1. 研究目的与意义（文献综述）
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鍦ㄥ嚭琛岃兘鑰椾及璁＄爺绌朵腑锛屽凡鏈夊浣嶅浗鍐呭瀛﹁€呬娇鐢ㄤ笉鍚岀殑妯″瀷鍜岃瘯楠屾柟娉曡繘琛屾帰绱紝鑰冭檻璇稿褰卞搷鍥犵礌锛屼负妯″瀷鐨勬瀯寤恒€佸洜绱犵殑閫夋嫨鍜岀簿搴︾殑鎻愰珮濂犲畾浜嗕竴瀹氱悊璁哄熀纭€銆備弗鑻?/span>绛?/span>浜?/span>瀵圭數鍔ㄥ叕浜よ溅鏁版嵁鍒嗘瀽寰楀埌锛岀敱浜庨┚椹朵範鎯殑涓嶅悓锛岀浉鍚岃矾绾夸笅鐢靛姩鍏氦杞﹁兘鑰楄〃鐜板樊寮傚緢澶э紝鍑虹珯娑堣€楃殑鑳介噺瀵圭嚎璺繍琛屾€昏兘鑰楀奖鍝嶆渶澶э紝鍙告満闂寸殑鎿嶄綔宸埆涓昏浣撶幇鍦ㄨ繘绔欐柟寮忓拰鍑虹珯鐢垫満杩愬姩璺緞宸紓涓婏紟韪忔澘銆佽溅閫熴€佸姞閫熷害銆佸姞閫熷害鏍囧噯宸瓑鍙傛暟鏄弿杩板徃鏈洪┚椹惰涓虹壒寰佺殑閲嶈鎸囨爣銆?/span>鐜嬫睙娉?/span>绛変汉鍩轰簬瀹為檯璺綉涓數鍔ㄦ苯杞﹀ぇ閲忓嚭琛屾暟鎹紝鎻愬嚭浜嗕互鍑鸿涓哄崟浣嶆瀯寤鸿兘鑰椾及璁℃ā鍨嬩负鎺㈢┒杞﹁締闂撮┚椹惰涓轰範鎯鑷磋兘鑰楃壒寰佸樊寮傦紝娣卞叆鎸栨帢浜嗗嚭琛岃涓轰俊鎭紝搴旂敤澶氬眰娣峰悎鏁堝簲妯″瀷锛岃В閲婁簡鍑鸿鑳借€楃壒寰佺殑寮傝川鏈虹悊锛岄娆″尮閰嶄簡鍑鸿娓╁害鏁版嵁锛屽苟鎺㈢┒浜嗘俯搴︾殑褰卞搷鏁堝簲銆傝瀺鍚堜簡涓嶅悓棰楃矑搴︺€佷笉鍚岀淮搴︺€佷笉鍚岀被鍨嬬殑澶氱鏁版嵁锛屾渶鍚庡埄鐢ㄤ氦浜掓晥搴斿垎鏋愭柟娉曪紝鎻愬嚭浜嗕竴绉嶇儹绠＄悊鑺傝兘绛栫暐銆?/span>Shatrughan Modi绛変汉鐢ㄦ繁搴﹀嵎绉Н鍒嗙殑鏂规硶锛屼及绠楃數鍔ㄦ苯杞﹁兘鑰楋紝鐢?/span>涓変釜澶栭儴鍙傛暟鐨勭數鍔ㄦ苯杞﹁兘鑰椾及璁?/span>锛?/span>涔熷嵆閬撹矾鏍囬珮銆佺壍寮曞姏鍜岃溅閫?/span>銆傚畫濯涘獩鍒╃敤鐢靛姩姹借溅鍙版灦娉曡兘鑰楀疄楠屾暟鎹垎鏋愬緱鍒伴€熷害銆佸姞閫熷害鍜屾瘮鍔熺巼(VSP)绛変笁涓弬鏁板鐢靛姩姹借溅鑳借€楀潎瀛樺湪姝ｅ悜褰卞搷锛屽缓绔嬩簡鍩轰簬 VSP 鍒嗗竷鐨勫悓鏃跺弽鏄犲井瑙傝兘鑰楃壒寰佸拰浜ら€氬弬鏁板姩鎬佸彉鍖栫殑鐢靛姩姹借溅鑳借€楅噺鍖栨ā鍨嬨€?/span>
2. 研究的基本内容与方案
鏈?/span>鐮旂┒浠ョ函鐢靛姩鍑虹姹借溅涓虹爺绌跺璞★紝澶ц嚧鎸夊涓嬫€濊矾杩涜锛?/span>
绗竴绔狅細缁
绗簩绔狅細鍥藉唴澶栫爺绌惰繘灞?/span>
绗笁绔狅細鑳借€楀缓妯?/span>
绗洓绔狅細浠跨湡
绗簲绔狅細缁撹涓庡睍鏈?/span>
3. 研究计划与安排
绗?/span>1鍛細涓嬭揪姣曚笟璁捐浠诲姟涔﹀強瑕佹眰锛屾煡闃呭浗鍐呭鐮旂┒鐜扮姸绛夋枃鐚紱
绗?/span>2鍛細鏌ラ槄鏂囩尞锛岃璁烘瘯涓氳璁′换鍔″拰鍐呭锛?/span>
绗?/span>3绔狅細鎾板啓骞舵彁浜ゆ瘯涓氳璁″紑棰樻姤鍛婏紱
绗?/span>4鑷崇5鍛細姣曚笟璁捐锛屽苟瀹屾垚鑻辨枃鏂囩尞缈昏瘧锛?/span>
绗?/span>6鑷崇8鍛細姣曚笟璁捐锛屽畬鎴愪腑鏈熸鏌ワ紱
绗?/span>9鑷崇12鍛細娣卞寲姣曚笟璁捐浠诲姟锛屽畬鎴愬疄闄呰璁★紱
绗?/span>13鑷崇15鍛細鎾板啓姣曚笟璁捐璁烘枃鎻愮翰鍜屾鏂囷紝瀹屾垚姣曚笟璁捐璁烘枃锛?/span>
绗?/span>16鍛細鍑嗗璁烘枃绛旇京銆?/span>
4. 参考文献（12篇以上）
[1]. 鍩轰簬鍑鸿琛屼负瑙傛祴鐨勭數鍔ㄦ苯杞﹁兘鑰椾及璁＄爺绌?/span>. 鐜嬫睙娉?/span>, 纭曞＋瀛︿綅璁烘枃锛屽ぇ杩炵悊宸ュぇ瀛?锛?/span>2017.
[2] xu hao, hewu wang, zhenhong lin, minggao ouyang. seasonal effects on electric vehicle energy consumption and driving range: a case study on personal, taxi, and ridesharing vehicles. journal of cleaner production, 2019.
[3] 绾數鍔ㄦ苯杞﹁兘鑰楅娴嬩笌缁┒閲岀▼浼扮畻. 閮戝畞瀹夛紝纭曞＋瀛︿綅璁烘枃锛屽ぇ杩炵悊宸ュぇ瀛︼紝2016.
[4] 涓ヨ嫳锛屽簞缁ф櫀锛岃阿杈?/span>. 绾數鍔ㄥ叕浜ゅ杞﹀徃鏈洪┚椹惰涓哄樊寮傚鑳借€楃殑褰卞搷, 澶╂触澶у瀛︽姤(鑷劧绉戝涓庡伐绋嬫妧鏈増)锛?/span>2014,03锛?/span>231-236.
[5]shatrughan modi, jhilik bhattacharya, prasenjit basak. estimation of energy consumption of electric vehicles using deep convolutional neural network to reduce driver鈥?/span>s range anxiety. isa transactions, 2019.
[6]cheng zhang, fanyang, xinyou ke, zhifeng liu, chrisyuan. predictive modeling of energy consumption and greenhouse gas emissions from autonomous electric vehicle operations. applied energy, 2019, 254,113597.
