Department of Mechatronics Engineering
Permanent URI for this collection
Browse
Browsing Department of Mechatronics Engineering by Author "ATAR, ZAINAB"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
Item STATE OF CHARGE (SOC) OPTIMIZATION OF RECONFIGURABLE BATTERY NETWORK(2024-05-01) ATAR, ZAINAB; Khan, UmerBatteries are a major source of energy, especially lithium-ion (Li-ion). Their astounding chemical properties have made them favourites for many applications areas including electric vehicles (EVs). To meet the system requirements, multiple batteries are connected in a fixed or a reconfigurable structure. Given the many problems faced by these architectures especially the fixed structure, including exceeding the use of the weak battery, this study proposes an advanced battery system that can be reconfigured to meet all system requirements. In addition to its ability to bypass the use of a damaged battery, a battery that is charging can be completely separated from the rest of the connection. These batteries, when connected in a specific configuration, whether series, parallel or hybrid, face a performance defect due to the repeated use that causes the imbalance in charging and discharging among the batteries. If one of the batteries is damaged due to the overcharging or over-discharging, it may lead to bad effects on the overall performance of the system. This research proposes an advanced battery management system to maintain a balance among batteries to improve their lifecycle. It also prevents overcharging or over-discharging of batteries by providing the maximum value for charging or the minimum value for discharging, as at these two values the state of the battery is reversed from discharge to charging or vice versa. Thus, keeping the system working at the highest level throughout the run time. This study also proposes an optimization algorithm to supply the optimal load voltage. The choice of this configuration depends on the required voltage as well as the state of charge (SOC) for each battery. To keep the system equipped with the required voltage throughout the runtime, this thesis proposes an algorithm to replace the low-charge battery with another battery ready to discharge in series and parallel configurations. Moreover, in the hybrid configuration, the common battery forming the bridge between two configurations is also replaced. Given that all batteries are charging, this research suggests supplying the load with voltage from an external voltage source until at least one battery becomes available. The results based on the use of simulation in the MATLAB showed the ability of the proposed algorithms to achieve an effective battery management system that protects all batteries from overcharging and over discharging. Additionally, it is also demonstrated that the system is capable of providing the required voltage throughout the run time despite the changes in the configuration. It also shows the ability of the Improved Reconfigurable Energy Enhanced Architecture (I-REEA) to meet all changes in the connections during the run time.