M. Nizam

Technical feasibility for technology commercialization of battery lithium ion

Sebelas Maret University (UNS) as a member of a consortium team for developing national electric vehicle (Mobil Listrik Nasional, hereinafter referred to as Molina), is developing a lithium battery technology. This technology is prepared as the main energy storage in electric vehicle (EV), which are being developed by the team, which is called SmarT EV. Currently, the technology is in the technology development stage for commercialized, with the value of the technology readiness levels (TRLs) is on 6 (Prototype demonstrated in field systems). Intended outcome of this development stage is the technology can be commercialized in a university spin-off scheme, with the TRLs - value on 9 (ready to commercialize). In an effort to continue the process of commercialization that has been done, this study develops the technical feasibility based on Goldsmith commercialization model. By mapping the correlation of technical feasibility and the TRLs concept, assessing the feasibility of the technology can be made with minimum value is equal to 80% of the fulfillment of the indicators for each stage of TRLs. As a result, the technical feasibility can meet the 7th level of TRLs.

Comparation of the slotless brushless DC motor (BLDC) and slotted BLDC using 2D modeling

The advantages and disadvantages of slotted brushless DC motor (BLDC) and slotless BLDC make the user confused when they want to choose BLDC motors. The objective of this research was to describe the characteristic of slotted BLDC and slotless BLDC using 2D finite element method. Result of this research showed that slotted BLDC has higher torque than slotless BLDC. The power produced by slotted and slotless BLDC were almost the same, while the speed of the slotless BLDC was 10 times higher than the speed of slotted BLDC. Slotted BLDC produced more ripple torque than slotless BLDC, thus it made slotted BLDC had higher vibration than slotless BLDC.

Development of Wireless Battery Monitoring for electric vehicle

A Wireless Battery Monitoring System (WBMS) for electric vehicle has been developed for monitoring voltage, current and temperature of battery. This system consists of hardwares (sensors, a microcontroller, a bluetooth module, an Android smartphone) and software. It was designed on a low cost microcontroller ATMEGA 328 (Arduino UNO). Voltage, current and temperature data are transfered to microcontroller, then data of battery is transfered using bluetooth communication to display. In this research, data of battery monitoring are displayed on Personal Computer (PC) with LabVIEW programme and android smartphone. The monitoring system was able to show real-time data of voltage, current and temperature and display data on android smartphone and PC simultaneously.

A cost estimation model to assess the feasibility of Li-Ion battery development based on targeted cost by market approach

Sebelas Maret University (UNS) as a member of a consortium team for developing national electric vehicle, is developing a lithium battery for energy storage in electric vehicle (EV). Currently, the technology is in the technology development phase for commercialized under the university spin off scheme. In the technology development phase, according to the Goldsmith commercialization model, price identification should be studied before proceeding to the next stage of commercialization. Therefore, this study develops a cost estimation model to assess the feasibility of developed product based on the suitability of the targeted cost by market with the estimated cost. Research approaches to develop the model is parametric method based on activity-based costing. This approach is made to enhance accuracy of the cost estimation. By providing a numerical example into the model, this study can predict the cost of lithium ion battery cell (30Ah). The feasibility assessment carried out by calculating the targeted cost from desire profit and targeted price of market. The targeted cost is calculated as the cut off value to assess the feasibility of the developed product. The developed product feasible, if the estimated cost is equal or less than the targeted cost.

Proposed business process technology commercialization: A case study of electric car technology incubation

Incubator as one of the mechanisms in the commercialization of technology plays an important role to commercialize the results of technology research in higher education. National electric car (Molina) as one of the results of university research commercialization requires a system to bring the results of research to the market. This paper aims to produce a model of the flowchart of the business process of commercialization university technology incubator. Flowchart generated from a combination of technology incubators in the world coupled with an interview with the manager of the incubator. The process consisted of 20 main steps and two large main commercialization process. The analysis result shows that the new business process of technology incubator model havs some advantage than the old model.

Comparative analysis well to wheel fuel economy and emission of conventional and alternative vehicle in Surakarta, Indonesia

Nowadays, the air pollution increase significantly. Transportation is the main cause of the increase in air pollution. This is cause of its growth, vehicle number growth rapidly. To solve this problem there was made electric cars. Electric cars have zero emissions. However, the electric car has the disadvantage that the high cost of batteries, short distances and inadequate infrastructure. One type of vehicle powertrain has been developed. That is plug in hybrid vehicle (PHEV). PHEV use two source of energy for vehicle they are battery and fuel. It makes PHEV less emission than conventional vehicle. Indonesia is also currently running a program of emissions reduction and fuel savings. So the use of PHEV to Indonesia can be proposed. This study focused on analysis well to wheel fuel economy and emission of conventional and alternative vehicle (PHEV) in Indonesia This study used Surakarta to represent Indonesias vehicle speed character. Advisor used to compare conventional vehicle and PHEV in fuel economy and emission. The result of this study is PHEV 31,85% more economy than conventional vehicle. And PHEV less emission than conventional vehicle about 41.3% for HC, 46,8% for CO and 17,5% for NOx. From the results of this study, the PHEV has a great opportunity to replace conventional vehicles as a means of transportation in Indonesia.

Decision tree for state of charge (SOC) prediction of LiFePO4 battery

Battery is one of the most importance components in the field of energy system. In other hand LiFePO4 batteries have higher density of energy and more life cycle than nickel battery, but LiFePO4 need state of charge (SOC) prediction to solve the disadvantage of this battery. The objective of this study is to make method for calculate SOC that can compute it with high accuracy and fast computation time. Decision tree is one of logical computing based on supervised learning that can make precision of prediction. This study concentrated to develop decision tree for SOC prediction. Decision trees train with the real data from battery testing system. The average error from training data is 0.1789 with 0.047353 seconds time computation, and the average error from testing data is 1.9034. The conclusion from this study is decision tree can use to calculate SOC and it can be applied because of its accuracy and fast.