This project examines the evolution of Formula 1 powertrain regulations from 2014 to 2026, focusing on performance, efficiency, and sustainability. Motivated by my passion for motorsport and engineering, I undertook this research to understand how regulatory changes impact vehicle dynamics, race strategy, and environmental goals. Using MATLAB/Simulink, I developed numerical models to compare the 2014 and 2026 power units, integrating a longitudinal vehicle dynamics model for track performance analysis. This project was conducted as part of my mechanical engineering degree at Lancaster University.
The primary aim of this study was to evaluate the technical and environmental impact of F1’s regulatory changes while assessing their influence on innovation and efficiency. Key objectives included:
Performance Modelling: Simulating power output, energy recovery, and fuel consumption under both regulations.
Lap Time Optimisation: Implementing Model Predictive Control (MPC) to optimize lap times based on real-world circuit data.
Sustainability Assessment: Analyzing F1’s transition to fully sustainable fuels, the removal of MGU-H for cost and efficiency reasons, and its impact on hybrid powertrain design.
Innovation Impact: Studying how new regulations encourage advancements in energy recovery, battery technology, and aerodynamics for road car applications.
The study revealed that while the 2026 regulations aim to make F1 more cost-effective and sustainable, they introduce new engineering challenges. Removing MGU-H reduces energy recovery efficiency, requiring better battery energy deployment strategies. However, the introduction of 100% sustainable fuels and increased electrical power deployment aligns with F1’s commitment to reducing carbon emissions and improving energy efficiency.
Simulations showed that lap times could be optimized through advanced control strategies, compensating for regulatory limitations. Additionally, the research highlighted how innovations driven by F1 regulations, such as more efficient hybrid systems and sustainable fuel technologies, could have real-world applications in the automotive industry. The findings contribute to ongoing discussions about F1’s role in promoting sustainability while maintaining high-performance racing.
Click on my paper below for an interesting read for yourself.
This project focused on designing and developing an autonomous robotic system capable of navigation, obstacle detection, and object manipulation. Conducted as part of my mechanical engineering degree, it involved mechanical design, control system development, and sensor integration. The goal was to create a robot that could efficiently operate in dynamic environments using ROS (Robot Operating System), Python, and MATLAB for simulation and control optimisation.
The project aimed to integrate multiple engineering disciplines to enhance robotic efficiency and adaptability. Key objectives included:
Structural and Motion Design: Optimizing the robot’s mobility and stability for effective task execution.
Autonomous Navigation: Implementing LiDAR, ultrasonic sensors, and computer vision for real-time obstacle detection.
Control System Optimisation: Utilising PID and Model Predictive Control (MPC) for smooth and precise motion.
Task Execution: Designing an articulated robotic arm for object manipulation with inverse kinematics.
The project successfully demonstrated autonomous navigation, real-time path planning, and object manipulation. Sensor fusion significantly improved obstacle avoidance accuracy, while control algorithms enhanced movement precision and energy efficiency. The research also highlighted potential applications in automated manufacturing and logistics.
This project strengthened my expertise in robotics, control systems, and multidisciplinary engineering, reinforcing my ability to integrate mechanical, electrical, and software elements into a functional system.
As part of a business development challenge, my team and I developed an innovative bubble tea concept tailored to different target audiences. The project required market research, product development, financial planning, and a strategic pitch to a panel of judges. Our idea focused on customisable bubble tea blends with ingredients designed to appeal to distinct consumer segments, including health-conscious individuals, students, and working professionals.
The goal was to create a scalable and profitable business model while addressing consumer preferences and market trends. Key objectives included:
Identifying market gaps and understanding customer demand through research and surveys.
Developing unique bubble tea variations, such as high-protein blends for gym-goers, herbal-infused options for wellness enthusiasts, and caffeine-boosted teas for professionals.
Structuring a competitive pricing strategy and cost-effective sourcing for ingredients.
Creating a compelling brand identity and marketing plan to attract and retain customers.
Outlining a potential investment strategy to secure funding for product launch and expansion.
Our team placed 2nd in the competition, receiving recognition for our innovative approach, strategic marketing, and clear financial projections. Judges highlighted the investment potential of our concept, acknowledging its strong market viability. This challenge provided hands-on experience in market analysis, product development, teamwork, and persuasive pitching, reinforcing my ability to identify business opportunities and present viable strategies to stakeholders.