Jonathan Louden

Jonathan Louden

20222022

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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.

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

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

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