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A significant part of the deal includes the Power Up Plan—an initiative with the Iraqi Ministry of Electricity (MoE) for critical electricity generation and maintenance projects throughout the country. Phase I of the plan added more than 700 megawatts (MW) of power to the grid in 2016.
Iraq's electricity generation primarily depends on fossil fuels. In 202, natural gas was the largest source at 50.4% of the total, followed by oil at 47.6%. Renewable energy, mainly from hydroelectric power, contributed 2%. As of 2023, the 30 gigawatts (GW) of installed capacity cannot meet summer peak demand.
While some of the damage of the 1991 war was repaired and about 4,500 MW of generating capacity was available in 1999 when Iraq reorganized its electricity sector. The sector was separated from the Ministry of Industry, and the Commission of Electricity (CoE) was established on June 21, 1999.
Summer peak demand 6,800–7,500 MW; 35 to 40% of the summer peak demand cannot be satisfied at present. Lack of electricity tends to affect more severely the most vulnerable groups of Iraq's society and increases their morbidity and mortality. Ongoing efforts need to be maintained and new actions to increase electricity supply need to be initiated.
Battery management systems (BMSs) are discussed in depth, as are their applications in EVs and renewable energy storage systems. This review covered topics ranging from voltage and current monitoring to the estimation of charge and discharge, protection, equalization of cells, thermal management, and actuation of stored battery data.
One way to figure out the battery management system's monitoring parameters like state of charge (SoC), state of health (SoH), remaining useful life (RUL), state of function (SoF), state of performance (SoP), state of energy (SoE), state of safety (SoS), and state of temperature (SoT) as shown in Fig. 11 . Fig. 11.
One of the key functions of a BMS is cell balancing, which ensures that each cell in a battery pack is charged and discharged uniformly. Cells in series often exhibit slight differences in capacity, causing certain cells to overcharge or undercharge.
The BMS employs multiple algorithms including coulomb counting, voltage-based estimation, and advanced techniques like Kalman filtering to provide precise charge level information. SOC accuracy directly impacts user experience and battery protection. Overestimation can lead to over-discharge, while underestimation reduces usable capacity.
