Hybrid-electric system truth test: Energy analysis of Toyota Prius IV in real urban drive conditions

Orecchini, Fabio; Santiangeli, Adriano; Zuccari, F.

doi:10.1016/j.seta.2019.100573

Cited by 19 publications

(19 citation statements)

References 40 publications

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“…The WTW analysis is based on the scheme of Figure 1. The vehicle consumption is measured in real drive conditions [8,9]. According to the consumption of the energy vector used, the consumption of non-renewable primary energy consumption (TTW NRPEC) and GHG emission (TTW GHG) are calculated.…”

Section: Well-to-wheel (Wtw) Analysismentioning

confidence: 99%

“…The tests were conducted on the routes described above according to our test protocol [8] The test conditions were designed considering all the main variables affecting the energy performance, like driving attitude, circulation intensity, and auxiliaries energy request [18][19][20][21][22].…”

mentioning

confidence: 99%

“…The tests were conducted on the routes described above according to our test protocol [8] which includes:…”

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confidence: 99%

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Real Drive Well-to-Wheel Energy Analysis of Conventional and Electrified Car Powertrains

2020

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Reducing fuel consumption and global emissions in the automotive sector has been a main focus of vehicle technology development for long time. The most effective goal to achieve the overall sustainability objectives is to reduce the need for non-renewable and fossil resources. Five vehicles, two conventional ICE, two hybrid-electric, and one pure electric powertrain, are considered. Non-renewable primary energy consumption and CO2 emissions are calculated for each powertrain considered. All data—including calculated values—are based on the experimental measure of fuel consumption taken in real driving conditions. The data were recorded in an experimental campaign in Rome, Italy on urban, extra-urban streets, and highway on a total of 5400 km and 197 h of road acquisitions. The analysis shows significant reductions in non-renewable fossil fuel consumption and CO2 emissions of hybrid-electric powertrains compared to conventional ones (petrol and diesel engines). Furthermore, a supplementary and very interesting comparison analysis was made between the values of energy consumptions measured during the tests in real driving conditions and the values deriving from the NEDC and WLTP homologation cycles.

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Section: Well-to-wheel (Wtw) Analysismentioning

confidence: 99%

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confidence: 99%

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Real Drive Well-to-Wheel Energy Analysis of Conventional and Electrified Car Powertrains

2020

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“…The issues most addressed are those concerning the analysis and optimization of energy flow management in hybrid systems [3][4][5][6][7][8][9][10], the analysis of the performance of components in the hybrid drive system [11][12][13][14][15][16][17], sizing optimal components of the hybrid drive system [18] and the analysis of consumption and greenhouse gas emissions [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]. Furthermore, specific models have been developed for the simulation of hybrid drive systems [34], simulation of greenhouse gas emissions [35] and well to wheel (WTW) analysis [36], and other studies analyse how the reliability and reduction of environmental pollution positively influence users in the choice of electrified vehicle [37].…”

Section: Introductionmentioning

confidence: 99%

“…The driving tests, according to the protocol RDTT-Real Drive Truth Test [32,37], developed by the research group and validated-must be carried out with the co-presence on board of a driver and a researcher (responsible for supervising the test from the point of view of adherence to the planned route and correct driving style).…”

Section: Introductionmentioning

confidence: 99%

Real Drive Truth Test of the Toyota Yaris Hybrid 2020 and Energy Analysis Comparison with the 2017 Model

et al. 2021

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This paper presents the performance analysis of a latest-generation hybrid vehicle (Toyota Yaris 2020) with a testing campaign in real road conditions and a comparison with the previous model (Toyota Yaris 2017). The study was conducted by applying the Real Drive Truth Test protocol, developed by the research group, validated and spread to other full hybrid vehicles: Toyota Prius IV (2016) and Toyota Yaris 2017 (2017). In the case of the 2020 tests, the co-presence on board—deemed unsafe in the usual ways given the ongoing pandemic—was achieved through precise and sophisticated remote control. An on-board diagnostic computer, video transmission and recording equipment guarantee the virtual co-presence of a technical control room and a driver. Thus, several engineers can follow and monitor each vehicle via a 4G modem (installed in each vehicle), analysing data, route and driver behaviour in real-time, and therefore even in the presence of a single occupant in the car under test. The utmost attention has also been paid to adopting anti-COVID behaviours and safety standards: limited personal interactions, reduced co-presence in shared rooms (especially in the control room), vehicle sanitising between different drivers, computers and technicians and video technicians working once at a time. The comparison between the two subsequent vehicle models shows a significant improvement in the performance of the new generation Yaris, both in terms of operation in ZEV (zero-emission vehicle) mode (+15.3%) and in terms of consumption (−35.1%) and overall efficiency of the hybrid powertrain (+8.2%).

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Optimal stochastic energy management of electrical railway systems considering renewable energy resources' uncertainties and interactions with utility grid

Ehteshami

Hashemi‐Dezaki

Javadi

2022

Energy Science & Engineering

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Several studies have been reported for optimal operation of electrical railway systems (ERSs). However, the stochastic energy management of ERSs, including renewable energy resources (RERs), has received less attention. The RERs’ uncertainties might affect the ERSs. On the other hand, the calculation time of the Monte Carlo simulation (MCS)‐based approaches is an essential challenge, which should be solved, particularly in real‐time decisions and recursive optimization problems. Thus, it is crucial to study the ERSs' stochastic behaviors and uncertainties, including RERs. This paper tries to overcome the discussed concerns and challenges by proposing a novel ERS’s optimal stochastic energy management using clustering algorithms. In this paper, the backward scenario reduction algorithm has been used. In addition, regenerative braking energy (RBE) and energy management systems (ESSs) have been studied. Studying the impacts of changes in the number of passengers on the optimized operation of ERSs and investigating the interaction between the utility grid and the ERS are other contributions of this research. The proposed method is applied to an actual test system of Tehran Urban and Suburban Railway Operation Company (TUSROC). Test results are validated by comparing with available MCS‐based methods. Simulation results illustrate the accuracy and computation time advantages of the proposed method. Simulation results illustrate that <0.6% inaccuracy appears in the proposed method, while it would be 500 times faster than MCS‐based ones. The comparative test results show the advantages of the introduced method.

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Hybrid-electric system truth test: Energy analysis of Toyota Prius IV in real urban drive conditions

Cited by 19 publications

References 40 publications

Real Drive Well-to-Wheel Energy Analysis of Conventional and Electrified Car Powertrains

Real Drive Well-to-Wheel Energy Analysis of Conventional and Electrified Car Powertrains

Real Drive Truth Test of the Toyota Yaris Hybrid 2020 and Energy Analysis Comparison with the 2017 Model

Optimal stochastic energy management of electrical railway systems considering renewable energy resources' uncertainties and interactions with utility grid

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