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.

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.

Challenge-Driven Printing Strategies Toward High-Performance Solid-State Lithium Batteries

2022 ◽  
Author(s):  
Jing Wang ◽  
Xingkang Huang ◽  
Junhong Chen
Keyword(s):  
Solid State ◽  
Electric Vehicles ◽  
Lithium Batteries ◽  
High Performance ◽  
Form Factors ◽  
Portable Devices ◽  
Li Ion Batteries ◽  
Battery Systems ◽  
Li Ion

Solid-state lithium batteries (SSLBs) are promising candidates for replacing traditional liquid-based Li-ion batteries and revolutionizing battery systems for electric vehicles and portable devices. However, longstanding issues such as form factors,...

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.

The Parameters Matching and Simulation of Pure Electric Vehicle Composite Power Supply Based on CRUISE

2014 ◽  
Vol 602-605 ◽  
pp. 2836-2839 ◽  
Author(s):  
Mei Lan Zhou ◽  
Lin Wei ◽  
Jia Bin Wen
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Power Supply ◽  
Lithium Battery ◽  
Power Supply System ◽  
Supply System ◽  
Power Performance ◽  
System Parameters ◽  
The World ◽  
Ultra Capacitor

Pure electric vehicles develop rapidly all over the world. According to building the model of pure electric vehicle in the CRUISE software, first the power supply system parameters are designed and simulated, and then the power performance and feasibility of the model are verified. The design of CPS (composite power supply) which combined UC (ultra capacitor) with Li-B (lithium battery) can extend the life of the Li-B, and protect the Li-B in some way. Under the NEDC operating condition, the simulations of the SPS (single power supply) and the CPS are taken. The result shows that the variation of the Li-B SOC decrease by 8%, compared the CPS system with the SPS system, the comprehensive energy consumption economy is 6.25%.

scholarly journals IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1072
Author(s):  
Shabana Urooj ◽  
Fadwa Alrowais ◽  
Yuvaraja Teekaraman ◽  
Hariprasath Manoharan ◽  
Ramya Kuppusamy
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Visual Analysis ◽  
Smart Cities ◽  
The Body ◽  
Battery Life ◽  
Boosting Algorithm ◽  
Online Monitoring System ◽  
And Performance ◽  
Performance Results

The application of Internet of Things (IoT) has been emerging as a new platform in wireless technologies primarily in the field of designing electric vehicles. To overcome all issues in existing vehicles and for protecting the environment, electric vehicles should be introduced by integrating an intellectual device called sensor all over the body of electric vehicle with less cost. Therefore, this article confers the need and importance of introducing electric vehicles with IoT based technology which monitors the battery life of electric vehicles. Since the electric vehicles are implemented with internet, an online monitoring system which is called Things Speak has been used for monitoring all the vehicles in a continuous manner (day-by-day). These online results will then be visualized in MATLAB after an effective boosting algorithm is integrated with objective function. The efficiency of proposed method is tested by visual analysis and performance results prove that the projected method on electric vehicle is improved when using IoT based technology. It is also observed that cost of implementation is lesser and capacity of electric vehicle is increased to about 74.3% after continuous monitoring with sensors.

State of Charge Estimation for Lithium Batteries in EV

2012 ◽  
Vol 461 ◽  
pp. 155-159
Author(s):  
Yang Yu ◽  
Wen Dong ◽  
Ze Long ◽  
Min Hong
Keyword(s):  
Electric Vehicle ◽  
Lithium Batteries ◽  
Lithium Battery ◽  
Accurate Estimate ◽  
State Of Charge ◽  
Initial Condition ◽  
Forecast Method ◽  
Electrochemical Mechanism ◽  
State Of Charge Estimation ◽  
Important Significance

The accurate estimate to remaining power of the lithium battery has a very important significance to continued operation of the electric vehicle. Based on the electrochemical mechanism of lithium batteries during charge and discharge, by using the genetic algorithms to determine the weights of the SVM network, a combination algorithm is applied to estimate state-of-charge and the initial condition of network is optimized and has less error to the network. The simulation results show that the optimization network has higher precision for lithium battery SOC forecast method and can be used to estimate the lithium battery SOC value of the electric vehicle

scholarly journals Research on Urban Electric Vehicle Public Charging Network Based on 5G and Big Data

2021 ◽  
Vol 2066 (1) ◽  
pp. 012045
Author(s):  
Weijing Yao ◽  
Cheng Zhang ◽  
Guoru Deng ◽  
Wangsong Ke ◽  
Dai Zhang ◽  
...  
Keyword(s):  
Big Data ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Fusion Welding ◽  
Electrical Safety ◽  
Test Experiment ◽  
Charging Mode ◽  
Current Impact

Abstract Under the pressure of energy and environmental protection, we will promote the technological progress and demonstration of electric vehicles, and the construction of charging facilities will continue. Charging facilities planning and orderly charging, as two major research directions of electric vehicle infrastructure, are of great significance for the future development of electric vehicles. The optimal charging of electric vehicles can effectively improve the safe and economic operation ability of distribution network, which is of great significance to its safe operation. Therefore, this paper proposes the outsourcing test experiment and processing of urban electric vehicle public charging network based on 5G and big data. In this paper, through the analysis of the development status of urban electric vehicles, this paper proposes to optimize the charging mode of electric vehicles by combining the charging network forward and backward algorithm. In the outsourcing test experiment, the electrical safety test shows that when the current reaches 1.1-37.1kw: 5000A, when the power factor is 0.8 ∼ 0.9, when the short-circuit current impact is tolerated, the connection device will not affect the breaking operation by contact fusion welding, and the insulation protection will not be invalid. Through investigation and analysis, the satisfaction degree of electric vehicle optimization algorithm is increasing year by year. Through the analysis of the test results, the research in this paper has achieved ideal results and made a contribution to the research of urban electric vehicle public charging network.

scholarly journals Research and realization of automatic test system for motor controller unit

2021 ◽  
Vol 260 ◽  
pp. 03001
Author(s):  
Lingxiao Zhao ◽  
Xiangpeng Zeng ◽  
Huansheng Ma
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Automotive Industry ◽  
Automobile Industry ◽  
Test System ◽  
Test Results ◽  
Automatic Test ◽  
Automatic Test System ◽  
Motor Controller ◽  
Test Verification

The development of electric vehicles has gradually become the mainstream trend of the automobile industry, and the motor controller unit is one of the key parts of the electric vehicle. The reliability and safety of the electric vehicle motor controller unit have attracted extensive attention in the industry in recent years. In order to meet the automotive industry on the motor controller unit reliability test verification. This paper studies and designs an automatic test system of the motor controller unit. And introduces the hardware and software control strategy test system in detail .The test results prove the feasibility and convenience of the test system.

Study on the Lithium-Ion Batteries Performance of Electric Vehicles

2014 ◽  
Vol 986-987 ◽  
pp. 1869-1872 ◽  
Author(s):  
Jun Min Lu ◽  
Xiao Kan Wang
Keyword(s):  
Lithium Ion Batteries ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Lithium Batteries ◽  
Lithium Ion ◽  
Technical Support ◽  
Discharge Performance ◽  
Lead Acid Batteries ◽  
Comprehensive Comparison ◽  
Lead Acid

By comprehensive analyzing the lead-acid batteries development situation of electric vehicle at first, and making a comprehensive comparison for the performances and features of the lead-acid batteries, nickel hydrogen batteries and lithium-ion batteries, then studying the charge and discharge performance of the lithium batteries which provides technical support and references for the application and popularization of lithium-ion batteries in electric vehicles.

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