Ageing of Electric Vehicle Battery considering Mobility Needs for Urban Areas

Yagües-Gomà, Maurici; Olivella‐Rosell, Pol; Villafáfila‐Robles, Roberto; Sumper, Andreas

doi:10.24084/repqj12.570

Cited by 4 publications

(5 citation statements)

References 9 publications

(13 reference statements)

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“…Such an idea was mainly inspired from the product function improvement described in [ 45 ]. Figure 17 shows rules modelled in the Protégé rule tab that correspond to the above-mentioned processes.…”

Section: Discussionmentioning

confidence: 99%

“…For that purpose, the upper ontology was specialized into a domain-specific ontology of electric car and related services. The electric car product subsystems presented in [ 45 ] were the main reference of our domain-specific model. Among four subsystems of the electric car, i.e., vehicle sub-system, electronics on-board sub-system, infrastructure sub-system and energy sub-system, this paper focuses more on the ontology model of “vehicle sub-system” and “energy sub-system”: the car with the other structure for the former and the electric battery for the latter subject.…”

Section: Electric Car and Battery Lifecycle: Case Study On Domain-mentioning

confidence: 99%

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Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Yoo

Grozel

Kiritsis

2016

Sensors

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This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messaging Interface (O-MI) and Open Data Format (O-DF), which ensures data communication.(1) Background: Based on an existing product lifecycle management (PLM) methodology, we enhanced the ontology model for the purpose of integrating efficiently the product-service ontology model that was newly developed; (2) Methods: The IoT message transfer layer is vertically integrated into a semantic knowledge framework inside which a Semantic Info-Node Agent (SINA) uses the message format as a common protocol of product-service lifecycle data transfer; (3) Results: The product-service ontology model facilitates information retrieval and knowledge extraction during the product lifecycle, while making more information available for the sake of service business creation. The vertical integration of IoT message transfer, encompassing all semantic layers, helps achieve a more flexible and modular approach to knowledge sharing in an IoT environment; (4) Contribution: A semantic data annotation applied to IoT can contribute to enhancing collected data types, which entails a richer knowledge extraction. The ontology-based PLM model enables as well the horizontal integration of heterogeneous PLM data while breaking traditional vertical information silos; (5) Conclusion: The framework was applied to a fictive case study with an electric car service for the purpose of demonstration. For the purpose of demonstrating the feasibility of the approach, the semantic model is implemented in Sesame APIs, which play the role of an Internet-connected Resource Description Framework (RDF) database.

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Section: Discussionmentioning

confidence: 99%

Section: Electric Car and Battery Lifecycle: Case Study On Domain-mentioning

confidence: 99%

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Yoo

Grozel

Kiritsis

2016

Sensors

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“…The beginning of the 20th century is characterized by the ubiquity of electric vehicles and cars with a steam engine. In 1900, about half of the cars in the United States were steam-powered, and in particular, in New York, about 70 thousand electric cars worked in taxis [6,7].…”

Section: Cycles Of Movement Of An Electric Vehicle For Mathematical M...mentioning

confidence: 99%

“…In addition, modern batteries allow a deeper charge and discharge. If for a nickelmetal hydride battery, the optimal charging range is from 40 to 60%, that is, only 20% of the total capacity, then for a lithium-ion battery it is 2.5 times greater: from 25 to 75% [6].…”

mentioning

confidence: 99%

Mathematical Modeling the Performance of an Electric Vehicle Considering Various Driving Cycles

et al. 2023

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Currently, the estimated range of an electric vehicle is a variable value. The assessment of this power reserve is possible by various methods, and the results of the assessment by these methods will be quite different. Thus, building a model based on these cycles is an extremely important task for manufacturers of electric vehicles. In this paper, a simulation model was developed to determine the range of an electric vehicle by cycles of movement. A mathematical model was created to study the power reserve of an electric vehicle, taking into account four driving cycles, in which the lengths of cycles and the forces acting on the electric vehicle are determined; the calculation of the forces of resistance to movement was carried out taking into account the efficiency of the electric motor; thus, the energy consumption of an electric vehicle is determined. The modeling of the study of motion cycles on the presented model was carried out. The mathematical evaluation of battery life was based on simulation results. Simulation modeling of an electric vehicle in the MATLAB Simulink software environment was performed. An assessment of the power reserve of the developed electric vehicle was completed. The power reserve was estimated using the four most common driving cycles—NEDC, WLTC, JC08, US06. Studies have shown that the highest speed of the presented US06 cycle provides the shortest range of an electric vehicle. The JC08 and NEDC cycles have similar developed speeds in urban conditions, while in NEDC there is a phase of out-of-town traffic; therefore, due to the higher speed, the electric vehicle covers a greater distance in equal time compared to JC08. At the same time, the NEDC cycle is the least dynamic and the acceleration values do not exceed 1 m/s2. Low dynamics allow for a longer range of an electric vehicle; however, the actual urban operation of an electric vehicle requires more dynamics. The cycles of movement presented in the article provide a sufficient variety and variability of the load of an electric vehicle and its battery over a wide range, which made it possible to conduct effective studies of the energy consumed, taking into account the recovery of electricity to the battery in a wide range of loads. It was determined that frequent braking, taking into account operation including in urban traffic, provides a significant return of electricity to the battery.

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“…final electrical equipment. Due to the fact that the level of development of electronics is growing, new electronic components appear, as well as new opportunities for creating power electrical equipment with improved characteristics [4,5].…”

Section: Introductionmentioning

confidence: 99%

Degradation of Lithium-Ion Batteries in an Electric Transport Complex

et al. 2021

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The article provides an overview and comparative analysis of various types of batteries, including the most modern type—lithium-ion batteries. Currently, lithium-ion batteries (LIB) are widely used in electrical complexes and systems, including as a traction battery for electric vehicles. Increasing the service life of the storage devices used today is an important scientific and technical problem due to their rapid wear and tear and high cost. This article discusses the main approaches and methods for researching the LIB resource. First of all, a detailed analysis of the causes of degradation was carried out and the processes occurring in lithium-ion batteries during charging, discharging, resting and difficult operating conditions were established. Then, the main factors influencing the service life are determined: charging and discharging currents, self-discharge current, temperature, number of cycles, discharge depth, operating range of charge level, etc. when simulating a real motion process. The work considers the battery management systems (BMS) that take into account and compensate for the influence of the factors considered. In the conclusion, the positive and negative characteristics of the presented methods of scientific research of the residual life of LIB are given and recommendations are given for the choice of practical solutions to engineers and designers of batteries. The work also analyzed various operating cycles of electric transport, including heavy forced modes, extreme operating modes (when the amount of discharge and discharge of batteries is greater than the nominal value) and their effect on the degradation of lithium-ion batteries.

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Ageing of Electric Vehicle Battery considering Mobility Needs for Urban Areas

Cited by 4 publications

References 9 publications

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Mathematical Modeling the Performance of an Electric Vehicle Considering Various Driving Cycles

Degradation of Lithium-Ion Batteries in an Electric Transport Complex

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