Dr Jia Junbo is a lead scientist in Clean Energy Research Centre (CERC), Temasek Polytechnic. He joined Temasek Polytechnic in 2001 as a lecturer and in 2010, he became a senior lecturer. His research fields include power electronics, Li-ion battery system modelling and control, as well as energy management system for underwater device, forklift, electric vehicle and micro-grid. He was the project leader for High Performance Lithium-Ion Battery Power System for Long Endurance Deep Water Operation project (SMI Grant Call, 2013-2016), The Development of Smart Power System for Mission Critical Applications project (MOE INNOVATION Grant Call, 2016-2018), and The Development of Smart Battery Power System for Underwater Inspection System project (2017 -2019). He is currently the consultant for the project on Development of Next Generation Lithium-Ion Energy Storage System (ESS) Solution & Smart Distributed ESS Management Application for Fire Hazard Mitigation under Hot-Humid Climatic Condition (2020-2022).
As an accomplished scientist, Dr Jia Junbo published more than 50 papers. He is also a member of IEEE. His noteworthy education background include receiving his B.Eng. degree in 1988, the M.Eng. degree in 1996, both from electrical engineering in South West Jiaotong University, China, and Ph.D. degree in 2011 from Nanyang Technological University, Singapore.
His past working experience involved the development of the testing system based on database technology for electric railway substation testing coaches for Chengdu and Kunming, China Electric Railway Bureau. In 1996, he was a lecturer, and in 1998, he became an Associate Professor in Southwest Jiaotong University, China.
A large format lithium-ion battery stack power system is designed for long-endurance tasks using electric-propelled underwater robotic vehicles (URVs): manned, remotely-operated and autonomous for various deep-water applications. The large format lithium-ion battery stacks are chosen for their high energy density, modularity and ready availability. To increase their output power rating, many battery stacks can be connected in series and/or parallel in an enclosure. We propose a smart battery management system (BMS) with high efficiency active cell balancing technology, intelligent self-learning battery state of charge (SOC) and state of health (SOH) estimation for the lithium-ion battery to help the deep-sea company for their emergency using.
The Deep-Water Lithium-ion Battery Power Pack developed is a pressure-tolerant lithium-ion battery system that provides a reliable, long-endurance and longer lifetime power solution for underwater systems. The battery electronics include a smart battery management system (SBMS) with high efficiency active cell balancing technology, intelligent self-learning battery state of charge (SOC) and state of health (SOH) prediction for the lithium-ion battery. The active cell balancing technology will lead to 15% longer endurance and lengthens the lifetime of the battery for underwater applications.
- Energy - Prototype Build
The Smart UPS system features a fully-modular system which is scalable and portable based on user’s need. It is a portable and modular power system consisting of a master control unit, accompanied by slave battery power units. The master control unit has a touch-screen LCD control panel, power inverter, battery charger and telemetry system. The slave battery power units consist of the battery pack, battery management system and active battery balancing technology.
This system targets consumers and companies interested in portable AC power via lithium-ion battery. It comprises a single-phase modular system controlled by a master control unit where the battery module can be added. In this smart UPS, an intelligent battery management system (BMS) based on micro-controller technology is designed and developed. The system consists of monitoring, protection and communication subsystems. The BMS will incorporate innovative AI algorithms for active cell balancing, as well as real-time system monitoring and the operation status of the battery stack. Essentially, the BMS will be able to:
- Measures and stores all cell voltages, currents and temperatures
- Evaluates and analyses data collected during the operation of BMS
- Improves battery endurance, reliability and lengthens the battery lifetime via active cell balancing
- Keeps track of charges in and out of the battery, cycle count and production number
- Topology : Standby, line-interactive
- Output voltage : 230Vac
- Output current : 16A
- Capacity : 4/ 6kWh (per battery power unit)
- Energy - Prototype Build