Batteries are known as the heart of electric vehicles (EV) as they are particularly important to EV’s safety performance and robustness. An international research team formed by Macao Polytechnic University, together with the University of Bologna in Italy and the University of California Los Angeles in the United States, puts forward interdisciplinary research to unlock the potential of EVs and their batteries, enhancing sustainable transport to facilitate clean mobility and energy efficiency.
UNLOCKS THE POTENTIAL OF ELECTRIC VEHICLES THROUGH INNOVATIVE TECHNOLOGY
Batteries are known as the heart of electric vehicles (EV) as they are particularly important to EV’s safety
performance and robustness. An international research team formed by Macao Polytechnic University
together with the University of Bologna in Italy and the University of California, Los Angeles in the United
States, advances interdisciplinary and innovative applied research to unlock the potential of EVs and their
batteries, enhancing sustainable transport to facilitate clean mobility and energy efficiency.
ELECTRIC VEHICLES BEING A TREND FOR NET-ZERO SOLUTION
The goal of net-zero emissions is to be achieved by 2050. As the world moves towards this vision,
sustainable transport has become an irresistible trend. EVs are gaining momentum as a promising solution
for reducing our carbon footprint, its development in the automotive industry being on a roll whilst its
safety being crucial. In that sense, regular “health checkups” are essential to ensure the health and
durability of the vehicles. Monitoring battery performance data continuously and efficiently is crucial for
maximising EV efficiency, longevity, and overall value, while real-time monitoring of EVs remains a
challenge.
Recent studies from MPU have introduced a revolutionary connected monitoring system that could change
the game. The system is equipped with machine-learning technology with high-efficient and low-cost
hardware design, performing real-time monitoring and abnormality reporting. The applied system has been
implemented and tested on a pure EV to acquire valid records for in-depth analysis. This breakthrough
technology could be the key to unlocking the full potential of EVs and accelerating the transition towards a
sustainable transportation system.
International research team advances interdisciplinary and innovative applied research
NEW TECHNOLOGY FOR EFFICIENT REAL-TIME MONITORING
The innovative connected monitoring system for EVs has been developed by the Faculty of Applied Sciences
of MPU, in collaboration with the University of Bologna and the University of California, Los Angeles. By
leveraging the On-Board Diagnostic Version II (OBD-II) EV data, the researchers analysed tens of thousands
of high-frequency data being collected through artificial intelligence and monitoring algorithms. Such data
include battery management system (BMS) and power usage statistics, being utilised for the estimation of
the battery state of health (SOH) and state of charge (SOC). This monitoring system continuously optimises
vehicle performance through efficient collection of number of variables and their collection frequency.
The robustness of EV batteries plays a critical role on vehicle reliability, safety and lifespan. Researchers
have conducted extensive field tests and data collection through real-world driving scenarios to seek
breakthroughs. With over 8 million records acquired from 500 hours of driving, the research team has
successfully identified hundreds of attributes that exhibit a strong correlation with battery degradation
using the system, thereby enhancing battery robustness.
New innovative connected monitoring system hardware design
INNOVATION TO BRING NEW OPPORTUNITIES IN INDUSTRY
Accurately estimating the health status of the EV battery poses a significant challenge due to the dynamic
nature of EV operation. The EV monitoring system makes it possible to harness the power of advanced big
data technology. A machine-learning model that can forecast the battery pack's average temperature
before overheating has been established, thus diagnosed potential risks. Manufacturers can better
understand vehicle performance, safeguard every journey, and enhance the driving experience. The success
of machine learning has accelerated the development of data-driven EV battery state estimation and
prediction. Ultimately, the optimal EV operations will be revealed and connected to the autonomous driving
system.
The increasing number of EVs is bringing new technologies into the market. This transformative technology
not only enables on-the-go monitoring but also has the potential to revolutionise the industry, paving the
way for new business models and services. The optimisation of EV monitoring and maintenance benefits its
performance and eco-efficiency, leading to reduction of carbon emissions more effectively, as well as
promoting sustainable development and global climate actions.
STUDENT-ORIENTED EDUCATION TO CULTIVATE RESEARCH
Committed to student-oriented education, MPU promotes interdisciplinary and applied research and
encourages students to involve in such research studies, working together with academic staff. Chou Ka Seng, Student of Doctor of Philosophy in Computer Applied Technology, plays a leading role in the study.
He studied for his bachelor’s degree in computing at MPU, and won the second prize in the Asia-Pacific
InnoServe Award with the research outcome “Cloud-based Portable Personal Real-time Environmental
Monitoring System”. The research project titled “Taxi Demand and Fare Prediction with Hybrid Models: Monitoring System. The research project titled Taxi Demand and Fare Prediction with Hybrid Models:
Enhancing Efficiency and User Experience in City Transportation”, which he recently published with his
teachers and classmates, made significant strides in the 2023 Huawei Ascend AI Innovation Competition's
Guangdong finals, earning them a silver medal.
From environment to EV monitoring, Chou has made significant strides in contributing to a sustainable
future in the unknown of science. “Through the wealth of research resources offered at MPU, I can delve
into cross-disciplinary and innovative topics during my studies, and exchange with global-renowned
researchers. These opportunities brought by science and technology allow me to contribute to the
development of smart cities.”
Researcher Chou Ka Seng
COLLABORATIVE INNOVATION TO BUILD A LIVABLE CITY
Matters about environmental protection and smart cities arouse global interest. In concert with the
construction of a liveable city as addressed by the Macao government policy, MPU has vigorously
developed patented products for international applications, among of those is Canarin, which is a cloudbased real-time environmental monitoring system. This system applicable to environment monitoring, in
cultural heritage protection in particular, is being used in the centuries-old Joanina Library of the University
of Coimbra in Portugal as well as the historic city of Bologna. Through its technology, environmental factors
such as PM2.5, UV radiation, atmospheric pressure, temperature and humidity are aggregated to provide
the necessary data for developing efficient environmental policy. This intelligent way of monitoring
environmental change is a leap forward in collaborative research in the industry.
In May 2023, MPU and the University of Coimbra in Portugal established a joint laboratory for advanced
technologies in smart cities, taking advantage of the cutting-edge technology and quality education of both
parties. The laboratory serves as a platform to conduct research on relevant disciplines including computer
science, AI and ICTs, nurturing top-tier talents the next generation of scientific research, promote
international academic and research exchanges, and help build a smart technology collaborative innovation
ecosystem. By attracting and nurturing top talents, MPU continues to achieve innovation and excellence,
creating a positive impact on society and the environment.