串聯(lián)式重度混合動(dòng)力裝載機(jī)傳動(dòng)方案與控制策略研究
發(fā)布時(shí)間：2018-09-08 14:27
【摘要】：裝載機(jī)能耗高，排放差，燃油效率低，在當(dāng)今能源緊缺和環(huán)境惡化問(wèn)題日益嚴(yán)重的情況下，研究裝載機(jī)混合動(dòng)力節(jié)能技術(shù)具有重要的理論意義與現(xiàn)實(shí)意義。近年來(lái)對(duì)并聯(lián)混合動(dòng)力裝載機(jī)技術(shù)的研究取得了一系列優(yōu)秀成果，有效地提高了能源利用率，但是由于傳統(tǒng)并聯(lián)方案仍保留液力變矩器，無(wú)法從根本上提高系統(tǒng)傳動(dòng)效率，制約了并聯(lián)結(jié)構(gòu)的發(fā)展。本文提出串聯(lián)式重度油-電混合動(dòng)力裝載機(jī)結(jié)構(gòu)方案，取消了液力變矩器，針對(duì)結(jié)構(gòu)方案與裝載機(jī)工況特點(diǎn)進(jìn)行控制策略研究，通過(guò)有效地管理系統(tǒng)能量，合理分配系統(tǒng)功率，使動(dòng)力系統(tǒng)各元件在高效區(qū)工作，取得較好的節(jié)能減排效果。 論文主要研究?jī)?nèi)容及相關(guān)結(jié)論包括以下幾點(diǎn)： 1.論文提出了重度串聯(lián)式油-電混合動(dòng)力結(jié)構(gòu)方案。采用理論公式和經(jīng)驗(yàn)公式相結(jié)合的分析方式，建立串聯(lián)混合動(dòng)力裝載機(jī)動(dòng)力傳動(dòng)系統(tǒng)模型。采用遺傳算法對(duì)系統(tǒng)進(jìn)行參數(shù)匹配，提出了以動(dòng)力系統(tǒng)效率為優(yōu)化目標(biāo)函數(shù)，以滿足負(fù)載驅(qū)動(dòng)需求、實(shí)現(xiàn)最小裝機(jī)功率為約束條件的參數(shù)匹配優(yōu)化方案。 2.研究了串聯(lián)式重度混合動(dòng)力裝載機(jī)系統(tǒng)的控制策略。提出了基于自判斷分段式多工作點(diǎn)控制策略與模糊邏輯控制策略，設(shè)計(jì)了模糊邏輯控制器，建立控制策略結(jié)構(gòu)與控制規(guī)則。臺(tái)架試驗(yàn)表明：兩種控制策略都能保證發(fā)動(dòng)機(jī)基本工作在高效區(qū)且輸出平穩(wěn)轉(zhuǎn)矩，超級(jí)電容穩(wěn)定工作且達(dá)到動(dòng)態(tài)平衡。在發(fā)動(dòng)機(jī)定轉(zhuǎn)速下，采用自判斷分段式多工作點(diǎn)切換控制策略比傳統(tǒng)裝載機(jī)節(jié)油約12%，采用模糊邏輯控制策略比傳統(tǒng)裝載機(jī)節(jié)油約14.03%；在發(fā)動(dòng)機(jī)變轉(zhuǎn)速下，采用自判斷分段式多工作點(diǎn)切換控制策略比傳統(tǒng)裝載機(jī)節(jié)油約15.05%，采用模糊邏輯控制策略比傳統(tǒng)裝載機(jī)節(jié)油約17.27%。 3.采用瞬時(shí)優(yōu)化與二次規(guī)劃算法優(yōu)化了模糊邏輯控制策略。建立了瞬時(shí)等效燃油消耗計(jì)算模型，分析系統(tǒng)功率流，制定了基于二次規(guī)劃的能量管理策略。以系統(tǒng)綜合效率最優(yōu)為目標(biāo)建立優(yōu)化模型，優(yōu)化發(fā)動(dòng)機(jī)轉(zhuǎn)速與動(dòng)力系統(tǒng)功率分配，提高模糊邏輯控制效果。臺(tái)架試驗(yàn)證明，瞬時(shí)優(yōu)化算法進(jìn)一步降低了發(fā)動(dòng)機(jī)油耗，比傳統(tǒng)裝載機(jī)節(jié)能約18.18%；二次規(guī)劃算法實(shí)現(xiàn)全局最優(yōu)控制路徑，，保證發(fā)動(dòng)機(jī)工作在最優(yōu)效率曲線附近，進(jìn)一步改善了燃油經(jīng)濟(jì)性，相比傳統(tǒng)裝載機(jī)節(jié)能約18.48%。 4.搭建了國(guó)內(nèi)第一個(gè)基于電力傳動(dòng)技術(shù)的重度串聯(lián)式油-電混合動(dòng)力裝載機(jī)試驗(yàn)臺(tái)。并分別進(jìn)行了以下八組對(duì)比試驗(yàn)：（1）傳統(tǒng)試驗(yàn)，根據(jù)駕駛員意圖控制系統(tǒng)工作；（2）并聯(lián)式混合動(dòng)力發(fā)動(dòng)機(jī)變轉(zhuǎn)速試驗(yàn)，采用模糊邏輯控制系統(tǒng)轉(zhuǎn)矩分配；（3）串聯(lián)式混合動(dòng)力發(fā)動(dòng)機(jī)定轉(zhuǎn)速試驗(yàn)，采用邏輯門限控制系統(tǒng)轉(zhuǎn)矩分配；（4）串聯(lián)式混合動(dòng)力發(fā)動(dòng)機(jī)定轉(zhuǎn)速試驗(yàn)，采用模糊邏輯控制系統(tǒng)轉(zhuǎn)矩分配；（5）串聯(lián)式混合動(dòng)力發(fā)動(dòng)機(jī)變轉(zhuǎn)速試驗(yàn)，采用邏輯門限控制系統(tǒng)轉(zhuǎn)矩分配；（6）串聯(lián)式混合動(dòng)力發(fā)動(dòng)機(jī)變轉(zhuǎn)速試驗(yàn)，采用模糊邏輯控制策略進(jìn)行系統(tǒng)轉(zhuǎn)矩分配；（7）串聯(lián)式混合動(dòng)力發(fā)動(dòng)機(jī)變轉(zhuǎn)速試驗(yàn)，在模糊邏輯轉(zhuǎn)矩控制的基礎(chǔ)上進(jìn)行瞬時(shí)優(yōu)化；（8）串聯(lián)式混合動(dòng)力發(fā)動(dòng)機(jī)變轉(zhuǎn)速試驗(yàn)，在模糊邏輯轉(zhuǎn)矩控制的基礎(chǔ)上進(jìn)行二次規(guī)劃，尋找全局最優(yōu)控制路徑。通過(guò)臺(tái)架試驗(yàn)驗(yàn)證了所提出的能量管理控制策略的正確性和適用性。 理論和試驗(yàn)研究工作表明：串聯(lián)式重度油-電混合動(dòng)力裝載機(jī)通過(guò)電力傳動(dòng)技術(shù)取代了傳統(tǒng)的液力變矩器，提高了傳動(dòng)系統(tǒng)傳動(dòng)效率；本文提出的控制策略實(shí)現(xiàn)了不同工況下系統(tǒng)的能量管理，使動(dòng)力源與負(fù)載能夠更好地匹配，提高了裝載機(jī)效率與燃油經(jīng)濟(jì)性。
[Abstract]:With the high energy consumption, poor emission and low fuel efficiency of loaders, it is of great theoretical and practical significance to study the hybrid energy-saving technology of loaders under the situation of energy shortage and environmental deterioration. However, the traditional parallel scheme still retains the hydraulic torque converter, which can not fundamentally improve the transmission efficiency of the system and restricts the development of the parallel structure. The research shows that by effectively managing the energy of the system and reasonably distributing the power of the system, the components of the power system can work in the high efficiency area and achieve better effect of energy saving and emission reduction.
The main contents and conclusions of the thesis include the following points:
1. The structure scheme of the heavy series oil-electric hybrid power system is presented in this paper. The power transmission system model of the series hybrid power loader is established by combining the theoretical formula with the empirical formula. To achieve the minimum power constraint condition, a parameter matching optimization scheme is implemented.
2. The control strategy of Series Series Heavy Hybrid Power Loader System is studied. The self-judgment multi-point control strategy and fuzzy logic control strategy are proposed. The fuzzy logic controller is designed and the control strategy structure and control rules are established. The bench test results show that the two control strategies can ensure the basic work of the engine. At constant engine speed, the self-judging multi-working point switching control strategy saves about 12% fuel compared with the traditional loader, and the fuzzy logic control strategy saves about 14.03% fuel compared with the traditional loader; at variable engine speed, the self-judging score is adopted. The switching control strategy of segment multi-working point saves about 15.05% fuel compared with the traditional loader, and the fuzzy logic control strategy saves about 17.27% fuel compared with the traditional loader.
3. Fuzzy logic control strategy is optimized by instantaneous optimization and quadratic programming algorithm. The calculation model of instantaneous equivalent fuel consumption is established, the system power flow is analyzed, and the energy management strategy based on quadratic programming is formulated. The bench test proves that the instantaneous optimization algorithm further reduces the engine fuel consumption and saves about 18.18% energy compared with the traditional loader; the quadratic programming algorithm realizes the global optimal control path, guarantees the engine to work near the optimal efficiency curve, further improves the fuel economy, and saves about 18% energy compared with the traditional loader. .48%.
4. The first test rig of heavy series oil-electric hybrid loader based on electric drive technology in China is built. The following eight groups of comparative tests are carried out: (1) Traditional test, which works according to the driver's intention control system; (2) Parallel hybrid engine variable speed test, which adopts fuzzy logic control system to control torque fraction. (3) constant speed test of series hybrid engine, using logic threshold control system torque distribution; (4) constant speed test of series hybrid engine, using fuzzy logic control system torque distribution; (5) variable speed test of series hybrid engine, using logic threshold control system torque distribution; (6) series hybrid engine torque distribution; (6) variable speed test, using logic threshold control system torque distribution; (6) series hybrid engine test Hybrid engine variable speed test, the use of fuzzy logic control strategy for system torque distribution; (7) series hybrid engine variable speed test, on the basis of fuzzy logic torque control for instantaneous optimization; (8) series hybrid engine variable speed test, on the basis of fuzzy logic torque control to advance The quadratic programming is used to find the global optimal control path. The correctness and applicability of the proposed energy management control strategy are verified by bench test.
Theoretical and experimental studies show that the series heavy oil-electric hybrid loader replaces the traditional hydraulic torque converter by the power transmission technology and improves the transmission efficiency of the transmission system; the control strategy proposed in this paper realizes the energy management of the system under different working conditions, so that the power source and load can be better matched and improved. Loader efficiency and fuel economy.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TH243
本文編號(hào)：2230792
[Abstract]:With the high energy consumption, poor emission and low fuel efficiency of loaders, it is of great theoretical and practical significance to study the hybrid energy-saving technology of loaders under the situation of energy shortage and environmental deterioration. However, the traditional parallel scheme still retains the hydraulic torque converter, which can not fundamentally improve the transmission efficiency of the system and restricts the development of the parallel structure. The research shows that by effectively managing the energy of the system and reasonably distributing the power of the system, the components of the power system can work in the high efficiency area and achieve better effect of energy saving and emission reduction.
The main contents and conclusions of the thesis include the following points:
1. The structure scheme of the heavy series oil-electric hybrid power system is presented in this paper. The power transmission system model of the series hybrid power loader is established by combining the theoretical formula with the empirical formula. To achieve the minimum power constraint condition, a parameter matching optimization scheme is implemented.
2. The control strategy of Series Series Heavy Hybrid Power Loader System is studied. The self-judgment multi-point control strategy and fuzzy logic control strategy are proposed. The fuzzy logic controller is designed and the control strategy structure and control rules are established. The bench test results show that the two control strategies can ensure the basic work of the engine. At constant engine speed, the self-judging multi-working point switching control strategy saves about 12% fuel compared with the traditional loader, and the fuzzy logic control strategy saves about 14.03% fuel compared with the traditional loader; at variable engine speed, the self-judging score is adopted. The switching control strategy of segment multi-working point saves about 15.05% fuel compared with the traditional loader, and the fuzzy logic control strategy saves about 17.27% fuel compared with the traditional loader.
3. Fuzzy logic control strategy is optimized by instantaneous optimization and quadratic programming algorithm. The calculation model of instantaneous equivalent fuel consumption is established, the system power flow is analyzed, and the energy management strategy based on quadratic programming is formulated. The bench test proves that the instantaneous optimization algorithm further reduces the engine fuel consumption and saves about 18.18% energy compared with the traditional loader; the quadratic programming algorithm realizes the global optimal control path, guarantees the engine to work near the optimal efficiency curve, further improves the fuel economy, and saves about 18% energy compared with the traditional loader. .48%.
4. The first test rig of heavy series oil-electric hybrid loader based on electric drive technology in China is built. The following eight groups of comparative tests are carried out: (1) Traditional test, which works according to the driver's intention control system; (2) Parallel hybrid engine variable speed test, which adopts fuzzy logic control system to control torque fraction. (3) constant speed test of series hybrid engine, using logic threshold control system torque distribution; (4) constant speed test of series hybrid engine, using fuzzy logic control system torque distribution; (5) variable speed test of series hybrid engine, using logic threshold control system torque distribution; (6) series hybrid engine torque distribution; (6) variable speed test, using logic threshold control system torque distribution; (6) series hybrid engine test Hybrid engine variable speed test, the use of fuzzy logic control strategy for system torque distribution; (7) series hybrid engine variable speed test, on the basis of fuzzy logic torque control for instantaneous optimization; (8) series hybrid engine variable speed test, on the basis of fuzzy logic torque control to advance The quadratic programming is used to find the global optimal control path. The correctness and applicability of the proposed energy management control strategy are verified by bench test.
Theoretical and experimental studies show that the series heavy oil-electric hybrid loader replaces the traditional hydraulic torque converter by the power transmission technology and improves the transmission efficiency of the transmission system; the control strategy proposed in this paper realizes the energy management of the system under different working conditions, so that the power source and load can be better matched and improved. Loader efficiency and fuel economy.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TH243
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