Abstract:This paper presents the analysis and design of a smart battery management system for Field Programmable Gate Array (FPGA) based portable electronic devices. It is a novel concept of incorporating the functionality of a smart battery management system into the FPGA used by portable electronic devices, which provides the following advantages. (1) It lowers cost since the conventional commercial independent battery management circuit can be eliminated; (2) It offers more flexibility because FPGA based battery man… Show more
“…MCC has been combined with CC and CV which results in CC-MCC [73,75,127,[166][167][168] and MCC-CV [49,[169][170][171] charging protocol. Authors in [172] applied MCC throughout Phase II and Phase III.…”
Section: B Multi-stage Constant Current Chargingmentioning
Battery Electric Vehicles (BEVs) are advocated due to their environmental benign characteristic. However, the long charging time and the degradation caused by fast charging impedes their further popularization. Extensive research has been carried out to optimize the charging process, such as minimizing charging time and aging, of Lithium-ion Batteries (LIBs). Motivated by this, a comprehensive review of existing Charging Optimization (ChgOp) techniques is provided in this paper. Firstly, the operation and models for LIBs are explained. Then, unexpected side effects especially for the aging mechanism of LIB associated with unregulated fast charging are scrutinized. This provides a solid theoretical foundation and forms the optimization problem. Following this endeavor, the general framework with critical concerns for ChgOp system design is overviewed. Within this horizon, the state-of-the-art ChgOp techniques, clustered into openand close-loop categories, are reviewed systematically with their respective merits and shortcomings discussed. Finally, the development of an emerging charging control protocol with both real-time affordability and degradation consciousness is further discussed as an open outlook.
“…MCC has been combined with CC and CV which results in CC-MCC [73,75,127,[166][167][168] and MCC-CV [49,[169][170][171] charging protocol. Authors in [172] applied MCC throughout Phase II and Phase III.…”
Section: B Multi-stage Constant Current Chargingmentioning
Battery Electric Vehicles (BEVs) are advocated due to their environmental benign characteristic. However, the long charging time and the degradation caused by fast charging impedes their further popularization. Extensive research has been carried out to optimize the charging process, such as minimizing charging time and aging, of Lithium-ion Batteries (LIBs). Motivated by this, a comprehensive review of existing Charging Optimization (ChgOp) techniques is provided in this paper. Firstly, the operation and models for LIBs are explained. Then, unexpected side effects especially for the aging mechanism of LIB associated with unregulated fast charging are scrutinized. This provides a solid theoretical foundation and forms the optimization problem. Following this endeavor, the general framework with critical concerns for ChgOp system design is overviewed. Within this horizon, the state-of-the-art ChgOp techniques, clustered into openand close-loop categories, are reviewed systematically with their respective merits and shortcomings discussed. Finally, the development of an emerging charging control protocol with both real-time affordability and degradation consciousness is further discussed as an open outlook.
“…Moreover, the work described in [16] takes into account only three modulation techniques, also referring several DSP disadvantages such as the increased processing time or a reduced accuracy due to the limited available resources. Mentions of the flexibility of the FPGA system in terms of industry applications can be found in [17][18][19][20][21][22]. In particular recent papers [17,18,20] address the control of modular multilevel converters, and others face the growing application on electrical mobility from battery management systems [19] and traction [21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Mentions of the flexibility of the FPGA system in terms of industry applications can be found in [17][18][19][20][21][22]. In particular recent papers [17,18,20] address the control of modular multilevel converters, and others face the growing application on electrical mobility from battery management systems [19] and traction [21][22][23]. All proposed recent papers report FPGA as the best answer for implementing in real time the control techniques, due to its adaptive parallel processing hardware structure, which permits implementing diverse algorithms with reducing the serial and consecutive operations compared to traditional CPU implementation.…”
The Field Programmable Gate Array (FPGA) represents a valid solution for the design of control systems for inverters adopted in many industry applications, because of both its high flexibility of use and its high-performance with respect to other types of digital controllers. In this context, this paper presents an experimental investigation on the harmonic content of the voltages produced by a three-phase, five level cascaded H-Bridge Multilevel inverter with an FPGA-based control board, aiming also to evaluate the performance of the FPGA through the implementation of the main common modulation techniques and the comparison between simulation and experimental results. The control algorithms are implemented by means of the VHDL programming language. The output voltage waveforms, which have been obtained by applying to the inverter the main PWM techniques, are compared in terms of THD%. Simulation and experimental results are analyzed, compared and finally discussed.
“…The BESS is based on a BMS that optimizes the energy storage and implements an adequate charge procedure, which changes the charging rate and plans the SOC of the battery depending on the MG scenarios. The BMS has all the elements summarized in Table 2 [45][46][47][48][49][50][51][52][53][54][55][56][57][58][59]. A battery electrical model is described, which allows for determining all the static and dynamic characteristics of the battery.…”
This study is focused on two areas: the design of a Battery Energy Storage System (BESS) for a grid-connected DC Microgrid and the power management of that microgrid. The power management is performed by a Microgrid Central Controller (MGCC). A Microgrid operator provides daily information to the MGCC about the photovoltaic generation profile, the load demand profile, and the real-time prices of the electricity in order to plan the power interchange between the BESS and the main grid, establishing the desired state of charge (SOC) of the batteries at any time. The main goals of the power management strategy under study are to minimize the cost of the electricity that is imported from the grid and to maximize battery life by means of an adequate charging procedure, which sets the charging rate as a function of the MG state. Experimental and simulation results in many realistic scenarios demonstrate that the proposed methodology achieves a proper power management of the DC microgrid.
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