Multiple target sound quality balance for hybrid electric powertrain noise

Mosquera-Sánchez, Jaime A.; Sarrazin, Mathieu; Janssens, Karl; Oliveira, L.; Desmet, Wim

doi:10.1016/j.ymssp.2017.06.034

Cited by 30 publications

(12 citation statements)

References 67 publications

(109 reference statements)

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“…Among these noise sources, the main ones are the tire/road and engine [9], [10], [11]. As described in different studies [9], [10], [12], the electric motor noise is very low compared to the engine and tire/road noise. In fact, some studies [9], [13] have been implemented to evaluate the necessity of adding an extra artificial noise in electric mode to be acoustically perceived by the pedestrians.…”

Section: Introductionmentioning

confidence: 97%

Optimal Control of Hybrid Electric Vehicles by Considering Engine and Tire/Road Noises

et al. 2021

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Along with exhaust emissions and fuel consumptions (FCs), noise emission from cars is one of the main concerns of automotive industry. Hybridization is a promising method not only to make automobiles more environmentally-friendly, but also to reduce their noise emissions. However, a proper control design for hybrid electric vehicles (HEVs) to make noise emissions lower is still required in addition to exhaust emissions and FC reductions. In this study, we modify Equivalent Consumption Minimization Strategy (ECMS) to keep the engine noise less than tire/road noise during driving. A test bench is established for calculating the engine noise and brake specific fuel consumption. Moreover, tire/road noise is experimentally defined as a function of the vehicle speed. It is shown that implementing the basic ECMS, the engine noise exceeds the tire/road noise in some moments of driving cycle, which is annoying to the passengers. Therefore, a modified ECMS is proposed to limit the candidate engine operating points such that the engine noise does not exceed the tire/road noise. It is shown that the engine noise level is kept below the tire/road noise level by using the modified ECMS at the expense of a very small increase (about 1%) in the vehicle's FC.

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Section: Introductionmentioning

confidence: 97%

Optimal Control of Hybrid Electric Vehicles by Considering Engine and Tire/Road Noises

et al. 2021

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“…Although, the SA evaluates how uncertainty in the component level of the powertrain (inputs) influences the powertrain objectives (outputs). The majority of published SAs in the field of electrified vehicles are either local (such as one-factor-at-a-time (OAT) [24][25][26][27][28][29][30][31][32][33][34]) analyses, based on unjustified assumptions of model linearity and additivity. In fact, most of the HEV/EV powertrain models are nonlinear which raises the following question, "What would be the consequences if the SA results are incorrect?"…”

Section: Introductionmentioning

confidence: 99%

Overview of Sensitivity Analysis Methods Capabilities for Traction AC Machines in Electrified Vehicles

Asef

Lapthorn

2021

IEEE Access

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A robust design in electrified powertrains substantially helps to enhance the vehicle's overall efficiency. Robustness analyses come with complexity and computational costs at the vehicle level. The use of sensitivity analysis (SA) methods in the design phase has gained popularity in recent years to improve the performance of road vehicles while optimizing the resources, reducing the costs, and shortening the development time. Designers have started to utilize the SA methods to explore: i) how the component and vehicle level design options affect the main outputs i.e. energy efficiency and energy consumption; ii) observing sub-dependent parameters, which might be influenced by the variation of the targeted controllable (i.e. magnet thickness) and uncontrollable (i.e. magnet temperature) variables, in nonlinear dynamic systems; and iii) evaluating the interactions, of both dependent, and sub-dependent controllable/uncontrollable variables, under transient conditions. Hence the aim of this study is to succinctly review recent utilization of SA methods in the design of AC electric machines (EM)s used in vehicle powertrains, to evaluate and discuss the findings presented in recent research papers while summarizing the current state of knowledge. By systematically reviewing the literature on applied SAs in electrified powertrains, we offer a bibliometric analysis of the trends of application-oriented SA studies in the last and next decades. Finally, a numericalbased case study on a third-generation TOYOTA Prius EM will be given, to verify the SA-related findings of this paper, alongside future works recommendations.INDEX TERMS Automotive engineering, AC machines, electric vehicles, robustness, sensitivity analysis, permanent magnet machines, time series analysis, statistics.

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“…On the one hand, their intrinsic sound attribute is very quiet and the sound of EVs lacks of power [1], identifiability [1,2], and safety [3,4] at low speeds. On the other hand, their interior noise is so insipid and boring [1,3] at high speeds because of massive variational high-frequency-narrow-band noise harmonics [5] that drivers and passengers may be extremely annoying. As the main difference between the ICEVs and EVs is their different power system, the electrification of power systems causes the new SQ problems of EVs and noises of electrical motors became one of the main noise sources of EVs.…”

Section: Introductionmentioning

confidence: 99%

“…However, due to wide speed range, large electromagnetic load and a lot of current harmonics, complex harmonic noises and prominent frequency problems arise in permanent magnet synchronous motor (PMSM) for EVs. The noises usually induce disturbing whistles in EVs, which strongly affect SQ of vehicle interior noise and fidget to drivers and passengers [1][2][3][4][5]. Therefore, it is of great significance to study SQ diagnostic methods for PMSM in EVs.…”

Section: Introductionmentioning

confidence: 99%

Sound‐quality diagnosis method of permanent magnet synchronous motor for electric vehicles based on critical band analysis

Liu³

et al. 2019

IET Electric Power Applications

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As it has been widely and wrongly believed that noises at any frequency of permanent magnet synchronous motor (PMSM) are positively correlated with subjective annoyance, reducing sound pressure level or sound power level of PMSM is mostly regarded as the only optimisation goal of sound quality (SQ). This study presents a sensitive critical band (SCB) diagnostic method for SQ of PMSM for electric vehicles (EV). First, a new acquisition method of near-field noises without sound attenuation of PMSM was proposed and a neural network model for SQ evaluation was established to determine the specific operating condition with the worst SQ. Second, the band-pass filter of CB (BPFCB) and band-stop filter of CB (BSFCB) were designed to diagnose positive SCBs or negative SCBs in which noises were positively or negatively correlated with the subjective annoyance, respectively. Finally, the major excitation sources of abnormal noises in SCBs were diagnosed by using the analytical calculation. An 8-pole-48-slot PMSM was considered as a case study to testify to the effectiveness and practicability of the proposed method. It may provide a new route for the precise SQ optimisation of PMSM.

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Multiple target sound quality balance for hybrid electric powertrain noise

Abstract: Multiple target sound quality balance for hybrid electric powertrain noise.

Cited by 30 publications

References 67 publications

Optimal Control of Hybrid Electric Vehicles by Considering Engine and Tire/Road Noises

Optimal Control of Hybrid Electric Vehicles by Considering Engine and Tire/Road Noises

Overview of Sensitivity Analysis Methods Capabilities for Traction AC Machines in Electrified Vehicles

Sound‐quality diagnosis method of permanent magnet synchronous motor for electric vehicles based on critical band analysis

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