Qatar Environment and Energy Research Institute (Qeeri), part of Hamad Bin Khalifa University (HBKU), and Mowasalat (Karwa), Qatar’s public transport company, have kicked off the Electric Bus lithium-ion battery cell testing project.
The project supports the research industry in exploring and experimenting with actual batteries that are being used in Mowasalat operations. Mowasalat began electrifying its public transit routes earlier this year and is set to operate a fleet of eco-friendly e-buses embedded in Qatar’s public transit system during the FIFA World Cup 2022.
The joint project will span from battery testing to various technical and operational aspects of the e-bus system. The first step is to develop an understanding and analysis of challenges described in similar international case studies in the field of bus electrification and techniques for problem-solving and decision-making.
Qeeri scientists will also develop a safety risk assessment matrix based on scientific experience, as a structured approach to assessing the likelihood and severity of identified hazards and their consequences, while determining mitigation actions. Additionally, Qeeri will study battery reliability aspects at cell level, identifying cycling and calendar aging, and developing models to optimise battery operations and to mitigate damage.
Ahmed al-Obaidly, Mowasalat (Karwa) COO, said: “Mowasalat (Karwa) has invested heavily in fulfilling a commitment to providing modern, eco-friendly transport solutions using the latest technological innovation. We are delighted to now have the expertise of a national research entity like Qeeri to conduct such an in-depth scientific study. The results of our efforts will have a significant role in Qatar’s sustainable development legacy.”
Mowasalat and its team of electrical engineers will contribute mobility and other relevant data as well as battery cells from an actual e-bus and electric car to support the charging station tests operated by Qeeri for its own research projects.
Dr Marc Vermeersch, Qeeri executive director, said: “Sustainable, green mobility, with its shift to eco-friendly transportation systems, has an important role in Qatar’s long-term sustainability strategy. We are therefore honoured that the expertise of Qeeri’s scientists and our state-of-the-art facilities will contribute to Mowasalat’s electric bus fleet optimisation. By supporting the efforts of such an important stakeholder, Qeeri aligns our research and innovation with the country’s target of having fully eco-friendly public transportation by 2030.”
Commenting on the project, Dr Veronica Bermudez, senior research director at Qeeri’s Energy Centre, said: “We are developing innovative technologies for designing an EV charging infrastructure with integrated energy storage system and simultaneous utilisation of local solar photovoltaic energy resources, towards minimising the adverse effect on Qatar’s power grid. We aim to address the fundamental challenges in grid integration of EV charging infrastructure in Qatar by exploiting the synergy between innovative autonomous control schemes, real-time grid modelling, deep learning-based methods for optimal charging or discharging scenarios.”
The project supports the research industry in exploring and experimenting with actual batteries that are being used in Mowasalat operations. Mowasalat began electrifying its public transit routes earlier this year and is set to operate a fleet of eco-friendly e-buses embedded in Qatar’s public transit system during the FIFA World Cup 2022.
The joint project will span from battery testing to various technical and operational aspects of the e-bus system. The first step is to develop an understanding and analysis of challenges described in similar international case studies in the field of bus electrification and techniques for problem-solving and decision-making.
Qeeri scientists will also develop a safety risk assessment matrix based on scientific experience, as a structured approach to assessing the likelihood and severity of identified hazards and their consequences, while determining mitigation actions. Additionally, Qeeri will study battery reliability aspects at cell level, identifying cycling and calendar aging, and developing models to optimise battery operations and to mitigate damage.
Ahmed al-Obaidly, Mowasalat (Karwa) COO, said: “Mowasalat (Karwa) has invested heavily in fulfilling a commitment to providing modern, eco-friendly transport solutions using the latest technological innovation. We are delighted to now have the expertise of a national research entity like Qeeri to conduct such an in-depth scientific study. The results of our efforts will have a significant role in Qatar’s sustainable development legacy.”
Mowasalat and its team of electrical engineers will contribute mobility and other relevant data as well as battery cells from an actual e-bus and electric car to support the charging station tests operated by Qeeri for its own research projects.
Dr Marc Vermeersch, Qeeri executive director, said: “Sustainable, green mobility, with its shift to eco-friendly transportation systems, has an important role in Qatar’s long-term sustainability strategy. We are therefore honoured that the expertise of Qeeri’s scientists and our state-of-the-art facilities will contribute to Mowasalat’s electric bus fleet optimisation. By supporting the efforts of such an important stakeholder, Qeeri aligns our research and innovation with the country’s target of having fully eco-friendly public transportation by 2030.”
Commenting on the project, Dr Veronica Bermudez, senior research director at Qeeri’s Energy Centre, said: “We are developing innovative technologies for designing an EV charging infrastructure with integrated energy storage system and simultaneous utilisation of local solar photovoltaic energy resources, towards minimising the adverse effect on Qatar’s power grid. We aim to address the fundamental challenges in grid integration of EV charging infrastructure in Qatar by exploiting the synergy between innovative autonomous control schemes, real-time grid modelling, deep learning-based methods for optimal charging or discharging scenarios.”