Converter Topologies and Energy Management for EV
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About this ebook
"Converter Topologies and Energy Management for EV" Eileen Farmer is a comprehensive guide for researchers, engineers, and students working in the field of electric vehicles (EVs). The book provides an in-depth analysis of various converter topologies and their applications in energy management for EVs.
The first section of the book focuses on the fundamentals of power electronics, including the basic principles of converter topologies, control techniques, and power semiconductor devices. The author then delves into various converter topologies such as buck, boost, buck-boost, and flyback, among others, and their applications in EVs. The book also covers advanced topics such as resonant converters and soft-switching techniques.
The second section of the book focuses on energy management for EVs, including battery management, charging techniques, and power management strategies. The author discusses different types of batteries and their characteristics, as well as charging techniques such as plug-in charging, wireless charging, and fast charging. The book also covers power management strategies such as regenerative braking and energy recovery.
Overall, "Converter Topologies and Energy Management for EV" is a valuable resource for anyone interested in understanding the principles and applications of power electronics and energy management in EVs. The book is written in a clear and concise manner, making it accessible to both beginners and advanced readers alike.
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Converter Topologies and Energy Management for EV - Eileen Farmer
ABSTRACT
––––––––
The environmental and energy issues have propelled the need of Electric vehicles (EV) and this mode of transportation is progressing expeditiously combating diverse barriers. The major challenges include enhancing the driving range, battery life and power capability. To address the above issues, this thesis explores the performance of EV with Hybrid Energy Storage System (HESS) employing Li-ion battery and Ultracapacitor (UC). A comprehensive modelling of various system components of 3-wheeled Light Electric vehicle (LEV) based on Indian Driving Cycle (IDC) is presented to aid in the sizing of ESS.
A bi-directional DC/DC converter (BDC) acts as an interface between the energy sources and ensures efficient power flow. Thus the choice of the BDC gains significance and there is a need to arrive at a suitable topology. In this perspective, this work presents a comparative study of conventional buck-boost, switched capacitor Luo and Multilevel Modular Capacitor clamped Converter (MMCC) topologies based on current ripple and transfer efficiency. The results indicate the suitability of MMCC topology for a 3-wheeled LEV.
The energy management control strategy plays a vital role in regulating the power flow as per the drive cycle load requirement. This necessitates an efficient control design to accommodate real-time load fluctuations by regulating the power flow from the hybrid sources. In this work, a hybrid control strategy incorporating filtering and fuzzy rule based technique is proposed for effective power flow regulation. The results obtained with respect to various performance measures including battery stress factor, UC state-of-charge (SOC) difference, energy consumption rate,
system efficiency and tracking of speed profile indicate that the proposed control strategy performs satisfactorily.
The voltage imbalance issues in series stacking of UC are addressed by increasing the conversion gain of MMCC. The selection of conversion gain is a compromise between the capacitance value of UC, number of parallel stacks and cost. A detailed guideline to arrive at an optimal voltage gain of MMCCC considering the above factors is presented. The failure mode analysis of MMCC converter is presented to highlight its performance under fault conditions.
An overall comparative study of EV employing Battery Energy Storage System (BESS) and the hybrid energy storage system is presented to elucidate the merits of HESS. The economic feasibility of BESS and HESS are performed and presented to emphasize the effectiveness of Li-ion battery/UC HESS.
The converter topology and energy management control schemes presented in this thesis will open up fresh avenues in hybridizing energy sources for EV applications.
LIST OF TABLES
TABLE NO. TITLE PAGE NO.
Comparative analysis of HESS parallel
configurations 26
Technical specification of the Bajaj RE 3-wheeler 28
Specification of IDC 29
Energy demand of EV for different cases 35
Specification of Li-ion battery cell 45
Specification of UC bank 48
Switching pattern of SCC Luo Converter 67
Performance analysis of conventional buck-boost BDC 84
Comparative analysis of BDC topologies 85
System components for experimental verification of
BDC 87
Rule base for high SOC of battery 120
Rule base for medium range of battery SOC 121
Rule base for low SOC of battery 121
Comparative analysis of energy management
control strategies 126
System components for experimental verification of control strategy 128
Comparative evaluation of UC stacking requirement
for various modules of MMCC Converter 139
Various fault operation modes 149
Performance analysis of BESS and HESS 163
Assumed referential cost and factors 169
Cost analysis for BESS and HESS 169
FIGURE NO. TITLE PAGE NO.
2.18 Electrical equivalent model of UC 47
Basic structure of isolated type BDC 52
Dual-half bridge isolated BDC 53
Dual-active bridge isolated BDC 54
Bi-directional buck-boost converter 56
Cascaded buck-boost converter 56
Bi-directional Cuk converter 57
Bidirectional SEPIC/Zeta DC-DC converter 57
Coupled inductor based non-isolated converter 58
Interleaved bi-directional DC/DC converter 58
Conventional buck-boost BDC topology 59
Boost mode 60
Buck Mode 62
Current waveform 64
Current and voltage stress in the main switch 65
2-Q switched capacitor Luo converter 67
Boost operating mode 68
Current waveforms of UC and battery 70
Voltage and current stress in the main switch during
boost operation 70
Buck operating mode 71
Current waveforms of discharging battery and
charging UC 73
Voltage and current stress in the main switch
during buck operation 73
Schematic of single module MMCC converter 74
(a) Equivalent circuit for state I in buck mode 76
(b) Equivalent circuit for state II in buck mode 76
FIGURE NO. TITLE PAGE NO.
(a) Voltage and current waveform of discharging
battery 77
(b) Voltage and current waveform of charging UC 77
(a) Equivalent circuit for state I in boost mode 78
(b) Equivalent circuit for state II in boost mode 79
(a) Voltage and current waveform of discharging UC 79
(b) Voltage and current waveform of charging battery 79
(a) Voltage and current stress in main switch
during buck mode 80
(b) Voltage and current stress in main switch during
boost mode 80
Pulse dropping switching pattern 83
Experimental setup of conventional buck-boost 88
(a) Inductor current waveform and the switching
pulse during boost mode 88
3.30 (b) Auxiliary source current and its corresponding switching signal during buck/boost operation 89
(c) Main source and auxiliary source battery
voltage 89
Experimental setup of MMCC converter 90
(a) Switching signals of SR and SB group switches 90
3.32 (b) MMCC output voltage, auxiliary source voltage
and current 91
3.32 (c) Auxiliary source current, main source voltage and current 91
Block diagram of energy management system 95
Energy management control strategies for EV system 96
FIGURE NO. TITLE PAGE NO.
––––––––
Co-ordination of battery and UC for different drive
cycle operation 100
Power train architecture of a 3-wheeled LEV 102
Driver Model 103
Voltage and current controller design 104
4.8 Block diagram of filtering based strategy 106
4.10 (a) SOC status of Li-ion battery and UC 107
4.10 (b) Battery and UC voltage 107
4.10 (c) Power distribution between battery and UC 108
4.10 (d) Current distribution between battery and UC 108
4.10 (e) Energy provided by battery and UC 108
Flowchart of deterministic rule-based strategy 110
(a) Current distribution of battery and UC 111
4.11 (b) Power distribution of battery and UC 111
4.11 (c) Voltage distribution of battery and UC 112
4.11 (d) SOC status of battery and UC 112
(e) Energy distribution of battery and UC 112
Block diagram of integrated filtering and rule-
based strategy 113
(a) Voltage distribution of battery and UC 114
4.13 (b) SOC status of battery and UC 114
4.13 (c) Energy distributions of battery and UC 114
4.13 (d) Current distribution of battery and UC 115
(e) Power distribution of battery and UC 115
Block diagram of hybrid energy management strategy 116
Block diagram of fuzzy inference system 118
(a) Membership function of input 1 119
FIGURE NO. TITLE PAGE NO.
4.16 (b) Membership functions of input 2 119
4.16 (c) Membership functions of input 3 119
(d) Membership function of output 120
Response surface plot of input-output relation 122
(a) SOC status of UC 124
(b) SOC status of battery 124
(c) Current distribution of battery and UC 124
4.18 (d) Power distribution of battery and UC 124
4.18 (e) Voltage distribution of battery and UC 125
(f) Energy provided by HESS 125
Vehicle speed profile 126
Experimental setup 127
Speed profile plot 129
(a) Main battery and auxiliary battery source voltage 129
4.22 (b) Switching pulses of MMCC converter 130
4.22 (c) Auxiliary source current corresponds to the
hall signal 130
(d) Auxiliary source current corresponds to
boost pulses 131
(a) Auxiliary source charging current and voltage corresponds to buck pulse 131
4.23 (b) Main source discharging current , main and auxiliary source voltage during constant speed
operation 132
4.23 (c) Hall signal and corresponding phase current of
BLDC motor 132
FIGURE NO. TITLE PAGE NO.
Redundancy check (a) Schematic of two module MMCC converter (b) Boost operation using
2- module with CR>RVS (c) Buck operation using
single module with CR
CR variation in MMCCC using redundancy
capability (a) Battery SOC (b) UC SOC 138
5-level, 4-module MMCCC configuration 140
Buck Operation 141
Boost operation 142
Switching signals of SB and SR switches 144
Voltage across the modules of 5-level,
four-module MMCCC 144
Fault analysis of MMCC (a) Before fault
(b) After fault 146
Voltage across the modules of MMCC converter 147
SOC status of battery and UC 147
Conventional buck- boost BDC topology 148
Current through main switch S1 150
Voltage spikes across main switch S1 150
UC current 151
Current through main switch S2 152
Voltage spike across main switch S2 153
DC bus current 153
Energy requirement of a 3-wheeled LEV 156
Li-ion battery requirement 157
Parallel stack requirement of battery 158
Cost and weight of the battery system 158
BESS without regeneration 160
FIGURE NO. TITLE PAGE NO.
BESS with regeneration 162
Range and IDC cycle estimation for BESS and HESS 164
Estimated life cycle and time durability of
battery system 165
Cost break down of various components of electric
power train 166
Classification of total operating cost of ESS 167
Capital cost analysis 170
Operating cost analysis 170
LIST OF SYMBOLS AND ABBREVIATIONS
- Acceleration Power
Fad - Aerodynamic Drag
- Amplitude modulation
- Amplitude of square wave
- Amplitude of triangular wave
CCBatt - Annual capital cost of battery
- Annual replacement cost
RCBatt - Annual replacement cost of battery
ARAI - Automotive Research Association of India
- Average charge/discharge current
UC(dec) - Average current of UC during deceleration
UC(acc) - Average current of UC during acceleration
̅ - Average input current
MCBatt - Average maintenance cost of battery
̅ - Average output