Impact of Cell Replacement on the State-of-Health for Parallel Li-Ion Battery Pack

2014 ◽  
Author(s):  
P.L. Huynh ◽  
O. Abu Mohareb ◽  
M. Grimm ◽  
H.J. Maurer ◽  
A. Richter ◽  
...  
Keyword(s):  
The State ◽  
Battery Pack ◽  
State Of Health ◽  
Li Ion Battery ◽  
Cell Replacement ◽  
Li Ion

scholarly journals Predicting the State of Power of an Iron-Based Li-Ion Battery Pack Including the Constraint of Maximum Operating Temperature

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1737
Author(s):  
Wei Xie ◽  
Liyong Ma ◽  
Shu Zhang ◽  
Daxin Jiao ◽  
Jiachen Ma
Keyword(s):  
Operating Temperature ◽  
Prediction Method ◽  
Control Unit ◽  
The State ◽  
Battery Pack ◽  
Li Ion Battery ◽  
Power Pulse ◽  
Thermal Constraints ◽  
Li Ion ◽  
State Of Power

To give full play to battery capability, the state of power (SoP) should be predicted in real time to inform the vehicle control unit (VCU) whether the upcoming driving scenarios of acceleration overtaking, ramp climbing, constant cruising and feedback braking can be sustained. In general, battery SoP conforms to prescribed constraints on voltage, current, and state of charge (SoC). Specifically, this paper takes the generally ignored operating temperature into consideration based on a differential temperature-changing model. Consequently, a SoP prediction method restricted by both electrical and thermal constraints was obtained. Experimental verifications on a Li-ion battery pack suggest that the proposed SoP prediction method can provide favorable reliability and rationality against diverse time durations, temperatures, and aging states in comparison with the instantaneous power obtained using the hybrid power pulse characteristic (HPPC) method.

scholarly journals Bus-to-Route and Route-to-Bus Approaches in Hybrid Electric Buses Fleet for Li-ion Battery Lifetime Extension

2019 ◽  
Vol 1 (2) ◽  
pp. 15-22
Author(s):  
Jon Ander López ◽  
Victor Isaac Herrera Perez ◽  
Aitor Milo ◽  
Haizea Gaztañaga ◽  
Haritza Camblong
Keyword(s):  
Energy Management ◽  
The State ◽  
Route Optimization ◽  
State Of Health ◽  
Li Ion Battery ◽  
Energy Management Strategy ◽  
Battery Lifetime ◽  
Li Ion ◽  
Points Of View ◽  
Hybrid Electric

The aim of this paper is to propose a methodology for managing the Li-ion battery lifetime of a whole fleet with the aim to improve the total cost of ownership of hybrid electric buses. This approach has been addressed from two points of view the bus-to-route and route-to-bus approaches. The bus-to-route optimization is focused on the energy management strategy generation of each bus of the fleet. A techno-economic, route energetic evaluation and battery aging analysis of the fleet have been performed. From the outcome of this analysis, the buses have been grouped, according the state of health of each bus. Based on the analysis and classification, the route-to-bus approach is applied. This technique lies on both, a re-evaluation of the energy management system and/or the re-organization of the buses according to the state of health of each bus. Increases of BT lifetimes up to 10.7% are obtained with the proposed approach.

State of health (SoH) estimation and degradation modes analysis of pouch NMC532/graphite Li-ion battery

2021 ◽  
Vol 498 ◽  
pp. 229884
Author(s):  
Xiaoxuan Chen ◽  
Yonggang Hu ◽  
Sheng Li ◽  
Yuexing Wang ◽  
Dongjiang Li ◽  
...  
Keyword(s):  
State Of Health ◽  
Li Ion Battery ◽  
Li Ion ◽  
Degradation Modes

Current-Split Estimation in Li-Ion Battery Pack: An Enhanced Weighted Recursive Filter Method

2015 ◽  
Vol 1 (4) ◽  
pp. 402-412 ◽  
Author(s):  
Haris M. Khalid ◽  
Qadeer Ahmed ◽  
Jimmy C.-H. Peng ◽  
Giorgio Rizzoni
Keyword(s):  
Battery Pack ◽  
Filter Method ◽  
Li Ion Battery ◽  
Recursive Filter ◽  
Li Ion

A Methodological Approach for Supporting the Thermal Design of Li-Ion Battery for Customized Electric Vehicles

2014 ◽  
Author(s):  
Daniele Landi ◽  
Paolo Cicconi ◽  
Michele Germani
Keyword(s):  
Thermal Behavior ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Combustion Engine ◽  
Thermal Design ◽  
Battery Pack ◽  
Scale Production ◽  
Li Ion Battery ◽  
Suitable Alternative ◽  
Li Ion

An important issue in the mechanical industry is the reduction of the time to market, in order to meet quickly the customer needs. This goal is very important for SMEs that produce small lots of customized products. In the context of greenhouse gas emissions reduction, vehicles powered by electric motors seem to be the most suitable alternative to the traditional internal combustion engine vehicles. The market of customized electric vehicles is a niche market suitable for SMEs. Nowadays, the energy storage system of an electric vehicle powertrain consists of several Li-ion cells arranged in a container called battery pack. Particularly, the battery unit is considered as the most critical component in electric vehicle, because it impacts on performance and life cycle cost. Currently, the design of a battery pack mostly depends on the related market size. A longer design time is expected in the case of a large scale production. While a small customized production requires more agility and velocity in the design process. The proposed research focuses on a design methodology to support the designer in the evaluation of the battery thermal behavior. This work has been applied in the context of a customized small production. As test case, an urban electric light commercial vehicle has been analyzed. The designed battery layout has been evaluated and simulated using virtual prototyping tools. A cooling configuration has been analyzed and then prototyped in a physical vehicle. The virtual thermal behavior of a Li-ion battery has been validated at the test bench. The real operational conditions have been analyzed reproducing several ECE-15 driving cycles and many acceleration runs at different load values. Thermocouples have measured the temperature values during the physical experiments, in order to validate the analytical thermal profile evaluated with the proposed design approach.

scholarly journals Reliability Analysis of Different Cell Configurations of Lithium ion battery Pack

2019 ◽  
Vol 18 (2) ◽  
pp. 49-56
Author(s):  
Md. Nahian Al Subri Ivan ◽  
Sujit Devnath ◽  
Rethwan Faiz ◽  
Kazi Firoz Ahmed
Keyword(s):  
Mathematical Model ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Battery Pack ◽  
Li Ion Battery ◽  
Series Configuration ◽  
Li Ion ◽  
Parallel Module ◽  
The Mathematical Model ◽  
Parallel Series

To infer and predict the reliability of the remaining useful life of a lithium-ion (Li-ion) battery is very significant in the sectors associated with power source proficiency. As an energy source of electric vehicles (EV), Li-ion battery is getting attention due to its lighter weight and capability of storing higher energy. Problems with the reliability arises while li-ion batteries of higher voltages are required. As in this case several li-ion cells areconnected in series and failure of one cell may cause the failure of the whole battery pack. In this paper, Firstly, the capacity degradation of li-ion cells after each cycle is observed and secondly with the help of MATLAB 2016 a mathematical model is developed using Weibull Probability Distribution and Exponential Distribution to find the reliability of different types of cell configurations of a non-redundant li-ion battery pack. The mathematical model shows that the parallel-series configuration of cells is more reliable than the series configuration of cells. The mathematical model also shows that if the discharge rate (C-rate) remains constant; there could be an optimum number for increasing the cells in the parallel module of a parallel-series onfiguration of cells of a non-redundant li-ion battery pack; after which only increasing the number of cells in parallel module doesn’t increase the reliability of the whole battery pack significantly. 

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