three driving cycles have been conducted to examine the model’s performance in moderate, highly dynamic and highway driving scenarios. The analytical works resulted in an 8.38%, 4.6% and 1.01% efficiency increase for the case of the Highway driving cycle (FTP), the new European driving cycle (NEDC) and the standardisation random test aggressive driving cycle (RTS), respectively when adding the micro wind turbines model. In terms of range analysis, 16, 11 and 2 km of the range were added to the full battery charge range of the vehicle when the vehicle was simulated for the case FTP, NEDC and RTS driving cycles scenarios, respectively. The results conclude that the value of micro wind turbines is shimming with highway driving scenarios where the effect of regenerative braking is absent and the drag force acting on the vehicle is at its highest rate.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Feasibility studies of micro wind turbines installed on electric vehicles as range extenders using real-time analytical simulation with multi driving cycles scenarios

Ebaid

Shahin

Alshawabkeh

2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…Due to superiority in terms of high energy density and low selfdischarging rate, lithium-ion (Li-ion) battery has been widely viewed as the key energy storage system for boosting low-carbon energy applications such as transportation electrification and smart grid [1,2]. However, the performance of Li-ion battery significantly depends on its capacities under different operational current cases, which would be affected and determined by battery component parameters interacting with one another [3]. The ability to predict battery capacities under various current levels is of great concern in developing efficient and stable energy storage systems, which is also a key element in enhancing the reliability of largescale transportation electrification and smart grid network [4].…”

Section: Introductionmentioning

confidence: 99%