Frequency: Quarterly E- ISSN: 2230-8113 P- ISSN: 2249-1384 Abstracted/ Indexed in: Ulrich's International Periodical Directory, Google Scholar, SCIRUS, Genamics JournalSeek, getCITED, JOURNAL directory, EBSCO Information Services
Quarterly published in print and online "Inventi Impact: Auto" publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professionals. This multidisciplinary journal deals with all the aspects related to automobile technology with special emphasis on thermal engineering, flow analysis, structural analysis, modal analysis, control, vehicular electronics, mechatronis, electro-mechanical engineering, and optimum design methods etc.
This paper presents an analysis of THC, NMHC, CO, NOx and CO2 emissions during\ntesting of two bi-fuel vehicles, fuelled with petrol and gaseous fuels, on a chassis dynamometer\nin the context of the Euro 6 emissions requirements. The analyses were performed on one Euro\n5 bi-fuel vehicle (petrol/LPG) and one Euro 5 bi-fuel vehicle (petrol/CNG), both with SI engines\nequipped with MPI feeding systems operating in closed-loop control, typical three-way-catalysts\nand heated oxygen sensors. The vehicles had been adapted by their manufacturers for fuelling\nwith LPG or CNG by using additional special equipment mounted onto the existing petrol\nfuelling system. The vehicles tested featured multipoint gas injection systems. The aim of this\npaper was an analysis of the impact of the gaseous fuels on the exhaust emission in comparison\nto the emission of the vehicles fuelled with petrol.\nThe tests subject to the analyses presented here were performed in the Engine Research\nDepartment of BOSMAL Automotive Research and Development Institute Ltd in Bielsko-Biala,\nPoland, within a research programme investigating the influence of alternative fuels on exhaust\nemissions from light duty vehicle vehicles with spark-ignition and compression-ignition engines....
As the environmental pollution and energy crises are getting more and more remarkable, hybrid electric vehicles (HEVs) have taken on an accelerated pace in the world. A comprehensive overview of HEVs is presented in this paper, with the emphasis on configurations, main issues, and energy management strategies. Conclusions are discussed finally....
With the increasing demand of driving range of new energy vehicle (NEV), design optimization for energy efficiency of traction motors became more important. However, traction motor design is complex since multiple objectives should be satisfied, such as the required torque-speed operating range and package and thermal constraints. This dramatically increases the computation time of the design optimization process, while the additional energy efficiency objective of the whole driving cycle. This paper proposes an equivalent driving cycle points extraction method, based on energy consumption equivalence to facilitate the design optimization of traction motors. This paper presents necessary rules of multiobjective optimization methods, and then gives an optimization process and proves the effectiveness....
Vehicle tires are major components that are subjected to fatigue loading and their durability is of economic interest as it is directly related to the safety of property and the life of producers and consumers. Tire durability is also a major issue of energy conservation and environmental protection. This research aims to establish a reasonable fatigue evaluation and optimization method that effectively improves tire fatigue life. In the study, 11.00R20 and 12.00R20 all-steel radial truck tires were the research objects, and the guiding hypothesis for the research was that “the maximum area of the strain energy density gradient modulus corresponds to the initial failure area, its direction corresponds to the crack propagation direction, and also the maximum strain energy value is inversely proportional to the tire fatigue life....
The concept of focus point preview is proposed, and fractional calculus is introduced to driver model to build focus point preview\ndriver model. A formula for calculating lateral error is given, where the weight coefficients of fractional calculus are designed to\nimitate the driverâ??s focus preview property. The relationship between the speed and the order of fractional calculus is studied. A\ndriver-vehicle-road simulation system is set up to illustrate the performances of the proposed previewmodel.TheS-type road is used\nto test the model in the case of continuous small curvature turns and the Shanghai F1 track model is used as the case that automobile\npassing large curvature curve.Theperformances are evaluated fromtwo aspects: path tracking effect and vehicle dynamic responses.\nIt is concluded that, as the speed of the vehicle increases, the optimal order of fractional integral increases, so that the order is seen\nas the degree of driverâ??s attention. What is more, in the case of large curvature, the path tracking performance is improved by\nincreasing the corresponding fractional order. Simulations results also show that, compared with the single-point preview model,\nthe performances of the focus point preview model are better. On the one hand, the proposed driver model can be used to control\nthe vehicle steering and path tracking. On the other hand, fractional calculus is used to reveal the driver preview property and the\norder is given a certain physical meaning, which is conducive to the development of fractional calculus applications....
A joint vehicle-vehicle/vehicle-roadside communication protocol is proposed for cooperative collision avoiding in Vehicular Ad Hoc Networks (VANETs). In this protocol, emergency warning messages are simultaneously transmitted via Vehicle-to-Vehicle (V2V) and Vehicle-to-Roadside (V2R) communications in order to achieve multipath diversity routing. In addition, to further improve communication reliability and achieve low latency, a Multi-Channel (MC) technique based on two nonoverlapping channels for Vehicle-Vehicle (V2V) and V2R (or R2V) is proposed. The simulation results demonstrate that the proposed joint V2V/V2R (R2V) communication protocol is capable of improving the message delivery ratio and obtaining low latency, which are very important merits for highway traffic safety....
Purpose The paper concerns a transport system for pedestrian\r\nareas, based on a fleet of fully-automated Personal Intelligent\r\nAccessible Vehicles. The following services are provided:\r\ninstant access, open ended reservation and one way trips. All\r\nthese features provide users with high flexibility, but create a\r\nproblemof uneven distribution of vehicles among the stations.\r\nA fully vehicle based relocation strategy is proposed: when a\r\nrelocation is required vehicles automatically move among\r\nstations. The paper focuses on a methodology that allows to\r\nplan the proposed transport system for wide pedestrian areas.\r\nThe methodology aims to determine the fleet dimension and\r\nthe relocation strategy parameters which minimize the system\r\ncost. The system cost takes into account the level of service\r\nand the efficiency. Relocation strategy parameters define\r\nwhen and among which stations relocations should be\r\nperformed.\r\nMethods The problem faced is an optimisation problem\r\nwhere the search space is defined by all the possible fleet\r\ndimensions and relocation strategy parameters. As this cost\r\nfunction could be a multipeak function and since the search\r\nspace is discrete and extremely large, a random search algorithm\r\nhas been adopted. Because of the characteristics of the\r\nproblem, a parallel optimization techniquewas required.Given\r\na fleet dimension and relocation strategy parameters, a\r\nmicrosimulator models the activity of each user, as well as\r\nthe activity of each vehicle over time with the aim of finding\r\nthe level of service and the system efficiency.\r\nResults, conclusions and application The methodology has\r\nbeen applied to planning the proposed transport system for the\r\ncentre of Barreiro, Portugal...
Recent development in connected vehicle technology or equivalently vehicular ad hoc networks (VANET) has stimulated tremendous interests among decision makers, practitioners, and researchers due to the potential safety and mobility benefits provided by these technologies. A primary concern regarding the deployment of connected vehicle technology is the degree of market penetration required for effectiveness. This paper proposes a methodology to analyze the benefit of highway capacity gained from connected vehicle technology. To fulfill this purpose, a model incorporating the effects of connected vehicle technology on car following is formulated, building on which a rough estimate of the resulting capacity gain is derived. A simulation study is conducted to verify the model, and an illustrative example is provided to show the application of the methodology. This work provides decision makers and practitioners with a basic tool to understand the mobility benefit obtained from connected vehicle technology and how such benefit varies as market penetration changes....
Vehicular networks are the major ingredients of the envisioned Intelligent Transportation Systems (ITS) concept. An important component of ITS which is currently attracting wider research focus is road traffic monitoring. The actual approaches for traffic road monitoring are characterized by longer response times and are also subject to higher processing requirements and possess high deployment costs. In this paper, we propose a completely distributed and scalable mechanism for wireless sensor network-based road traffic monitoring. The approach relies on the distributed and bidirectional exchange of traffic information between the vehicles traversing the routes and a miniature cluster head and takes into consideration both the security and reliability of data communication. In addition, the communication between nodes is collision-free since the underlined data link layer protocol relies on a heuristic time multiplexed-based protocol. The performance analysis shows that the proposed mechanism usually outperforms other algorithms for different traffic densities....
Implementing successful aggregated charging strategies for electric vehicles to participate in the wholesale market requires an accurate battery model that can operate at scale while capturing critical battery dynamics. Existing models either lack precision or pose computational challenges for fleet-level coordination. To our knowledge, most of the literature widely adopts battery models that neglect critical battery polarization dynamics favoring scalability over accuracy, donated as constant power models (CPMs). Thus, this paper proposes a novel linear battery model (LBM) intended specifically for use in aggregated charging strategies. The LBM considers battery dynamics through a linear representation, addressing the limitations of existing models while maintaining scalability. The model dynamic behavior is evaluated for the four commonly used lithium-ion chemistries in EVs: lithium iron phosphate (LFP), nickel manganese cobalt (NMC), lithium manganese oxide (LMO), and nickel cobalt aluminum (NCA). The results showed that the LBM closely matches the high-fidelity Thevenin equivalent circuit model (Th-ECM) with substantially improved accuracy over the CPM, especially at higher charging rates. Finally, a case study was carried out for bidding in the wholesale energy market, which proves the ability of the model to scale....
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