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3. Hyperheuristics Trajectory Based Optimization for Energy Management Strategy (EMS) of Split Plug-In Hybrid Electric Vehicle

Author

Mohd Rashid, Muhammad Ikram, Apandi, Ahmad Amir Solihin Mohd, Daniyal, Hamdan, Ahmad, Mohd Ashraf, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Kasruddin Nasir, Ahmad Nor, editor, Ahmad, Mohd Ashraf, editor, Najib, Muhammad Sharfi, editor, Abdul Wahab, Yasmin, editor, Othman, Nur Aqilah, editor, Abd Ghani, Nor Maniha, editor, Irawan, Addie, editor, Khatun, Sabira, editor, Raja Ismail, Raja Mohd Taufika, editor, Saari, Mohd Mawardi, editor, Daud, Mohd Razali, editor, and Mohd Faudzi, Ahmad Afif, editor

Published
2020
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4. Simultaneous Perturbation Stochastic Approximation Optimization for Energy Management Strategy of HEV

Author

Nazri, Muhammad Fadhlan Afif, Mohd Rashid, Muhammad Ikram, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Md Zain, Zainah, editor, Ahmad, Hamzah, editor, Pebrianti, Dwi, editor, Mustafa, Mahfuzah, editor, Abdullah, Nor Rul Hasma, editor, Samad, Rosdiyana, editor, and Mat Noh, Maziyah, editor

Published
2019
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5. Random Search in Energy Management Strategy (EMS) for Hybrid Electric Vehicles

Author

Ghazali, Muhammad Syahmi, Mohd Rashid, Muhammad Ikram, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Md Zain, Zainah, editor, Ahmad, Hamzah, editor, Pebrianti, Dwi, editor, Mustafa, Mahfuzah, editor, Abdullah, Nor Rul Hasma, editor, Samad, Rosdiyana, editor, and Mat Noh, Maziyah, editor

Published
2019
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6. Energy Management Strategy (EMS) for Hybrid Electric Vehicles Based on Safe Experimentation Dynamics (SED)

Author

bin Mohd Rashid, Muhammad Ikram, Daniyal, Hamdan, Ahmad, Mohd Ashraf, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tan, Ying, editor, Shi, Yuhui, editor, and Niu, Ben, editor

Published
2019
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10. Design and Implementation of Battery Management System for Electric Bicycle

Author

Mohd Rashid Muhammad Ikram and Anak Johnny Osman James Ranggi

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

Today the electric vehicle (EV) has been developed in such a way that electronic motor, battery, and charger replace the engine, tank and gasoline pump of the conventional gasoline-powered [1]. In other word, instead of using fossil fuel to move the vehicle, in this case we used a pack of batteries to move it. The global climate change and the abnormal rising international crude oil prices call for the development of EV [2]. To solve these problems, a new energy needs to be developed or optimized in order to replace the current energy which is fossil fuel. A clean and green energy [2]. Because of this, it is very important to make sure that the battery that being used is reliable as the fossil fuel. Thus, the design of the battery management system plays an important role on battery life preservation and performance improvement of EV [3]. The BMS also performs many tasks including the measurement of system voltage, current and temperature, the cells’ state of charge (SOC), state of health (SOH), remaining useful life (RUL) determination, controlling and monitoring the charge / discharge characteristics and cell balancing [3]. For this project, 18650 Lithium-Ion battery is used to develop battery management for 144V 50Ah. As lithium-ion batteries have high value of specific energy, high energy density, high open circuit voltage, and low self-discharge, they are a proper candidate for EVs among other cell chemistries [4].

Published
2017
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11. Feasibility Study of Standalone PV-Wind-Diesel Energy Systems for Coastal Residential Application in Pekan, Pahang

Author

Zailan Roziah, Zaini Siti Nurzalikha, Mohd Rashid Muhammad Ikram, and Abdul Razak Amir

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

Techno economic study is feasible to optimize the usage of renewable energy components that targeting low cost of electricity generation system. The selected case study area is coastal area in Pekan, Pahang, Malaysia. The autonomous system designed in this study is hybrid standalone PV-wind-diesel energy system to fulfil a basic power demand of 20.1 kWh/day. Such power system was designed and optimized further to meet the power demand at a minimum cost of energy using energy optimization software, Hybrid Optimization Model for Electric Renewables (HOMER). The analysis focused on the operational characteristics and economics. The standalone PV-wind-diesel energy system has total net present cost about $61, 911 with cost of energy $0.66/kWh. Apparently, the generation of electricity from both wind turbine and PV can be inflated with the diesel generator. In comparison, return of investment (ROI) value turned out lower for Feed in Tariff (FIT) as compared to self-sustained house. Payback period also longer for FIT program that makes the selling back of electricity generated to Tenaga National Berhad (TNB) is considered not favourable.

Published
2017
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12. Comparison performance of split plug-in hybrid electric vehicle and hybrid electric vehicle using ADVISOR

Author

Mohd Rashid Muhammad Ikram, Daniyal Hamdan, and Mohamed Danial

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

Electric vehicle suffers from relatively short range and long charging times and consequently has not become an acceptable solution to the automotive consumer. The addition of an internal combustion engine to extend the range of the electric vehicle is one method of exploiting the high efficiency and lack of emissions of the electric vehicle while retaining the range and convenient refuelling times of a conventional gasoline powered vehicle. The term that describes this type of vehicle is a hybrid electric vehicle. Many configurations of hybrid electric vehicles have been designed and implemented, namely the series, parallel and power-split configurations. This paper discusses the comparison between Split Plug-in Hybrid Electric Vehicle(SPHEV) and Hybrid Electric Vehicle(HEV). Modelling methods such as physics-based Resistive Companion Form technique and Bond Graph method are presented with powertrain component and system modelling examples. The modelling and simulation capability of existing tools such as ADvanced VehIcle SimulatOR (ADVISOR) is demonstrated through application examples. Since power electronics is indispensable in hybrid vehicles, the issue of numerical oscillations in dynamic simulations involving power electronics is briefly addressed.

Published
2017
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15. Energy Management Strategy of HEV based on Simulated Annealing

Author

Ramli, Asrul Sani, Mohd Rashid, Muhammad Ikram, Ahmad, Mohd Ashraf, Ramli, Asrul Sani, Mohd Rashid, Muhammad Ikram, and Ahmad, Mohd Ashraf

Abstract

Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the fuel consumption while increasing the HEV performance. Artificial Intelligence such as Simulated Annealing for example is widely used to solve many engineering problem. This work focuses on the optimization of fuel and electrical power consumption in the hybrid electric vehicle (HEV) by utilizing a Simulated Annealing (SA) algorithm. The aim is to find the optimal control parameters of HEV such that the power loss is minimized.  In this study, a simplified model of HEV is considered. The performance of the SA based algorithm is analyzed in terms of the statistical analysis of the power loss. The results show that the SA based algorithm is able to minimize the power loss and increase the efficiency of the HEV.

Published
2020

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