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Integrated Vehicle-Following Control for Four-Wheel Independent Drive Based on Regenerative Braking System Control Mechanism for Battery Electric Vehicle Conversion Driven by PMSM 30 kW
(2024-06-01)
Techalimsakul, Pataphiphat
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Keyoonwong, Wiwat
This study proposed the hybrid energy storage paradigm (HESP) equipped with front-wheel permanent magnet synchronous motors (PMSMs) for battery electric vehicles (BEVs). In this case, all four wheels are driven by a single motor using mechanical coupling to distribute the motor’s power to each wheel evenly. The HESP is a combination of several supercapacitors (SCs) and an NMC-lithium battery equipped with an advanced artificial neural network (ANN) that will enhance the regenerative braking system (RBS) efficiency of energy storage during braking. The three-phase inverter switching algorithm ensures efficient regenerative braking and fine adjustment of the brake force distribution. Under the RBS, the HESP with the ANN first transfers braking energy to the SC and, when the safety standard is reached, the SC transfers it to the battery. The RBS control maintains an even distribution of braking force at all distances to ensure stability during braking. The results show that a traditional BEV can drive 245.46 km (35 cycles), while an EV with an RBS-only battery can drive 282.56 km (40 cycles). An EV with HESP-RBS can drive 338.78 km (48 cycles), which is an increase of 93.32 km (13 cycles). The HESP-RBS increased the regenerative efficiency by 38.01% when compared to a traditional BEV.
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Estimating Surface Temperature Profile Of Li-Ion Battery Under Several Conditions
(2024-01-01)
Keyoonwong, Wiwat
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Mesakhun, Korndanai
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Intanil, Kananat
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Siriwilawan, Nicharee
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Chipchukiad, Tisorn
In recent years, electric vehicles have become increasingly popular as a highly efficient and environmentally friendly transportation option worldwide. This trend is primarily due to the growing global awareness of the importance of pollution and carbon emissions from road transportation. According to the International Energy Agency (IEA) latest report, the sales of electric vehicles have exceeded 10 million in 2022. Electric vehicles consist of various components that are used for propulsion. One of the crucial components that stores energy for propulsion is the battery. The efficiency and lifetime of batteries depend on the temperature during usage. To ensure long lifetime and efficiency of batteries, temperature management is crucial. Batteries perform best when the temperature is neither too low or high. Therefore, the thermal issue of battery in electric vehicles is essential and has been continuously researched and developed. Heat in batteries and thermal modeling of batteries are important for estimating battery temperature profiles.
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Study impedance and temperature behavior of LFP battery as function of relative humidity and temperature under various conditions
(2024-01-01)
Keyoonwong, Wiwat
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Phiphuannok, Kankawi
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Janesawatpong, Kittipot
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Seeboonrueang, Kotchapon
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Amnuaysap, Nuttapum
Nowadays, lithium-ion batteries are widely employed in a lot of applications. For example, using batteries to provide energy for Electric Vehicles. In use, Batteries are charged and discharged in many cycles, which impacts battery aging. Battery aging causes capacity reduction and internal resistance increase. As is well known, the battery resistance changes with temperature and state of charge (SOC). However, no one has yet studied whether relative humidity affects the battery resistance or not. In this paper, behavior of LFP batteries as function of relative humidity and temperature under various conditions is analyzed. During the aging process, a battery impedance meter was performed at various conditions to analyze the change of the battery impedance due to relative humidity and temperatures. Additionally, the time required to charge the battery under different conditions was analyzed.
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An HSC/battery energy storage system-based regenerative braking system control mechanism for battery electric vehicles
(2019-03-01)
Kiddee, Kunagone
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Keyoonwong, Wiwat
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Khan-Ngern, Werachet
This paper proposes a novel hybrid energy storage system (HESS) for the regenerative braking system (RBS) of the front-wheel induction motor-driven battery electric vehicle. The HESS is an amalgamation of multiple hybrid supercapacitors (HSCs) and lithium-ion battery cells. An artificial neural network (ANN)-based RBS control mechanism was used to optimize the switching scheme of the RBS's three-phase inverter and the vehicular breaking force distribution. In the regenerative braking mode, the ANN-based HSC/battery RBS transferred the braking energy to be stored in the HSC and, upon reaching the HSC's maximum safety threshold, then to the battery. In addition, the RBS control mechanism could achieve uniform braking force distribution between the front and rear wheels of the vehicle. Furthermore, our findings revealed that the experimental HSC/battery RBS program enhanced the harvesting of the regenerative braking energy, as was evident from the longer driving distance vis-à-vis that of the battery-only vehicle. The HSC/battery RBS also contributed to improved vehicle acceleration and an extended battery life. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
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PDLC film's energy consumption and performance for light filtration system
(2018-08-20)
Keyoonwong, Wiwat
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Khan-Ngern, Werachet
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Ruxsri, Paritpong Tavichaiyut Viritpol
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Raksasataya, Vishnu
This paper proposes to record the result of energy consumption and light transmission rate when using PDLC film with green insulated glass, at size lxl sq.m. with 6-12-6 mm. standard thickness. The result of energy consumption and performance in protecting from the sun light are explained. The PDLC energy consumption characteristic and its principle are described. The methodology to test the performance of PDLC film with green insulated glass also incuded. The result indicated that different voltage source level will also be able to affect the light transmission rate. From experiment found that at level 0 volt had a light transmission rate at 22.3 percent, level 15 volts at 28.8 percent, level 30 volts at 32.0 percent, level 45 volts at 33.2 percent, level 55 volts at 33.4 percent and level 70 at 34.0 percent, respectively. All of these values were compared with direct light intensity from outside. In the future, it can be used in purpose for energy saving inside building.
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Embedded Electronic Differential System on Two Brushless DC Motor Drives for Electric Vehicle Steering Control
(2018-08-20)
Khan-Ngern, Werachet
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Keyoonwong, Wiwat
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Chatsiriwech, Narongrit
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Sangnopparat, Pongsakorn
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Mattayaboon, Ponghiran
The project present about Embedded Electronic Differential System(EDs) on Two Brushless DC (BLDC) Motors Drives for Electric Vehicle Steering Control. EDs using for steering control to balance speed between two BLDC motors and enhances efficiency of electric vehicle driving system. Efficiency testing on BLDC motor driving system to determine the efficiency of BLDC motor driving system including inverter and BLDC motor at various load conditions. The maximum efficiency of BLDC motor at 48 volts is 75.71% with 6.52 kg load Embedded system including speed limit to protect BLDC motor from overrated speed and feedback speed, Handwriting coding by Arduino mega 2560. The steering control using digital potentiometer, MCP41010. When the turning angle of electric vehicle is any degrees (right or left turning status), the control system will command. And when BLDC motor near overrated speed and turning status, the overall speed of electric vehicle is reduced because the both BLDC motors speed are limited at 840 rpm. The experimental results give satisfactory performance.
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High performance BLDC motor control for electric vehicle
(2018-08-13)
Khan-Ngern, Werachet
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Keyoonwong, Wiwat
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Chatsiriwech, Narongrit
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Sangnopparat, Pongsakorn
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Mattayaboon, Ponghiran
This paper presents about design of high performance brushless dc motor (BLDC) control for electric vehicle (EV) which focusing on rear differential of electric car uses electronic control system or well known as electronic differential system (EDs). The advantage of EDs is help to adjust wheel speed while cornering by driving two BLDC motor attached to two rear wheels that two wheel speed is different. This system can accurately control process by monitoring output and feeding some of it back to compare actual output with desired output so as to reduce the error. It is well known as closed loop control system. The speed of BLDC is experimentally measured by a tachometer. The steering angle and speed of EV is calculated by equations derived from Ackemuuui-Jesntsnd model using Arduino. Load simulation using MATLAB Simulink. The experimental results electronic differential using will enhances efficiency of electric vehicle driving system.

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