Personal profile
Research Focus
Enabling Predictive Control of Electric Bus Vehicles (PhD)
Model predictive control (MPC) has emerged as a potential candidate solution to the energy management problem for electric vehicles in recent years, however there has been relatively limited research into MPC integration into battery electric bus architectures. This project aims to build on previous research into energy management strategies for electric vehicles to understand the scale of opportunity presented by MPC-based strategies if they are introduced into battery electric bus powertrains.
Keyworks:
Bus, Public Transport, Electrification, Battery, Hydrogen Fuel Cells, Hydrogen, Energy, Energy Management, Control, Control System, Model Predictive Control, MPC, Optimisation, Drive Cycle, Drive Cycle Prediction, W-Tech.
Keywords
- TJ Mechanical engineering and machinery
- Bus
- Public Transport
- Electrification
- Battery
- Hydrogen Fuel Cells
- Hydrogen
- Energy
- Energy Management
- Control
- Control System
- Model Predictive Control
- MPC
- Optimisation
- Drive Cycle
- Drive Cycle Prediction
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Research output
- 1 Paper
-
Development of Next Generation Fuel Cell Bus: Investigation of Configuration Impact and Control Strategy Development
Zhang, Y., Blades, L., Early, J., Cunningham, G., Harris, A. & Louden, J., 29 Mar 2022.Research output: Contribution to conference › Paper › peer-review