Development of the Lithium Battery On-Board Charger for Electric Vehicle Based on ZCS

Author(s):  
Tian Yan-fang ◽  
Mei Jian-wei
2010 ◽  
Vol 152-153 ◽  
pp. 192-196
Author(s):  
Ju Hua Huang ◽  
Ming Cao ◽  
Hang Guo

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.


DEFENDONESIA ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 1-6
Author(s):  
Amri Widyatmoko

Teknologi ranpur (combat vehicle) terus berkembang mengikuti perkembangan zaman, termasuk era post pandemic yang menjadi momentum electric vehicle (EV). Sama-sama menggunakan motor listrik, pasar mobil listrik jenis lithium battery (EV) di dunia lebih mendominasi dibandingkan mobil listrik fuel cell hidrogen (FCV). Walaupun demikian terdapat keunggulan fuel cell hidrogen (FCV) yang tidak dapat ditandingi oleh lithium battery yaitu kapasitas daya yang besar untuk mendukung jarak tempuh dan kecepatan dalam refueling/recharging atau pengisian sumber listrik. Sistem propulsi berbasis hidrogen yang menghasilkan listrik memiliki keuntungan bebas suara (noise), asap (smoke), bau (odor) dan panas (heat). Hal ini jika diterapkan pada ranpur dapat mendukung kapabilitas siluman (stealth) sehingga tidak terdeteksi radar pada level tertentu. Kelebihan lain ranpur bertenaga fuell cell hidrogen adalah mengurangi ketergantungan kepada BBM, mengurangi polusi udara dan hidrogen termasuk dalam Energi Baru Terbarukan (EBT) yang bisa dibuat dari banyak sumber. Dalam kondisi keadaan militer terdesak dan jauh dari logistik, hidrogen bisa dibuat sendiri dengan metode elektrolisis air memanfaatkan tenaga surya atau tenaga lain. Kata Kunci: Fuel Cell, Hidrogen, Ranpur, Siluman


2020 ◽  
Author(s):  
Amalia Suzianti ◽  
Ayesha Parvati Dewi ◽  
Andri Mubarak ◽  
Nadhira Dhana Shafira

2013 ◽  
Vol 427-429 ◽  
pp. 824-829
Author(s):  
Li Cun Fang ◽  
Gang Xu ◽  
Tian Li Li ◽  
Ke Min Zhu

An accurate state-of-charge (SOC) estimation of the hybrid electric vehicle (HEV) and electric vehicle (EV) battery pack is a difficult task to be performed online in a vehicle because of the noisy and low accurate measurements and the wide operating conditions in which the vehicle battery can operate. A Sigma-points Kalman Filters (SPKF) algorithm based on an improved Lithium battery cell model to estimate the SOC of a Lithium battery cell is proposed in this paper. The simulation and experiment results show the effectiveness and ease of implementation of the proposed technique.


2014 ◽  
Vol 602-605 ◽  
pp. 2836-2839 ◽  
Author(s):  
Mei Lan Zhou ◽  
Lin Wei ◽  
Jia Bin Wen

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%.


Author(s):  
Nengsheng Bao ◽  
Wei Li ◽  
Ma Chong ◽  
Fan Yuchen ◽  
Li Tuyan

Abstract The new energy electric vehicle, which takes clean electric energy as the main driving force, has no pollutants and exhaust emissions during its operation. And has a higher energy utilization ratio than the fuel locomotive. Therefore, electric vehicles have been widely developed in recent years. The maximum temperature and temperature consistency of battery pack in electric vehicle have great influence on the life and safety of battery. In this paper, the thermal management system of lithium battery pack was taken as the research object. The temperature distribution and uniformity of battery pack under different heat dissipation conditions were analyzed based on computational fluid dynamics (CFD). The multi-objective optimization method of battery pack thermal management system was carried out by combining sur-rogate model with fast non-dominated sorting genetic algorithm (NSGA-II). The maximum temperature of the battery pack obtained from candidate point 1 is 310.72K, which is 4.99K lower than the initial model temperature, and the temperature standard deviation is 0.76K, with a reduction rate of 51.9%. Experiment results showed that maximum difference between the optimized and experimental value of the maximum temperature is 0.8K, and the error was within 1K. Therefore, the multi-objective optimization method proposed in this paper has high accuracy.


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