A novel method to improve vehicle energy efficiency: Minimization of tire power loss

Sina, Naser; Yazdi, Mohammad Reza Hairi; Esfahanian, Vahid

doi:10.1177/0954407019861241

Cited by 9 publications

(12 citation statements)

References 43 publications

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“…(18) in backward simulations, where vehicle speed and acceleration are assumed to be known a priori, an appropriate inverse tire model should be used in which the tire slip is provided for a specific tractive force under determined conditions. A polynomial inverse tire model is provided by Sina et al [23], in which the coefficients are characterised as a function of performance parameters. Interested readers may refer to that paper for further details.…”

Section: Modified Vehicle Longitudinal Modelmentioning

confidence: 99%

Modified Dynamic Model for Longitudinal Motion of Ground Vehicles

Sina¹,

Yazdi²,

Esfahanian³

2021

IJAME

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The present study aims to provide a modified model for analysing the longitudinal dynamics of ground vehicles. Bearing in mind that an inevitable tire slip occurs under the transmission of driving torque to the drive wheels, the pure rolling assumption employed in many previous works is modified in this research. This paves the way through the development of a more realistic simulation framework with promising performance when used in vehicle and powertrain related topics. The modified equation of motion is an explicit function of tire slip ratio, and as a result, by rewriting the power balance equation, a dissipation term due to tire slip appears, which is consistent with the outcome of the recent contributions. Simulation results indicate a significant difference between the modified and simplified models in the case of a relatively high tractive force. Moreover, tire slip loss is obviously large in such a case, so that its neglect would lead to a noticeable inaccuracy in the response of the traditional model. An average of 35% improvement in the accuracy of prediction of tire consumed energy is observed in 0 to 100 km/h half-throttle acceleration manoeuvre using the modified model.

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Section: Modified Vehicle Longitudinal Modelmentioning

confidence: 99%

Modified Dynamic Model for Longitudinal Motion of Ground Vehicles

Sina¹,

Yazdi²,

Esfahanian³

2021

IJAME

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“…Moreover, air resistance w P was considered as non-production resistance force, which can be reduced by a rational choice of the vehicle aerodynamic parameters. Since a decrease in non-productive energy costs contributes to an increase of capacity that can be used for vehicle acceleration (improving acceleration dynamics), a number of authors [6] suggested taking the power spent to accelerate the car as useful work.…”

Section: Analysis Of Publicationsmentioning

confidence: 99%

Improvement evaluation methodology of vehicle load and energy efficiency

Podrigalo

2021

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Problem. There was a need to expand the well-known concept of vehicle operational properties – fuel efficiency arose in connection with the advent of new alternative power plants (electric motors, flywheel engines, hybrid power plants, etc.), which requires the inclusion of not only the thermal energy of the fuel, but also other types of energy (electrical and mechanical). In the paper the research of choice and justification of the vehicle energy efficiency indicators by assessing the energy costs of the engine for its movement was made. The analysis of the relationship between energy characteristics of dynamics and vehicle efficiency was made. Goal. The aim of the study is to analyze methods for assessing the vehicle energy efficiency. To achieve this goal, it is necessary to determine indicators that will allow a comparative analysis of energy efficiency indicators of various vehicles. Methodology. The approaches taken in the work to solve this goal are based on substantiating the indicators of the energy efficiency of the car by assessing the energy consumption of the engine for its movement. Results. In our opinion, in projecting and evaluating the dynamic properties of vehicles, it is rational to use the energy indicators of the vehicle, for which it is necessary to develop appropriate assessment criteria. Analysis of the results of indicators calculation and, in table 1, has shown that the indicator in comparison with has less dispersion. Originality. The obtained results of the influence of the parameters of vehicles on the level of their energy load shows that the indicator has less dispersion than. In addition, the value does not correlate with the year of manufacture of the vehicle, which allows the use of this indicator at the design stage of vehicles. It is only necessary to set the rational normative value of this indicator. Practical value. The results obtained can be recommended to specialists for use in the design, production, certification and operation of automotive vehicles, vehicle energy efficiency, combined power plant.

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“…1,5,6 In spite of its simple design and implementability, CDCS strategy does not end in the optimal fuel consumption, which is regarded as a crucial shortcoming especially owing to progressively strict legislation on the vehicles' energy efficiency. [7][8][9][10] Utilizing the optimization based approaches would overcome such shortcoming by guarantying the optimality of fuel consumption through a driving cycle.…”

Section: Literature Reviewmentioning

confidence: 99%

On the estimation of optimal state-of-charge trajectory for plug-in hybrid electric buses using trip information

Sina

Esfahanian

Yazdi

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Plug-in hybrid electric buses are a viable solution to increase the fuel economy. In this framework, precise estimation of optimal state-of-charge trajectory along the upcoming driving cycle appears to play a pivotal role in the way to approach the globally optimal fuel economy. This paper aims to conduct a parametric study on the key factors affecting the estimation of optimal state-of-charge trajectory, including trip information availability and trip segment distance, and to provide a guideline for the design and implementation of predictive energy management systems. To accomplish this, the dynamic programming algorithm is employed to obtain the solution of optimal control problem for the sampled driving cycles in a particular bus route. A large database comprising of driving features of the cycles and the optimal solution is developed which then is used to construct a neural network based estimator for obtaining the optimal state-of-charge trajectory. The main results show promising performance of the proposed method with about 76% reduction in the root mean square error of the estimated trajectory comparing to the linear state-of-charge trajectory assumption. Moreover, the robustness of the estimator is verified through simulation and it is observed that appropriate choice of trip segment distance is vital to improve the estimation accuracy, especially in case of uncertain prediction of trip information.

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A novel method to improve vehicle energy efficiency: Minimization of tire power loss

Cited by 9 publications

References 43 publications

Modified Dynamic Model for Longitudinal Motion of Ground Vehicles

Modified Dynamic Model for Longitudinal Motion of Ground Vehicles

Improvement evaluation methodology of vehicle load and energy efficiency

On the estimation of optimal state-of-charge trajectory for plug-in hybrid electric buses using trip information

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