Lightweight and Integrated Plastic Solutions for Power Battery Racks in Electric Vehicles

2014 ◽  
pp. 61-70
Author(s):  
Thierry Coosemans ◽  
Javier Sanfélix ◽  
Maarten Messagie ◽  
Joeri Van Mierlo ◽  
Anthony Alves ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Power Battery

Study on Quick Changing Device of Power Battery of Electric Vehicle

2011 ◽  
Vol 138-139 ◽  
pp. 718-722
Author(s):  
Chang Xian Cheng ◽  
Jian Hua Yan
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Energy Supply ◽  
Practical Method ◽  
Suitable Method ◽  
Major Topic ◽  
Power Battery

The electricity changing models for the energy supply of electric vehicles are described and introduced. A more suitable method of fast replacing battery of electric vehicles is found and the practical method and process of quickly replacing battery are focused as a major topic. The changing equipment used is studied and described while the efficiency of electrical changing equipments is discussed. The reserve number of batteries in power charging plant and the number of vehicles that each quickly changing device could service are studied and derived.

Research on Automatic Replacing Technology of Power Battery Pack

2011 ◽  
Vol 308-310 ◽  
pp. 217-223 ◽  
Author(s):  
Zhen Po Wang ◽  
Hai Bin Han ◽  
Lu Zeng
Keyword(s):  
Electric Vehicles ◽  
Concrete Structure ◽  
Battery Pack ◽  
Charging Time ◽  
Power Battery ◽  
Replacement Process ◽  
Hydraulic Servo ◽  
Driving Range ◽  
Key Techniques ◽  
The Way

The short driving range and long charging time are two big problems for electric vehicles. A concept of battery pack automatic replacement is put forward in this paper to solve these problems, and a deep research on the key techniques is contained. This paper introduced the way of positioning and locking in replacement process, including the concrete structure of both replacing equipment and battery pack. For reliability problems of the connectors, two schemes are designed. Elastic jacks and coil are adopted to guarantee the reliability and automatically centering. On this basis, battery fast replacing system is designed, which controlled by PLC, driven by electro-hydraulic servo. This was proved to be a big success in practice.

Information Fusion for State Estimation of Power Battery in Electric Vehicle Based on Unscented Kalman Filter

2013 ◽  
Vol 303-306 ◽  
pp. 975-978
Author(s):  
Hong Yu Zheng ◽  
Chang Fu Zong
Keyword(s):  
Kalman Filter ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Information Fusion ◽  
Unscented Kalman Filter ◽  
Accurate Estimate ◽  
Fusion Algorithm ◽  
Power Battery ◽  
Battery State Of Charge ◽  
New Generation

The power battery state of charge (SOC) in electric vehicles is not easy to measure accurately or apply a sensor but the expense is increased. However the variable of SOC is great importance to control of electric vehicles. A power battery model is built by the Partnership for a New Generation of Vehicles (PNGV) model to estimate the state of SOC. In order to make a high accurate estimate for SOC value, an information fusion algorithm based on unscented kalman filter (UKF) is introduced to design an observer. The test results show that the observer based information fusion and UKF are effective and accuracy, so it is may apply it the electric vehicle control and observation.

scholarly journals State of Charge Estimation of Power Battery Using Improved Back Propagation Neural Network

Batteries ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 69 ◽  
Author(s):  
Chuan-Wei Zhang ◽  
Shang-Rui Chen ◽  
Huai-Bin Gao ◽  
Ke-Jun Xu ◽  
Meng-Yue Yang
Keyword(s):  
Neural Network ◽  
Electric Vehicles ◽  
Bp Neural Network ◽  
Back Propagation ◽  
Lithium Ion ◽  
Operating Conditions ◽  
State Of Charge ◽  
Training Data ◽  
Particle Swarm Algorithm ◽  
Power Battery

Accurately estimating the state of charge (SOC) of power batteries in electric vehicles is of great significance to the measurement of the endurance mileage of electric vehicles, as well as the safety protection of the power battery. In view of lithium ion batteries’ nonlinear relation between SOC estimation and current, voltage, and temperature, the improved Back Propagation (BP) neural network method is proposed to accurately estimate the SOC of power batteries. To address the inherent limitations of BP neural network, particle swarm algorithm is adopted to modify the relevant weighting coefficients. In this paper, the lithium iron phosphate battery (3.2 V/20 Amper-Hour) was studied. Charge and discharge experiments were conducted under a constant temperature. The training data were used to construct the surrogate model using the improved BP neural network. It is noted that the accuracy of the developed algorithm is increased by 2% as compared to that of conventional BP. Finally, an actual vehicle condition experiment was designed to further verify the accuracy of these two algorithms. The experimental results show that the improved algorithm is more suitable for real vehicle operating conditions than the traditional algorithm, and the estimation accuracy can meet the industry standards to a greater extent.

Research progress on power battery cooling technology for electric vehicles

2020 ◽  
Vol 27 ◽  
pp. 101155 ◽  
Author(s):  
Mengyao Lu ◽  
Xuelai Zhang ◽  
Jun Ji ◽  
Xiaofeng Xu ◽  
Yongyichuan Zhang
Keyword(s):  
Electric Vehicles ◽  
Research Progress ◽  
Power Battery ◽  
Cooling Technology

Analysis in Power Battery Gradient Utilization of Electric Vehicle

2011 ◽  
Vol 347-353 ◽  
pp. 555-559
Author(s):  
Dan Ming Cheng ◽  
Jing Zhou ◽  
Jin Li ◽  
Cheng Gang Du ◽  
Hua Zhang
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Value Chain ◽  
Battery Energy Storage ◽  
Energy Storage Technology ◽  
Power Battery ◽  
Electric Vehicle Battery ◽  
Battery Technology ◽  
Battery Energy

Currently the high cost and battery cycle life of lithium are the main limitations of commercial developing of electric vehicles, the chemical battery energy storage technology is also facing battery performance and cost issues. the current development of electric vehicle battery technology was analyzed, the magnificance and the value of electric vehicle battery gradient utilization are proposed, the application in different applications field of gradient utilization of electric vehicle battery was analyzed, in the end, this paper concluded that the battery gradient utilization technology will enable the electric vehicles and energy storage to generate new value chain.

Study on Zn-PANi Battery Characteristics Used for Electric Vehicles

2013 ◽  
Vol 724-725 ◽  
pp. 1374-1378
Author(s):  
Sheng Min Cui ◽  
Yuan Lu ◽  
Jin Ping Song ◽  
Jian Feng Wang ◽  
Wen Feng Ding
Keyword(s):  
Electric Vehicles ◽  
Open Circuit Voltage ◽  
Discharge Rate ◽  
Short Circuit ◽  
Dynamic Test ◽  
Open Circuit ◽  
Test Cycle ◽  
Advantages And Disadvantages ◽  
Power Battery ◽  
The Relationship

To study Zn-PANi (polyaniline) battery dynamic characteristics a vehicle power supply based on miniature electric vehicles was designed. And the power battery dynamic test cycle was determined according to the vehicle test cycle prescribed under GB using Land battery testing system. The power battery steady characteristics tests include battery voltage test, per gram capacity test, self-discharge rate test, open circuit voltage and impedance test, cycle life test and short circuit test. Battery discharge characteristics include the relationship between discharge voltage and time, DOD(depth of discharge), the relationship between open circuit voltage, impedance and SOC in different discharge currents. Rationalization proposals in using Zn-PANi batteries efficiently by analyzing battery characteristics, advantages and disadvantages as power batteries are put forward.

scholarly journals Thermal Analysis and Improvements of the Power Battery Pack with Liquid Cooling for Electric Vehicles

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3045 ◽  
Author(s):  
Xia ◽  
Liu ◽  
Huang ◽  
Yang ◽  
Lai ◽  
...  
Keyword(s):  
Thermal Management ◽  
Electric Vehicles ◽  
Thermal Performance ◽  
Lithium Ion ◽  
Battery Pack ◽  
Maximum Temperature ◽  
Design Solution ◽  
Liquid Cooling ◽  
Power Battery ◽  
Reference Design

In order to ensure thermal safety and extended cycle life of Lithium-ion batteries (LIBs) used in electric vehicles (EVs), a typical thermal management scheme was proposed as a reference design for the power battery pack. Through the development of the model for theoretical analysis and numerical simulation combined with the thermal management test bench, the designed scheme could be evaluated. In particular, the three-dimensional transient thermal model was used as the type of model. The test result verified the accuracy and the rationality of the model, but it also showed that the reference design could not reach the qualified standard of thermal performance of the power battery pack. Based on the heat dissipation strategy of liquid cooling, a novel improved design solution was proposed. The results showed that the maximum temperature of the power battery pack dropped by 1 °C, and the temperature difference was reduced by 2 °C, which improved the thermal performance of the power battery pack and consequently provides guidance for the design of the battery thermal management system (BTMS).

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