arXiv subjects

Lanre Sadeeq

Publications and source records attributed to Lanre Sadeeq.

6 recordsLinked to original sources

arXiv2024

Drivers of Electric Vehicle Adoption in Nigeria: An Extended UTAUT Framework Approach

Electric vehicles (EVs) represent a significant advancement in automotive technology, utilizing electricity as a power source instead of traditional fossil fuels, while incorporating sophisticated navigation and autopilot systems. These vehicles align with multiple Sustainable Development Goals (SDGs) by offering a more environmentally sustainable alternative to internal combustion engine vehicles (ICEVs). Despite their potential, the adoption of EVs in developing nations such as Nigeria remains constrained. This study expands the Unified Theory of Acceptance and Use of Technology (UTAUT) framework by incorporating key enablers, including poor infrastructure, affordability issues, and government support, within the broader category of facilitating conditions. Additionally, it examines factors such as trust, performance expectations, social influences, and network externalities to identify the primary determinants influencing Nigerian consumers' propensity to adopt EVs. Results show that the percentage increase of H6 (facilitating conditions - behavioral intentions) compared to H5 (network externalities - behavioral intentions) is approximately 32.35%, indicating that traditional drivers significantly influence individuals' willingness to purchase EVs and are particularly strong factors in adoption decisions. The paper concludes with a discussion of these findings and proposes strategies for future research to further explore the barriers and drivers of EV adoption in Nigeria.

physics.soc-ph↗

arXiv2024

Research on Enhancing C-V2X Communication via Danger-Aware Vehicular Networking

This paper presents a protocol that optimizes message dissemination in C-V2X technology, crucial for advancing intelligent transportation systems (ITS) aimed at enhancing road safety. As vehicle density and velocity rise, the volume of data requiring communication significantly increases. By considering the risk levels that vehicles encounter and using inter-vehicle proximity as a key indicator of potential hazards, the proposed protocol prioritizes communication, allowing vehicles facing higher risks to transmit their messages first. Our results show that this prioritization effectively reduces the number of concurrent transmissions, leading to improved performance metrics such as packet delivery ratio, throughput, latency, and lower probabilities of channel congestion and collision.

cs.NI↗

arXiv2024

Modeling and Simulation of a Fully Autonomous Electric Vehicle (AEV)

With continuous advancements in science and technology, there is increasing focus on environmental sustainability, leading to heightened interest in autonomous electric vehicles (AEVs). AEVs hold significant potential for enhancing electric mobility, energy efficiency, environmental preservation, and driving capabilities. They offer numerous advantages that could revolutionize transportation and urban lifestyles, notably by improving road safety through the reduction of human error, a leading cause of accidents. This paper presents a comprehensive simulation of an AEV by developing and integrating models for the driving system, battery, motor, transmission, and vehicle body within the MATLAB/Simulink environment. Each component is configured and interconnected to create a pure vehicle model. The simulation is conducted under UDDS cycle conditions to evaluate the vehicle's performance in speed maintenance, driving distance, acceleration capabilities, and battery state-of-charge (SoC) dynamics. The results demonstrate that the vehicle exhibits strong output characteristics. Furthermore, the driver model incorporates an energy brake recovery function, which, when set to a 50% recovery efficiency, increases the driving distance by 25% compared to a vehicle without this function.

eess.SY↗

arXiv2023

Drivers of Mobile Payment Acceptance:The Impact of Network Externalities in Nigeria

The rising popularity of mobile payments can be attributed to the widespread use of smartphones and their applications. Despite its potential to simplify our lives, its adoption in African countries has been limited. This paper aims to enhance our understanding of the critical factors that influence the acceptance of mobile payments in Nigeria by exploring the impact of network externalities in addition to conventional technology acceptance factors. It posits that performance expectancy, effort expectancy, social influence, trust, and network externality are the key drivers of mobile payment acceptance. The research findings indicate that while traditional drivers still have an impact on customer's willingness to adopt mobile payment, network externalities have the strongest influence. The paper provides recommendations for future research, although the results did not support the impact of effort expectancy.

cs.CY↗

arXiv2023

Dynamic Cell Modeling of Li-Ion Polymer Batteries for Precise SOC Estimation in Power-Needy Autonomous Electric Vehicles

This paper presents findings on dynamic cell modeling for state-of-charge (SOC) estimation in an autonomous electric vehicle (AEV). The studied cells are Lithium-Ion Polymer-based with a nominal capacity of around 8Ah, optimized for power-needy applications. The AEV operates in a harsh environment with rate requirements up to +/-25C and highly dynamic rate profiles, unlike portable-electronic applications with constant power output and fractional C rates. SOC estimation methods effective in portable electronics may not suffice for the AEV. Accurate SOC estimation necessitates a precise cell model. The proposed SOC estimation method utilizes a detailed Kalman-filtering approach. The cell model must include SOC as a state in the model state vector. Multiple cell models are presented, starting with a simple one employing "Coulomb counting" as the state equation and Shepherd's rule as the output equation, lacking prediction of cell relaxation dynamics. An improved model incorporates filter states to account for relaxation and other dynamics in closed-circuit cell voltage, yielding better performance. The best overall results are achieved with a method combining nonlinear autoregressive filtering and dynamic radial basis function networks. The paper includes lab test results comparing physical cells with model predictions. The most accurate models obtained have an RMS estimation error lower than the quantization noise floor expected in the battery-management-system design. Importantly, these models enable precise SOC estimation, allowing the vehicle controller to utilize the battery pack's full operating range without overcharging or undercharging concerns.

eess.SY↗

arXiv2023

An Approximate Feasibility Assessment of Electric Vehicles Adoption in Nigeria: Forecast 2030

Efforts toward building a sustainable future have underscored the importance of collective responsibility among state and non-state actors, corporations, and individuals to achieve climate goals. International initiatives, including the Sustainable Development Goals and the Paris Agreement, emphasize the need for immediate action from all stakeholders. This paper presents a feasibility assessment focused on the opportunities within Nigeria's Electric Vehicle Value Chain, aiming to enhance public understanding of the country's renewable energy sector. As petroleum currently fulfills over 95% of global transportation needs, energy companies must diversify their portfolios and integrate various renewable energy sources to transition toward a sustainable future. The shifting investor sentiment away from traditional fossil fuel industries further highlights the imperative of incorporating renewables. To facilitate significant progress in the renewable energy sector, it is vital to establish platforms that support the growth and diversification of industry players, with knowledge sharing playing a pivotal role. This feasibility assessment serves as an initial reference for individuals and businesses seeking technically and economically viable opportunities within the sector.

eess.SY↗