Electric Vehicle Battery Technologies and Capacity
Electric vehicle (EV) battery technology is at the forefront of the shift towards sustainable transportation. However, maximising the environmental and economic benefits of electric vehicles depends on advances in battery life
Effect of State of Charge Uncertainty on Battery Energy
This paper proposes a framework for quantifying SOC estimation uncertainty based on battery rest periods. An uncertainty analysis is presented for a BESS participating in
Uncertainty parameters of battery energy storage integrated
The continuously growing population and urban growth rates are responsible for the sharp rise in energy consumption, which leads to increased CO 2 emissions and demand-supply imbalances. The power sector is switching to alternative energy sources, including renewable energy resources (RES) such as Photovoltaic (PV) and wind power (WP) and
The Economic Impact of Battery Degradation Modelling Uncertainty
Li-ion battery module systems, which are utilized to power electric vehicles (EVs), consist of a collection of battery cells that generate the necessary electrical energy and a structure designed
Prediction model of thermal behavior of lithium battery module
In the battery module temperature rise experiment, the applicability of this prediction method to large battery modules was verified. It was also found that the maximum temperature of the battery module under 5C rate reached 334.88 K. The temperature rise rate reached 24.07 times that of 1C rate, and 2.39 times that of 3C rate. The high
Uncertainty assessment method for thermal runaway
Lithium-ion batteries (LIB) are widely used in electric vehicles (EV) due to their advantages of no memory effect, low self-discharge rate, environmental protection, and long cycle life [1], [2], [3].However, thermal runaway propagation (TRP) problems in lithium-ion battery packs (LIBP) often lead to severe accidents such as combustion and explosion in electric vehicles.
Understanding Measurement Uncertainty in Power Measurement
Reference Power Uncertainty Most benchtop power meters come equipped with a reference calibrator. This essentially outputs a signal at a known power level and frequency into the sensor. The meter can then read the sensor output and adjust for any loss that might be introduced from cabling between the sensor and the meter. Again, it''s
Multi-objective hierarchical energy management strategy for fuel
In this context, hybrid power systems have become one of the key technologies for ships to achieve energy savings and emission reductions [4].Among them, clean energy sources such as hydrogen, wind, and solar energy are widely used in modern ship propulsion systems [5].The allocation of power among multiple energy sources in different operating modes is a critical
Uncertainty analysis of selected standard methods in battery
In Section 2, the individual analysis methods are briefly explained. Afterwards, in Section 3, the characteristics of the used test equipment and battery are shown, followed by
Design and uncertainty-based multidisciplinary optimization of a
Uncertainty bottom impact optimization of power battery pack with 3D star-shaped auxetic structure Appl Soft Comput, 161 ( 2024 ), Article 111742, 10.1016/j.asoc.2023.111742 View PDF View article View in Scopus Google Scholar
Byeng Dong YOUN | Professor (Full) | Ph.D.
Li-ion battery module systems, which are utilized to power electric vehicles (EVs), consist of a collection of battery cells that generate the necessary electrical energy and a structure
Thermal characteristics of power battery module with
The battery maximum temperature and battery module maximum temperature difference of the battery module with different heat dissipation modes under different heating power are listed in Table 3. It is seen that the double-sided heat sink arrangement has the better heat dissipation effect, and the maximum temperature was kept below 50°C at all the heating
SOH uncertainty estimation for lithium-ion battery packs based on
For battery packs, in addition to internal cell degradation, cell inconsistency also has a significant impact on the aging process, leading to more complex degradation and greater uncertainty in
Stochastic optimization of integrated electric vehicle charging
SOP defines the maximum allowable charging/discharging power of the battery within a specified time horizon, directly influencing the peak load shifting capability of BESS [28]. A novel stochastic scheduling optimization framework considering the above PV power uncertainty and BESS power constraints is proposed to enhance the comprehensive
State of health estimation based on inconsistent evolution for
Usually better than a single approach, but subject to uncertainty confluence. The battery module contains multiple individual batteries, Due to the unknown branch current of the parallel module in the actual on-board power battery, the compensation value feature is selected in this study to estimate battery module SOH.
Design and uncertainty-based multidisciplinary optimization of a
The battery pack includes k battery units, wherein k is an integer of 2 or more; a power supply control unit that conducts control operation such that at least one of the k battery units supplies
Experimental and numerical analysis of a hybrid cooling concept
The battery module was maintained in an ambient temperature of 25 °C. The cells were discharged at CC once the measurements from the thermocouples reached 25 °C. The readings were logged in using LabView. Once the voltage of the battery module reached the cut-off voltage of 22.5 V, the discharge process was terminated.
Battery-less uncertainty-based control of a stand-alone PV
Since battery-less power smoothing relies on short-term forecasting (nowcasting), this tool becomes an essential ramp control [4], [8], [9], [10].As an example, an algorithm of a power management system relies on nowcasting as a first step to perform power smoothing based on signal processing techniques [10].For PV systems, a method using a sky
Uncertainty assessment method for thermal runaway
A methodology is proposed for analyzing the uncertainty of TRP in battery systems. to propose an analytical method for quantifying the impact of uncertainty factors on TRP generation to investigate power battery pack TRP. This material reduced the maximum temperature of the battery module by up to 30% during critical thermal runaway
Uncertainty analysis of stack pressure in EV battery module
Number of citations: 0: Number of works in the list of references: 40: Journal indexed in Scopus: Yes Journal indexed in Web of Science
Multi-objective optimisation for cell-level disassembly of waste power
The popularity of electric vehicles (EVs) is a positive response from humankind to increasingly severe climate problems. According to statistics, there were approximately 10 million EVs worldwide by the end of 2020 (IEA, 2021).As essential indicators of automobiles, endurance and power performance have always been valued by consumers, and the battery cycle life
Uncertainty parameters of battery energy storage integrated grid
This study provides a comprehensive analysis of the several parameters of uncertainty, approaches for dealing with the uncertainty in battery energy storage (BES)-based
Uncertainty bottom impact optimization of power battery pack
Finally, considering deviations and uncertainties of the design process of power battery pack, an uncertainty bottom impact optimization integrating the TSSA-GRNN surrogate model and NSGA-II algorithm is carried out to further enhance the comprehensive crashworthiness and robustness. The results demonstrate superior performance of the novel
Stochastic optimization of integrated electric vehicle charging
This shift might occur because, in the deterministic model, PV power fully covers the charging demand at 10:00–11:00. However, due to the power prediction uncertainty, PV power falls short of covering charging demand during this period in some scenarios, leading to a reliance on grid electricity at peak-price periods.
Uncertainty bottom impact optimization of power battery pack
It can be seen from Fig. 15 (a) that the maximum impactor collision force of the 3D star-shaped auxetic power battery pack is 25.91 kN, which is 2.75 kN less than that of the power battery pack without inner core, and 3.72 kN greater than that of the 3D double-arrowed auxetic power battery pack. It indicates that the condenser without inner core and the
A data-driven method for predicting thermal runaway
In the battery module, a fuzzy system is introduced to infer the uncertainty of TRP. The battery temperature is susceptible to receive uncertain fluctuations from flames and combustibles. At the start of the experiment, the battery module is charged or discharged at 1C constant current. Simultaneously the power supply is turned on to
Uncertainty Analysis and Propagation for an Auxiliary Power Module
A consequence of this shortcoming is the propagation of uncertainty from test to simulation, which can cause simulated results to diverge significantly from real world performance. In this paper
Research on Inconsistency Evaluation of
Inconsistency is a key factor triggering safety problems in battery packs. The inconsistency evaluation of retired batteries is of great significance to ensure the safe and stable
Uncertainty assessment method for thermal runaway
The power battery pack thermal transfer loss at −7 °C is much greater than that at 23 °C and 35 °C due to the low charging and discharging efficiency and the high energy consumption required
5 FAQs about [Uncertainty of battery module power]
What is uncertainty in power systems?
In this sense, uncertainty in power systems is a perennial problem that is swelling multifold day by day, especially in renewable energy integrated power systems. In modern power systems, the uncertainties mainly arise from random variations in input data, prediction errors, and network failures.
Why is the measured voltage subject to uncertainties?
The measured voltage is subject to uncertainties due to both the accuracy of the measurement equipment (Section 3.2) and the effects of the battery (Section 3.3 ).
What are the two parts of uncertainty?
For the analysis, we divided the overall uncertainty into two parts – a constant and a variable part. The constant part is essentially responsible for the absolute achievable accuracy and depends mainly on the accuracy of the calibration equipment used.
How does experimental uncertainty affect vehicle fuel economy prediction?
Experimental uncertainty in the measurand of efficiency is modeled using Scheffe confidence intervals as a function of APM output current. Uncertainty is then propagated through a vehicle fuel economy simulation to understand the role of APM experimental uncertainty in vehicle fuel economy prediction.
How do you measure the state of a battery?
In battery research and development, it is essential to measure the state of a battery and its change over time or cycles. There are many test procedures to electrically measure the condition of a battery , . One of the most commonly used test methods is to measure the capacity of the battery.