Research on Regenerative Braking of Pure Electric Mining Dump Truck

Zhang, Wei; Yang, Jian; Zhang, Wenming; Ma, Fei

doi:10.3390/wevj10020039

Cited by 16 publications

(11 citation statements)

References 9 publications

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“…(Panagiotidis et al, 2018). The regenerative ratio is higher during high acceleration and during the lower speed of vehicle, regenerative does not work and friction brake takes place (Zhang et al, 2019). In this research, the new proposed braking strategy introduces average speed due to the most frequent speed implement during urban driving as the highest ratio of regenerative braking instead of using the ADVISOR default technique design that introduces the highest ratio of regenerative braking at standard speed which is 60 km/h.…”

Section: Figure 2 Motor Map Efficiencymentioning

confidence: 97%

Integrated Braking Force Distribution for Electric Vehicle Regenerative Braking System

Ghazali¹,

Hassan²,

Radzi³

et al. 2020

JST

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The automotive industry has made a significant contribution to everyday life by fulfilling society’s mobility needs. Traditionally, electric vehicles (EV) were introduced as an alternative to the traditional internal combustion engine (ICE) to reduce the emission, which improves air quality. The regenerative braking system (RBS) technology is increasing rapidly as an alternative energy-saving solution instead of using the conventional fossil fuel process. In addition, conventional braking creates energy loss because it produces unnecessary heat during braking. Therefore, (RBS) was deliberately designed to solve these drawbacks. Several researchers have found an efficient way to recover regenerative energy, but do not pay enough attention to state-of-the-art (SOC), motor performance and overall performance. This paper designs a new braking force distribution that introduces integrated braking by combining the default ADVISOR and the new parallel braking distribution to improve the SOC battery for three driving cycles. The design of the braking part was based on the braking force distribution of vehicle speed, consisting mainly of friction and regenerative braking ratio allocation in parallel form. The suggested delivery method is evaluated by simulation and shows that the overall performance and battery life are increased. The proposed method was experimentally evaluated using ADVISOR Matlab for the efficiency and final state of the battery.

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Section: Figure 2 Motor Map Efficiencymentioning

confidence: 97%

Integrated Braking Force Distribution for Electric Vehicle Regenerative Braking System

Ghazali¹,

Hassan²,

Radzi³

et al. 2020

JST

View full text Add to dashboard Cite

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“…To facilitate modeling, the three-phase Cartesian coordinate system is converted to a rotating d q coordinate system through Clarke and Park transformations (Zhang, 2020).…”

Section: Mathematical Equation Of Permanent Magnet Synchronous Motormentioning

confidence: 99%

New design of electric vehicle motor based on high-strength soft magnetic materials

Wang²,

Zhang³

et al. 2022

COMPEL

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Purpose The purpose of the paper is to make a high speed motor based on the characteristics of high strength silicon steel. With the higher requirements for torque density and power density of the driving system of electric vehicles (EV), conventional magnetic materials have been difficult to meet the demands in the future. In this paper, a new type of high-strength non-grain-oriented (NGO)material is tested. Design/methodology/approach Through analyzing the characteristic of high strength silicon steel, it is applied to the rotor part of a high-speed motor. A topological optimization is applied to achieve higher power density and higher efficiency of the motor. Findings The feasibility of the scheme was analyzed by the finite element method, and a prototype was also fabricated to verify the analysis. Originality/value In this paper, the characteristics of new soft magnetic materials as a breakthrough to manufacture a new generation of high-performance electrical machine (EM) are discussed. Consequently, the presented work greatly facilitates further explorations and guides the innovative application of soft magnetic materials and the iterative optimization of motor structure.

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“…An interesting manuscript "The effect of perceived risk on the purchase intention of electric vehicles: an extension to the technology acceptance model" (Thilina, 2019) seeks to analyze significant market penetration for the sale of electric vehicles accompanied by the analysis (Mo, 2018) of life-cycle cost of ownership including congestion and environmental impacts (Tu, 2019), (Rajeev, et al, 2019), (Hao, 2017), (Philipsen, et al, 2019), (Lopez-Arboleda, et al, 2019), (Almeida, et al, 2019). Considerable emphasis have been placed on improvements in vehicle charging (Wolbertus, et al, 2019) amongst many other underlying technological areas seeking to improve the value proposition to potential buyers (Jager, et al, 2019), , , (Minnerup, et al, 2019), (Muller, 2019) and also make recommendations in both technology (Zha, et al, 2019), , (Zha, et al, 2019), , (Jiyan, et al, 2019), (Pier, et al, 2019), (Agaton, et al, 2019), , (Watanabe, et al, 2019), (Kusaka, et al, 2019), (Zhang, W., et al, 2019), , (Mayer, et al, 2019), (Ricciardi, et al, 2019), , (Yu, Z., et al, 2019), (Senda, et al, 2019), (Marquez-Fernandez, et al, 2019), (Wu, D., et al, 2019), (Wang, H., et al, 2019), (Obayashi, et al, 2019), (Gong, et al, 2019), (Vermeulen, et al, 2019), (Jia, J., et al, 2019), (Li, Q., et al, 2019) and policy incentives (Zhang, X., et al, 2019), (Ortar, et al, 2019), culminating in charging strategies to influence the obvious trade-off between gasoline prices and charging availability , (Wolbertus, et al, 2019),…”

Section: Materials (Literature Review)mentioning

confidence: 99%

Electric Vehicle Sales Catastrophe Averted (?)

Sands¹

2020

MAS

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The literature indicates catastrophic potential for electric vehicles around the year 2019. Amidst the predicted time, this research revisits the prequel analysis with state-of-the-art deterministic artificial intelligence methodologies to posit the potential for catastrophe in the upcoming year. The methodology has proven effective with motion mechanics, electrodynamics, and even financial analysis of sales date in the prequels, since the model commences with simple regression for mathematical model formulation asserting the certainty equivalence principle, followed by derivative modeling and eventually catastrophe analysis of the derivative models. The prequel analysis paradigms are retained in this sequel utilizing both monthly and cumulative sales data in simple least squares algorithms for predictive curve fitting to establish context and help correctly model the mathematical degree of the data. Extrapolation by forward time-propagation established predictions for models of various mathematical degrees (again merely for context). Next, catastrophe analysis (of the derivative form) revealed stable and unstable equilibrium points and then parametric variation was induced to evaluate the resulting behavior of the derivative models, highlighting the importance of the coefficient of the second order term (the acceleration or change of rate of sales as a forcing function). While the forcing function typically embodies both gasoline prices and vehicle charging proliferation, the relative stability of gas prices together with factors such as vehicle-to-grid elevate charging-station proliferation as the primary forcing function of slow-dynamics in catastrophe analysis. This brief manuscript revisits the prequel research to test the validity of those conclusions and with the benefit of the passage of time, reveal how well the mathematical modeling predicted real behavior. The main finding is the predicted potential catastrophe is less likely to occur and recommendations are made to insure catastrophe is averted.

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Research on Regenerative Braking of Pure Electric Mining Dump Truck

Cited by 16 publications

References 9 publications

Integrated Braking Force Distribution for Electric Vehicle Regenerative Braking System

Integrated Braking Force Distribution for Electric Vehicle Regenerative Braking System

New design of electric vehicle motor based on high-strength soft magnetic materials

Electric Vehicle Sales Catastrophe Averted (?)

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