scholarly journals A Health Indicator for the Online Lifetime Estimation of an Electric Vehicle Power Li-Ion Battery

2020 ◽  
Vol 11 (3) ◽  
pp. 59
Author(s):  
Bin Yu ◽  
Haifeng Qiu ◽  
Liguo Weng ◽  
Kailong Huo ◽  
Shiqi Liu ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Health Management ◽  
Estimation Error ◽  
Health Indicators ◽  
Training Data ◽  
Battery Life ◽  
Li Ion Battery ◽  
Load Curve ◽  
Response Level ◽  
Li Ion

With the further development of the electric vehicle (EV) industry, the reliability of prediction and health management (PHM) systems has received great attention. The original Li-ion battery life prediction technology developed by offline training data can no longer meet the needs of use under complex working conditions. The existing methods pay insufficient attention to the dispersive information of health indicators (HIs) under EV driving conditions, and can only calculate through standard configuration files. To solve the problem that it is difficult to directly measure the capacity loss in real time, this paper proposes a battery HI called excitation response level (ERL) to describe the voltage variation at different lifetimes, which could be easily calculated according to the current and voltage under the actual load curve. In addition, in order to further optimize the proposed HI, Box–Cox transformation was used to enhance the linear correlation between the initially extracted HI and the capacity. Several Li-ion batteries were discharged to the 50% state of health (SOH) through profiles with different depths of discharge (DODs) and mean states of charge (SOCs) to verify the accuracy and robustness of the proposed method. The average estimation error of the tested batteries was less than 3%, which shows a good performance for accuracy and robustness.

Intelligent Power Management of Electric Vehicle with Li-Ion Battery

2013 ◽  
Vol 300-301 ◽  
pp. 1558-1561
Author(s):  
Sheng Chen ◽  
Chih Chen Chen
Keyword(s):  
Electric Vehicle ◽  
Power Management ◽  
Characteristic Curve ◽  
Information Access ◽  
Open Circuit ◽  
Battery Life ◽  
Li Ion Battery ◽  
Cloud Data ◽  
Cloud Server ◽  
Li Ion

The paper aims the power management of Li-ion battery on the electric vehicle to record motor-using behaviors for each electric vehicle in a cloud server. After retrieving information from each electric vehicle, developed algorithm will be able to conclude a proper charging scheme for each electric car according to their using history. Therefore, optimizing rapid charging scheme become possible, and the cloud information can also assist power grid to manage power flow under crucial circumstances. To do integrated management of batteries, the design starts from setting up LiFePO4 batteries’ charging/discharging characteristic curve under different load. Considering the mobility of battery information access, the work proposes a cloud server work as database and computing center. The more information collected by the cloud, the more precise of the battery-using model is. The database collects data including battery SOC, battery voltage, discharging current, temperature…etc. The battery life simulation also works in the cloud by the information about SOC, open-circuit voltage, discharging current and temperature. According to cloud data analysis, charging current 5C/10C/20C under rapid charging grid’s load monitoring is possible; the process of environmental development and hardware planning can train students to use hardware, firmware and software design platform for the skills development for future employment.

Design and Implementation of Electric Vehicle Power Lithium Battery Protection Board

2010 ◽  
Vol 152-153 ◽  
pp. 192-196
Author(s):  
Ju Hua Huang ◽  
Ming Cao ◽  
Hang Guo
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Lithium Batteries ◽  
Lithium Battery ◽  
Short Circuit ◽  
Battery Life ◽  
Test Results ◽  
Charge Balance ◽  
Good Test ◽  
Li Ion

The performance of power lithium batteries directly affects the performance of electric vehicles. To ensure the safety of power lithium batteries and improve battery life, this paper uses Ricoh R5408 Series Li-ion battery protection IC to design the high-current protection board for electric vehicle, to achieve the power lithium battery group overcharge protection, over-discharge protection, over current, short circuit protection, temperature protection and charge balance protection, and has run on the pure electric vehicles with good test results.

Promotional recyclable Li-ion batteries by a magnetic binder with anti-vibration and non-fatigue performance

2015 ◽  
Vol 3 (30) ◽  
pp. 15403-15407 ◽  
Author(s):  
Xizheng Liu ◽  
De Li ◽  
Songyan Bai ◽  
Haoshen Zhou
Keyword(s):  
Cycle Life ◽  
Fatigue Performance ◽  
Pollutant Emission ◽  
Battery Life ◽  
Li Ion Batteries ◽  
Li Ion Battery ◽  
Total Cost ◽  
Long Cycle Life ◽  
Free Process ◽  
Li Ion

Magnetic Fe3O4 particles are used as the binder in a Li-ion battery. This new battery gives a long cycle life and can work well even after intensive vibration. The electrode is fabricated in a liquid-free process and can be easily recycled after battery disposal. It decrease the total cost and pollutant emission over the whole battery life.

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.

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